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Search Results (14,223)

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12 pages, 4261 KiB  
Article
Application of Kolmogorov–Sinai’s Metric Entropy for the Analysis of Mechanical Properties in the Bending Test of Epoxy–Rubber–Glass Composites
by Norbert Abramczyk, Grzegorz Hajdukiewicz, Adam Charchalis and Daria Żuk
Materials 2024, 17(20), 5079; https://doi.org/10.3390/ma17205079 (registering DOI) - 18 Oct 2024
Abstract
The article presents an analysis of the results obtained during the three-point bending test for seven variants of epoxy rubber–glass composites manufactured according to innovative technology. Different contents of rubber recyclate (3, 5, and 7%) and different methods of distribution of the recyclate [...] Read more.
The article presents an analysis of the results obtained during the three-point bending test for seven variants of epoxy rubber–glass composites manufactured according to innovative technology. Different contents of rubber recyclate (3, 5, and 7%) and different methods of distribution of the recyclate in the composite structure (1, 2, and 3 layers with a constant share of 5% of the recyclate) were used in the tested materials. To determine the stress values at which critical failures of the tested materials are initiated in the bending test, an analysis was carried out using the Kolmogorov–Sinai (EK-S) metric entropy calculations. The analysis results showed that for each of the above-mentioned variants of the tested epoxy–glass composites, the onset of critical changes occurring in the material structure occurs below the recorded values of the flexural strength Rmg. The decrease in the RmgK-S value in relation to Rmg is different for different material variants and depends mainly on the % content of rubber recyclate and the amount and method of decomposition of rubber recyclate in the layers of the analyzed materials. The research showed that the introduction of rubber recyclate into the composition of composites has a positive effect on their strength properties. This process allows for the efficient use of hard to degrade waste and opens up the possibility of using the newly developed materials in many industrial sectors. Full article
(This article belongs to the Section Mechanics of Materials)
Show Figures

Figure 1

Figure 1
<p>An example of a tire recycling process.</p>
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<p>Diagram of the distribution of rubber recyclate layers in manufactured composites [<a href="#B25-materials-17-05079" class="html-bibr">25</a>].</p>
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<p>(<b>a</b>) Geometry and dimensions of specimens for three-point bending test (g—thickness of the sample); (<b>b</b>) a sample of <span class="html-italic">K3</span> material during a bending test.</p>
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<p>(<b>a</b>) Results of the metric entropy calculation <span class="html-italic">E<sub>K-S</sub></span> as a function of test time for the <span class="html-italic">K0</span> composite sample; (<b>b</b>) bending curve for the <span class="html-italic">K0</span> composite sample, with the strain value obtained from the <span class="html-italic">E<sub>K-S</sub></span> metric entropy calculations marked.</p>
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<p>(<b>a</b>) Results of the metric entropy calculation <span class="html-italic">E<sub>K-S</sub></span> as a function of test time for the <span class="html-italic">K1</span> composite sample; (<b>b</b>) bending curve for the <span class="html-italic">K1</span> composite sample, with the strain value obtained from the <span class="html-italic">E<sub>K-S</sub></span> metric entropy calculations marked.</p>
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<p>(<b>a</b>) Results of the metric entropy calculation <span class="html-italic">E<sub>K-S</sub></span> as a function of test time for the <span class="html-italic">K2</span> composite sample; (<b>b</b>) bending curve for the <span class="html-italic">K2</span> composite sample, with the strain value obtained from the <span class="html-italic">E<sub>K-S</sub></span> metric entropy calculations marked.</p>
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<p>(<b>a</b>) Results of the metric entropy calculation <span class="html-italic">E<sub>K-S</sub></span> as a function of test time for the <span class="html-italic">K3</span> composite sample; (<b>b</b>) bending curve for the <span class="html-italic">K3</span> composite sample, with the strain value obtained from the <span class="html-italic">E<sub>K-S</sub></span> metric entropy calculations marked.</p>
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<p>(<b>a</b>) Results of the metric entropy calculation <span class="html-italic">E<sub>K-S</sub></span> as a function of test time for the <span class="html-italic">L3</span> composite sample; (<b>b</b>) bending curve for the <span class="html-italic">L3</span> composite sample, with the strain value obtained from the <span class="html-italic">E<sub>K-S</sub></span> metric entropy calculations marked.</p>
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<p>(<b>a</b>) Results of the metric entropy calculation <span class="html-italic">E<sub>K-S</sub></span> as a function of test time for the <span class="html-italic">L5</span> composite sample; (<b>b</b>) bending curve for the <span class="html-italic">L5</span> composite sample, with the strain value obtained from the <span class="html-italic">E<sub>K-S</sub></span> metric entropy calculations marked.</p>
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<p>(<b>a</b>) Results of the metric entropy calculation <span class="html-italic">E<sub>K-S</sub></span> as a function of the test time for the <span class="html-italic">L7</span> composite sample; (<b>b</b>) bending curve for the <span class="html-italic">L7</span> composite sample, with the strain value obtained from the <span class="html-italic">E<sub>K-S</sub></span> metric entropy calculations marked.</p>
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25 pages, 25144 KiB  
Article
Evaluating Mobile LiDAR Intensity Data for Inventorying Durable Tape Pavement Markings
by Gregory L. Brinster, Mona Hodaei, Aser M. Eissa, Zach DeLoach, Joseph E. Bruno, Ayman Habib and Darcy M. Bullock
Sensors 2024, 24(20), 6694; https://doi.org/10.3390/s24206694 (registering DOI) - 17 Oct 2024
Viewed by 182
Abstract
Good visibility of lane markings is important for all road users, particularly autonomous vehicles. In general, nighttime retroreflectivity is one of the most challenging marking visibility characteristics for agencies to monitor and maintain, particularly in cold weather climates where agency snowplows remove retroreflective [...] Read more.
Good visibility of lane markings is important for all road users, particularly autonomous vehicles. In general, nighttime retroreflectivity is one of the most challenging marking visibility characteristics for agencies to monitor and maintain, particularly in cold weather climates where agency snowplows remove retroreflective material during winter operations. Traditional surface-applied paint and glass beads typically only last one season in cold weather climates with routine snowplow activity. Recently, transportation agencies in cold weather climates have begun deploying improved recessed, durable pavement markings that can last several years and have very high retroreflective properties. Several dozen installations may occur in a state in any calendar year, presenting a challenge for states that need to program annual repainting of traditional waterborne paint lines, but not paint over the much more costly durable markings. This study reports on the utilization of mobile mapping LiDAR systems to classify and evaluate pavement markings along a 73-mile section of westbound I-74 in Indiana. LiDAR intensity data can be used to classify pavement markings as either tape or non-tape and then identify areas of tape markings that need maintenance. RGB images collected during LiDAR intensity data collection were used to validate the LiDAR classification. These techniques can be used by agencies to develop accurate pavement marking inventories to ensure that only painted lines (or segments with missing tape) are repainted during annual maintenance. Repeated tests can also track the marking intensity over time, allowing agencies to better understand material lifecycles. Full article
(This article belongs to the Section Remote Sensors)
Show Figures

Figure 1

Figure 1
<p>Examples of durable tape markings on I-74 West that need maintenance. (<b>a</b>) Skip lines; (<b>b</b>) edge line.</p>
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<p>Examples of durable tape markings on I-74 West that need maintenance. (<b>a</b>) Skip lines; (<b>b</b>) edge line.</p>
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<p>Lane markings on I-74. (<b>a</b>) Durable tape; (<b>b</b>) waterborne paint.</p>
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<p>Lane markings on I-74. (<b>a</b>) Durable tape; (<b>b</b>) waterborne paint.</p>
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<p>Close-up images of lane markings on I-74 (images taken along bridge deck shoulders using a DSLR Camera). (<b>a</b>) Recessed durable tape; (<b>b</b>) waterborne paint.</p>
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<p>Vehicles used for data collection in 2021. (<b>a</b>) Mobile LiDAR-mapping Ford Transit; (<b>b</b>) mobile retroreflectometer.</p>
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<p>Center skip line linear correlation of 2021 LiDAR intensity and standard retroreflectivity (adapted from [<a href="#B27-sensors-24-06694" class="html-bibr">27</a>]). (<b>a</b>) US-52 and US-41 combined; (<b>b</b>) US-41.</p>
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<p>INDOT fleet vehicle with RetroTek-D unit attached.</p>
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<p>Comparison of painted-over tape with and without camera flash. (<b>a</b>) Yellow without flash; (<b>b</b>) yellow with flash; (<b>c</b>) white without flash; (<b>d</b>) white with flash.</p>
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<p>Comparison of painted-over tape with and without camera flash. (<b>a</b>) Yellow without flash; (<b>b</b>) yellow with flash; (<b>c</b>) white without flash; (<b>d</b>) white with flash.</p>
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<p>Top-down view of LiDAR-generated point cloud with callouts to 5 key locations.</p>
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<p>Close-up view of the 5 key features. (<b>a</b>) Sample section; (<b>b</b>) painted-over white tape (installed in 2018); (<b>c</b>) painted-over yellow tape (installed in 2018).</p>
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<p>Power regression of retroreflectivity and intensity for 26 data sets across 528 miles.</p>
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<p>Linear regression of retroreflectivity and intensity for 26 data sets across 528 miles.</p>
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<p>Map of 73-mile test segment along I-74 in Western Indiana.</p>
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<p>Top-down view of LiDAR-generated point cloud along I-74 with callouts to 5 key locations.</p>
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<p>I-74 LiDAR intensity for skip lines over the 73-mile test segment with callouts to AOIs (Areas of Interest).</p>
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<p>Segmented I-74 LiDAR intensity for skip lines with AOIs automatically identified.</p>
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<p>Dashcam images of areas of interest along I-74. (<b>a</b>) I-74 W, MM 0.4; (<b>b</b>) I-74 W, MM 2.3; (<b>c</b>) I-74 W, MM 5.3; (<b>d</b>) I-74 W, MM 7.1; (<b>e</b>) I-74 W, MM 9.2; (<b>f</b>) I-74 W, MM 12.3; (<b>g</b>) I-74 W, MM 14.5; (<b>h</b>) I-74 W, MM 14.6.</p>
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<p>Annotated I-74 LiDAR intensity for skip lines over the 73-mile test segment showing interchange locations and significant features.</p>
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<p>Ten-mile test loop in West Lafayette, Indiana.</p>
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<p>Top-down view of LiDAR-generated point cloud along Cherry Ln with callouts to 3 key locations.</p>
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<p>Test loop areas of interest LiDAR intensity profiles. (<b>a</b>) Left edge line; (<b>b</b>) center line; (<b>c</b>) right edge line.</p>
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<p>Close-up images of test loop MM 3.9 temporary preformed thermoplastic tape. (<b>a</b>) Flash off; (<b>b</b>) flash on.</p>
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<p>Close-up images of test loop MM 3.9 temporary preformed thermoplastic tape. (<b>a</b>) Flash off; (<b>b</b>) flash on.</p>
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<p>Close-up images of test loop MM 7.9 new thermoplastic markings. (<b>a</b>) Overhead view; (<b>b</b>) level view.</p>
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<p>Close-up images of test loop MM 7.9 new thermoplastic markings. (<b>a</b>) Overhead view; (<b>b</b>) level view.</p>
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15 pages, 9601 KiB  
Article
Comparative Study of Unhatched and Hatched Chicken Egg Shell-Filled Glass Fibre/Polyester Composites
by Suhas Kowshik, Sathyashankara Sharma, Sathish Rao, S. V. Udaya Kumar Shetty, Prateek Jain, Pavan Hiremath, Nithesh Naik and Maitri Manjunath
J. Compos. Sci. 2024, 8(10), 432; https://doi.org/10.3390/jcs8100432 - 17 Oct 2024
Viewed by 289
Abstract
The incorporation of filler materials to enhance the properties of fibre-reinforced plastics is a prevalent practise in materials science. Calcium carbonate is a commonly used inorganic filler in composite fabrication. Eggshell, a rich source of calcium carbonate, offers an organic alternative to conventional [...] Read more.
The incorporation of filler materials to enhance the properties of fibre-reinforced plastics is a prevalent practise in materials science. Calcium carbonate is a commonly used inorganic filler in composite fabrication. Eggshell, a rich source of calcium carbonate, offers an organic alternative to conventional inorganic fillers. This study investigates the efficacy of different types of eggshells as filler materials. Three variants, viz., unhatched raw eggshell, unhatched boiled eggshell, and post-hatched eggshell, were used to fabricate composite variants, which were then subjected to mechanical characterization and compared with unfilled composites. The results indicated that composites filled with unhatched eggshells outperformed those with post-hatched eggshells. Tensile testing revealed a significant enhancement in the tensile properties of all eggshell-filled composites in comparison to the unfilled ones. The composite variant filled with unhatched raw eggshell filler showcased the utmost tensile modulus and strength, with a notable 36% improvement in comparison with the unfilled variant. Similarly, flexural tests demonstrated a 53% increase in flexural strength for unhatched raw eggshell-filled composites over unfilled composites. SEM imaging confirmed these findings by showing crack arrests, deviations, particle distribution, and strong interfacial bonding in the eggshell-filled composites. Full article
(This article belongs to the Section Polymer Composites)
Show Figures

Figure 1

Figure 1
<p>Methodology.</p>
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<p>Eggshell filler processing.</p>
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<p>Ball milling.</p>
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<p>Tensile testing in UTM.</p>
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<p>Tensile test specimens of (<b>a</b>) unfilled, (<b>b</b>) unhatched raw eggshell-filled, (<b>c</b>) unhatched boiled eggshell-filled, (<b>d</b>) post-hatched eggshell-filled composite variants.</p>
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<p>Flexural strength testing in UTM.</p>
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<p>Flexural test specimens of (<b>a</b>) unfilled, (<b>b</b>) unhatched raw eggshell-filled, (<b>c</b>) unhatched boiled eggshell-filled, (<b>d</b>) post-hatched eggshell-filled composite variants.</p>
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<p>Comparison of tensile strengths.</p>
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<p>Comparison of tensile modulus.</p>
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<p>Comparison of tensile stress–strain variation.</p>
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<p>Comparison of flexural strength.</p>
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<p>Comparison of flexural modulus.</p>
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<p>Comparison of flexural stress–strain variation.</p>
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<p>SEM images of (<b>a</b>) unobstructed crack propagation in unfilled composite; (<b>b</b>) meagre interfacial bonding of fibre and matrix in unfilled composite; (<b>c</b>) superior interfacial bonding and crack deviation in unhatched raw eggshell-filled composite; (<b>d</b>) crack deviation in unhatched raw eggshell-filled composite; (<b>e</b>) superior interfacial bonding in boiled eggshell-filled composite; (<b>f</b>) crack deviation in boiled eggshell-filled composite; (<b>g</b>) crack deviation in post-hatched eggshell-filled composite; (<b>h</b>) crack deviation in post-hatched composites.</p>
Full article ">
26 pages, 62591 KiB  
Article
Thermal Bending Simulation and Experimental Study of 3D Ultra-Thin Glass Components for Smartwatches
by Shunchang Hu, Peiyan Sun, Zhen Zhang, Guojun Zhang and Wuyi Ming
Micromachines 2024, 15(10), 1264; https://doi.org/10.3390/mi15101264 - 17 Oct 2024
Viewed by 300
Abstract
The heating system is an essential component of the glass molding process. It is responsible for heating the glass to an appropriate temperature, allowing it to soften and be easily molded. However, the energy consumption of the heating system becomes particularly significant in [...] Read more.
The heating system is an essential component of the glass molding process. It is responsible for heating the glass to an appropriate temperature, allowing it to soften and be easily molded. However, the energy consumption of the heating system becomes particularly significant in large-scale production. This study utilized G-11 glass for the simulation analysis and developed a finite element model for the thermal conduction of a 3D ultra-thin glass molding system, as well as a thermal bending model for smartwatches. Using finite element software, the heat transfer between the mold and the glass was modeled, and the temperature distribution and thermal stress under various processing conditions were predicted. The findings of the simulation, when subjected to a numerical analysis, showed that heating rate techniques significantly affect energy consumption. This study devised a total of four heating strategies. Upon comparison, optimizing with heating strategy 4, which applies an initial heating rate of 35 mJ/(mm2·s) during the initial phase (0 to 60 s) and subsequently escalates to 45 mJ/(mm2·s) during the second phase (60 to 160 s), resulted in a reduction of 4.396% in the system’s thermal output and a notable decrease of 7.875% in the heating duration, respectively. Furthermore, a single-factor research method was employed to study the forming process parameters. By comparing the numerical simulation results, it was found that within the temperature range of 615–625 °C, a molding pressure of 25–35 MPa, a heating rate of 1.5–2.5 °C/s, a cooling rate of 0.5–1 °C/s, and a pulse pressure of 45–55 Hz, the influence on residual stress and shape deviation in the glass was minimal. The relative error range was within the 20% acceptable limit, according to the experimental validation, which offered crucial direction and ideas for process development. Full article
Show Figures

Figure 1

Figure 1
<p>Dimensions of the molds and the heat transfer model, (<b>a</b>) upper mold dimensions, (<b>b</b>) lower mold dimensions, (<b>c</b>) positional relationship of heat transfer model, (<b>d</b>) heat transfer model dimensions.</p>
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<p>Three-dimensional finite element meshing of the GMP heat transfer model.</p>
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<p>The energy consumption calculation process of the GMP system during heating.</p>
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<p>Temperature distribution of the mold during the heating stage (0.35 kW per heating tube; heating time: 0–160 s).</p>
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<p>Center temperatures of the upper and lower molds (0.35 kW per heating tube; heating time: 160 s).</p>
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<p>Energy consumption during the heating stage.</p>
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<p>Diagram of different heating rate strategies.</p>
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<p>Center temperatures of the molds under different heating strategies, (<b>a</b>) upper mold, (<b>b</b>) lower mold.</p>
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<p>Heat output of the heating tubes and heating device under different heating rate strategies.</p>
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<p>Boundary conditions at different stages of GMP.</p>
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<p>Temperature distribution of the ultra-thin glass component during heating and equilibration phases: (<b>a</b>) 0 s, (<b>b</b>) 50 s, (<b>c</b>) 100 s, (<b>d</b>) 200 s, (<b>e</b>) 250 s, (<b>f</b>) 300 s, (<b>g</b>) 300 s, (<b>h</b>) 400 s, (<b>i</b>) 430 s (setting parameters: heating rate = 1.5 °C/s, holding time = 80 s, forming temperature = 610 °C, forming pressure = 0.4 MPa, cooling rate = 1 °C/s).</p>
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<p>Simulation results of the first set of experiments (molding temperatures of 610 °C, 620 °C, and 630 °C, respectively).</p>
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<p>Simulation results of the first set of experiment I (molding temperature 610 °C), (<b>a</b>) temperature distribution, (<b>b</b>) residual stresses, (<b>c</b>) shape deviations.</p>
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<p>Simulation results of the first set of experiment II (molding temperature 620 °C), (<b>a</b>) temperature distribution, (<b>b</b>) residual stresses, (<b>c</b>) shape deviations.</p>
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<p>Simulation results of the first set of experiment III (molding temperature 630 °C), (<b>a</b>) temperature distribution, (<b>b</b>) residual stresses, (<b>c</b>) shape deviations.</p>
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<p>Simulation results of the second set of experiments (molding pressures of 25 MPa, 30 MPa, and 35 MPa, respectively).</p>
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<p>Maximum residual stresses from the simulation results of the second set of experiments (molding pressures of (<b>a</b>) 25 MPa, (<b>b</b>) 30 MPa, and (<b>c</b>) 35 MPa, respectively).</p>
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<p>Shape deviation of simulation results of the second set of experiments (molding pressures of (<b>a</b>) 25 MPa, (<b>b</b>) 30 MPa, and (<b>c</b>) 35 MPa, respectively).</p>
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<p>Simulation results of the third set of experiments (heating rates of 1.0 °C/s, 1.5 °C/s, and 2.0 °C/s, respectively).</p>
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<p>Maximum residual stresses from the simulation results of the third set of experiments (heating rates of (<b>a</b>) 1.0 °C/s, (<b>b</b>) 1.5 °C/s, and (<b>c</b>) 2.0 °C/s, respectively).</p>
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<p>Shape deviation of the simulation results of the third group of experiments (heating rates of (<b>a</b>) 1.0 °C/s, (<b>b</b>) 1.5 °C/s, and (<b>c</b>) 2.0 °C/s, respectively).</p>
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<p>Simulation results of the fourth set of experiments (cooling rates of 0.5 °C/s, 0.75 °C/s, and 1.0 °C/s, respectively).</p>
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<p>Maximum residual stresses from simulation results of the fourth set of experiments (cooling rates of (<b>a</b>) 0.5 °C/s, (<b>b</b>) 0.75 °C/s, and (<b>c</b>) 1.0 °C/s, respectively).</p>
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<p>Shape deviation of simulation results for the fourth set of experiments (cooling rates of (<b>a</b>) 0.5 °C/s, (<b>b</b>) 0.75 °C/s, and (<b>c</b>) 1.0 °C/s, respectively).</p>
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<p>Simulation results of the fifth set of experiments (pressure frequencies of 0 Hz, 30 Hz, and 50 Hz, respectively).</p>
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<p>Maximum residual stress from simulation results of the fifth group of experiments (pressure frequencies of (<b>a</b>) 0 Hz, (<b>b</b>) 30 Hz, and (<b>c</b>) 50 Hz, respectively).</p>
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<p>Shape deviation of the simulation results of the fifth group of experiments (pressure frequencies of (<b>a</b>) 0 Hz, (<b>b</b>) 30 Hz, and (<b>c</b>) 50 Hz, respectively).</p>
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<p>Three-dimensional ultra-thin glass thermal bending machine: (<b>a</b>) heating systems, (<b>b</b>) experimental.</p>
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24 pages, 6928 KiB  
Article
Adjustable PV Slats for Energy Efficiency and Comfort Improvement of a Radiantly Cooled Office Room in Tropical Climate
by Pipat Chaiwiwatworakul
Buildings 2024, 14(10), 3282; https://doi.org/10.3390/buildings14103282 - 17 Oct 2024
Viewed by 220
Abstract
This paper investigated an application of adjustable photovoltaic (PV) slats to improve the thermal performance of an exposed glazing window and sequentially enhance the energy efficiency and thermal comfort of an office room. Solar radiation and longwave heat gains from a window fitted [...] Read more.
This paper investigated an application of adjustable photovoltaic (PV) slats to improve the thermal performance of an exposed glazing window and sequentially enhance the energy efficiency and thermal comfort of an office room. Solar radiation and longwave heat gains from a window fitted with PV slats were measured through experiments conducted in an outdoor chamber cooled by a radiant ceiling system. The daylight level at the workplane was also measured inside the chamber. A transient thermal model was developed and validated against experimental data. Using the experimental chamber as a demonstration case, the model revealed that adjusting the slats monthly to fully block direct sunlight could reduce the electrical energy use by 67% compared to a typical office with heat reflective glass windows. However, the electricity generated by the PV slats contributed a minor portion of the overall energy savings. To assess the thermal comfort impact of the PV slats in the room with the radiant cooling, this study utilized radiation asymmetry criteria from ASHRAE Standard 55. Simulations showed that the PV slat-shaded glazing window resulted in a lower asymmetric plane radiant temperature than the unshaded window of heat reflective glass. The adjustable slat system reduced the risk of local discomfort for occupants working near the window in the radiantly cooled office room. Full article
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Figure 1

Figure 1
<p>The PV slat system.</p>
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<p>Solar radiation exchange of the PV slat system.</p>
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<p>The energy balance of the PV slat system.</p>
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<p>A heat balance model of the single pane glazed window.</p>
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<p>Experimental chamber.</p>
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<p>Measurement setup.</p>
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<p>The experimental results of the PV slats at 0°.</p>
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<p>The experimental results of the PV slats at 0°.</p>
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<p>The experimental results of the PV slats at 40°.</p>
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<p>The experimental results of the PV slats at 60°.</p>
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<p>Measurement of the solar power from the PV slats.</p>
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<p>The monthly PV slat adjustment scheme.</p>
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<p>Availability of daylight and solar radiation.</p>
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<p>Daylight from the window with the PV slats.</p>
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<p>Daylight from the heat reflective glass.</p>
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<p>Thermal gain from the window with slats.</p>
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<p>Thermal gain from the heat reflective glass.</p>
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<p>Comparison of local discomfort of radiation asymmetry.</p>
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25 pages, 3021 KiB  
Article
Use of Smart Glasses for Boosting Warehouse Efficiency: Implications for Change Management
by Markus Epe, Muhammad Azmat, Dewan Md Zahurul Islam and Rameez Khalid
Logistics 2024, 8(4), 106; https://doi.org/10.3390/logistics8040106 - 17 Oct 2024
Viewed by 285
Abstract
Background: Warehousing operations, crucial to logistics and supply chain management, often seek innovative technologies to boost efficiency and reduce costs. For instance, AR devices have shown the potential to significantly reduce operational costs by up to 20% in similar industries. Therefore, this paper [...] Read more.
Background: Warehousing operations, crucial to logistics and supply chain management, often seek innovative technologies to boost efficiency and reduce costs. For instance, AR devices have shown the potential to significantly reduce operational costs by up to 20% in similar industries. Therefore, this paper delves into the pivotal role of smart glasses in revolutionising warehouse effectiveness and efficiency, recognising their transformative potential. However, challenges such as employee resistance and health concerns highlight the need for a balanced trade-off between operational effectiveness and human acceptance. Methods: This study uses scenario and regression analyses to examine data from a German logistics service provider (LSP). Additionally, structured interviews with employees from various LSPs provide valuable insights into human acceptance. Results: The findings reveal that smart glasses convert dead time into value-added time, significantly enhancing the efficiency of order picking processes. Despite the economic benefits, including higher profits and competitive advantages, the lack of employee acceptance due to health concerns still needs to be addressed. Conclusions: After weighing the financial advantages against health impairments, the study recommends implementing smart glass technology in picking processes, given the current state of technical development. This study’s practical implications include guiding LSPs in technology adoption strategies, while theoretically, it adds to the body of knowledge on the human-technology interface in logistics. Full article
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<p>Order picking time overview [<a href="#B48-logistics-08-00106" class="html-bibr">48</a>].</p>
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<p>Test environment: comparison of pick-by-scan and pick-by-vision.</p>
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<p>Order-picking performance per employee (test environment).</p>
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<p>Simulation model—increasing efficiency through pick-by-vision.</p>
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<p>Acceptance of smart glasses—gender-wise preferences.</p>
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<p>Acceptance of smart glasses—gender-wise and age-wise preferences.</p>
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<p>Causes of the rejection of smart glasses.</p>
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<p>Order picking process.</p>
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19 pages, 486 KiB  
Article
Parents’ Knowledge and Attitudes Toward Pediatric Ophthalmic Disorders in Saudi Arabia: A Cross-Sectional Study
by Saja Radhi G. Alanazi, Haneen Wadi H. Alanazi, Wasan Ghathwan Alanazi, Nawal Surhuj Q. Alanazi, Dareen Owaid B. Alenezi, Maisa Al-Sweilem, Maram Hassan Alqattan, Iftikhar Lafi N. Alanazi, Jumanah Mohammed Tirksstani, Reem Saeed AlSarhan, Saleh Ghulaysi, Hanan A. Elgendy and Manal S. Fawzy
Pediatr. Rep. 2024, 16(4), 902-920; https://doi.org/10.3390/pediatric16040077 - 17 Oct 2024
Viewed by 218
Abstract
Recognizing pediatric eye health issues at an early stage, along with ensuring that parents are well informed, is crucial. This study measures parents’ knowledge and perspectives on pediatric ophthalmic disease. The study utilized a cross-sectional design, and participants included Saudi parents of children [...] Read more.
Recognizing pediatric eye health issues at an early stage, along with ensuring that parents are well informed, is crucial. This study measures parents’ knowledge and perspectives on pediatric ophthalmic disease. The study utilized a cross-sectional design, and participants included Saudi parents of children residing in Saudi Arabia. Data were collected using a pre-validated self-administered questionnaire with a scoring system. Sociodemographic characteristics and factors associated with knowledge/attitude were collected and analyzed. Initially, 425 respondents participated in this study. Excluding the participants whose work was related to healthcare and those with incomplete data yielded 370 responses on which the subsequent analyses were performed. The analysis revealed that only half of the parents recognized the need for annual eye examinations for children. Most of them showed gaps in knowledge regarding the frequency of routine eye exams and indicators of visual problems. Notably, parents with good/excellent knowledge were more proactive in their eye care practices, such as adherence to recommended eye examination schedules and accepting corrective measures like glasses for common conditions such as refractive errors and amblyopia. However, parental willingness to permit surgical interventions did not correlate significantly with their level of knowledge, signaling the influence of other factors. In conclusion, this study underscores the need for enhanced public health education to improve parental awareness of pediatric eye diseases in Saudi Arabia. Given the link between knowledge and proactive eye health practices, targeted interventions should distribute comprehensive, culturally sensitive information accessible to all demographics. Full article
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<p>The overall parents’ knowledge level of pediatric ophthalmic diseases. Data are presented as proportions (%).</p>
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13 pages, 2250 KiB  
Article
Absorption Measurement in Ultrapure Crystalline Quartz with the Eliminated Influence of Ambient Air Absorption in the Time-Resolved Photothermal Common-Path Interferometry Scheme
by Ksenia Vlasova, Alexandre Makarov and Nikolai Andreev
Appl. Sci. 2024, 14(20), 9474; https://doi.org/10.3390/app14209474 - 17 Oct 2024
Viewed by 264
Abstract
We demonstrate measurements of the absorption coefficient α ≈ 2.5 × 10−7 cm−1 in synthetic crystalline quartz at a wavelength of 1071 nm with a signal-to-noise ratio of 10/1 using the Time-resolved photothermal common-path interferometry (TPCI) scheme. It utilized cells filled [...] Read more.
We demonstrate measurements of the absorption coefficient α ≈ 2.5 × 10−7 cm−1 in synthetic crystalline quartz at a wavelength of 1071 nm with a signal-to-noise ratio of 10/1 using the Time-resolved photothermal common-path interferometry (TPCI) scheme. It utilized cells filled with flowing argon and eliminated the influence of ambient air absorption. The scheme elements limiting the sensitivity of measurements at the level of ≈7.8 × 10−8 cm−1 were revealed. When these elements are replaced by better ones in terms of their thermal influence, the sensitivity of absorption coefficient measurements in crystalline quartz is ~10−8 cm−1. The calculation of the correction due to these optical elements of the values of the measured absorption coefficients is also described, which makes it possible to achieve the same sensitivity without replacing the elements. The improved scheme confirms the presence of the spatial inhomogeneity of absorption with a minimum coefficient of 2.5 × 10−7 cm−1 in synthetic crystalline quartz. The discrepancy of the absorption coefficient values in different regions of the crystal in the presented series of experiments was 2.5 × 10−7 cm−1 to 4 × 10−6 cm−1. Taking into account the ratio of thermo-optical parameters and the heat diffusion effect, the calculation shows that for quartz glasses the corresponding sensitivity of the absorption coefficient measurements equals ≈1.5 × 10−9 cm−1. Full article
(This article belongs to the Special Issue Advances in Optical Instrument and Measurement Technology)
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<p>Time-resolved photothermal common-path interferometry (TPCI) electro-optical scheme (argon cells not shown).</p>
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<p>The part of the optical scheme modified in this paper consisting of cells with open ends into which argon of 99.99% purity was supplied. The dashed lines show the argon flows.</p>
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<p>Example of single (i.e., without averaging) waveforms of the time-varying component of the probe radiation power U(t), at a time interval of 0.1 s, obtained when argon was used as a sample at gas flow velocity below the threshold of turbulence (red) and above the threshold (blue).</p>
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<p>Scheme of arrangement of beam propagation direction (k<sub>h</sub>), heating beam polarization (E<sub>h</sub>) and crystallographic axes (C and a<sub>i</sub>) in the sample.</p>
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<p>The waveforms of the time-varying component of the probe radiation power U(t) in the experiments with argon and ambient air averaged over 10<sup>4</sup> realizations: (<b>a</b>) Waveforms obtained during the co-propagation of the heating and probe beams in argon (color) and the waveform due to the absorption of ambient air filling the entire space between the elements M<sub>2</sub> and M<sub>3</sub> (black). Different color curves correspond to five independent experiments; (<b>b</b>) The same waveforms with a 40-times scale increase along the ordinate axis (color) and the waveform due to the absorption of air with the amplitude reduced 40 times (black).</p>
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<p>Averaged over 10<sup>4</sup> realizations and over time (≈100 μs) waveforms of the time-varying component of the probe radiation power U(t) in experiments with argon and ambient air: (<b>a</b>) Waveforms obtained when the heating and probe beams were co-propagated in argon (color), and an waveform (amplitude reduced 40 times) due to ambient air absorption (black). Different color curves correspond to five independent experiments; (<b>b</b>) Arithmetic averages from five waveforms similar to (<b>a</b>), which were obtained in two independent experiments conducted on different days (color) and a waveform due to ambient air absorption (black). The amplitudes of the black curves are reduced 40 times.</p>
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<p>Averaged over 10<sup>4</sup> realizations waveforms of the time-varying component of the probe radiation power U(t) in experiments with synthetic crystalline quartz (different color curves correspond to different positions of the crystal under test and, accordingly, to its different spatial regions): (<b>a</b>) Waveforms obtained when the cells were filled with ambient air (black negative) and argon (black positive) and the crystal was in the same position, and waveforms obtained when the cells were filled with argon and the crystal position was varied perpendicular to the beam axis (color); rectangular function reflects the influence of electronic nonlinearity of the refractive index (black rectangular); (<b>b</b>) Waveforms shown in (<b>a</b>), obtained after subtracting the rectangular function from them; (<b>c</b>) Waveforms shown in (<b>b</b>), normalized to their maximum amplitude.</p>
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<p>Differences of waveforms of the time-varying component of the probe radiation power U(t) in experiments with synthetic crystalline quartz (different color curves in figures (<b>a</b>,<b>b</b>) correspond to different positions of the crystal under test and, accordingly, to its different spatial regions): (<b>a</b>) Differences of waveforms obtained at different positions of the sample with the waveform obtained at the position with minimal absorption (<a href="#applsci-14-09474-f007" class="html-fig">Figure 7</a>a, black positive curve); (<b>b</b>) The same waveforms normalized to their maximum amplitude; the light blue curve is used as a universal curve describing the time dependence of the absorption contribution of the crystal in U(t); (<b>c</b>) Characteristic curves, which are the difference between the curves of the corresponding color shown in <a href="#applsci-14-09474-f007" class="html-fig">Figure 7</a>b and the universal curve with the matched amplitude. The black curve is a piecewise linear approximation of the corresponding curves shown in <a href="#applsci-14-09474-f006" class="html-fig">Figure 6</a>b.</p>
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12 pages, 4877 KiB  
Article
Bubble Printing of Liquid Metal Colloidal Particles for Conductive Patterns
by Masaru Mukai, Tatsuya Kobayashi, Mitsuki Sato, Juri Asada, Kazuhide Ueno, Taichi Furukawa and Shoji Maruo
Nanomaterials 2024, 14(20), 1665; https://doi.org/10.3390/nano14201665 - 17 Oct 2024
Viewed by 249
Abstract
Bubble printing is a patterning method in which particles are accumulated by the convection of bubbles generated by laser focusing. It is attracting attention as a method that enables the high-speed, high-precision patterning of various micro/nanoparticles. Although the bubble printing method is used [...] Read more.
Bubble printing is a patterning method in which particles are accumulated by the convection of bubbles generated by laser focusing. It is attracting attention as a method that enables the high-speed, high-precision patterning of various micro/nanoparticles. Although the bubble printing method is used for metallic particles and organic particles, most reports have focused on the patterning of solid particles and not on the patterning of liquid particles. In this study, liquid metal wiring patterns were fabricated using a bubble printing method in which eutectic gallium‒indium alloy (EGaIn) colloidal particles (≈diameter 0.7 µm) were fixed on a glass substrate by generating microbubbles through heat generation by focusing a femtosecond laser beam on the EGaIn colloidal particles. The wiring was then made conductive by replacing gallium oxide, which served as a resistance layer on the surface of the EGaIn colloidal particles, with silver via galvanic replacement. Fine continuous lines of liquid metal colloids with a line width of 3.4 µm were drawn by reducing the laser power. Liquid metal wiring with a conductivity of ≈1.5 × 105 S/m was formed on a glass substrate. It was confirmed that the conductivity remained consistent even when the glass substrate was bent to a curvature of 0.02 m−1. Full article
(This article belongs to the Special Issue Laser-Based Nano Fabrication and Nano Lithography: Second Edition)
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<p>Working principle and optical system of bubble printing. (<b>a</b>) Working principle, (<b>b</b>) Schematic of the bubble printing system.</p>
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<p>EDX mapping analysis of EGaIn colloidal particles. (<b>a</b>) SEM image, (<b>b</b>) gallium mapping image, and (<b>c</b>) indium mapping image.</p>
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<p>Picture of (<b>a</b>) fabrication process in progress using the EGaIn colloidal particles, (<b>b</b>) SEM image and (<b>b</b>) EDX gallium mapping image of fabricated line and (<b>c</b>) EDX gallium mapping image of fabricated line.</p>
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<p>Examples of 2D pattern fabrication using EGaIn colloidal particles: (<b>a</b>) YNU, (<b>b</b>) dumbbell pattern and (<b>c</b>) high magnification SEM image of aggregated EGaIn colloidal particles.</p>
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<p>Illustration of the improved conductivity of a fabricated line using galvanic displacement.</p>
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<p>Photographs of the fabricated line after galvanic replacement at different concentrations of AgNO<sub>3</sub>: (<b>a</b>) 0.5 M and (<b>b</b>) 12.7 M. Immersion time: 24 h.</p>
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<p>Confirmation that the fabricated line functions as wiring from the lighting of the SMD LED. Immersed in 12.7 M AgNO<sub>3</sub> for 24 h.</p>
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<p>Dependence of the resistance on the curvature of the flexible wiring fabricated by the bubble printing of EGaIn colloidal particles and galvanic replacement. Immersed in 12.7 M AgNO<sub>3</sub> for 5 min.</p>
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<p>Relationship between the laser power and fabricating line width. The inset shows lines fabricated at 15 mW.</p>
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11 pages, 1298 KiB  
Article
The Contribution of Sustained Attention and Response Inhibition to Reading Comprehension Among Japanese Adolescents
by Inbar Lucia Trinczer, Yarden Dankner, Shira Frances-Israeli, Yoshi A. Okamoto, Dav Clark and Lilach Shalev
Children 2024, 11(10), 1245; https://doi.org/10.3390/children11101245 (registering DOI) - 16 Oct 2024
Viewed by 292
Abstract
Background: Previous studies demonstrated the influential role of sustained attention in the reading comprehension of alphabetic writing systems. However, there is limited understanding of how these cognitive functions contribute to reading comprehension in non-alphabetic systems, such as Japanese. This study seeks to explore [...] Read more.
Background: Previous studies demonstrated the influential role of sustained attention in the reading comprehension of alphabetic writing systems. However, there is limited understanding of how these cognitive functions contribute to reading comprehension in non-alphabetic systems, such as Japanese. This study seeks to explore this gap, focusing on how sustained attention and response inhibition function in a writing system where some of the characters represent meanings rather than sounds, introducing another layer of difficulty in the complex process of reading; Methods: Seventy-five Japanese 9th grade students performed a task to assess sustained attention and response inhibition. The cognitive test was carried out using tablets to enable feasible parallel group administration while maintaining high comparability with ecological classroom settings. Reading comprehension was measured using an exam that the participants took as part of their educational routine; Results: Our results indicate that both sustained attention and response inhibition significantly contributed to the reading comprehension of Japanese 9th grade students; Conclusions: These results replicate and expand previous studies documenting the contribution of sustained attention on the reading comprehension of alphabetic writing systems to a non-alphabetic system. Moreover, our findings unravel another important cognitive factor, namely response inhibition in reading comprehension. We suggest that response inhibition may play a crucial role in reading non-alphabetic writing systems that pose high cognitive demands, such as Japanese. Full article
(This article belongs to the Special Issue Cognitive and Linguistic Development in Children and Adolescents)
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<p>Boxplot of participants’ age in years.</p>
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<p>Schematic of the CCPT that was used to assess sustained attention and response inhibition.</p>
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<p>Raincloud plots comparison between genders: (<b>a</b>) CCPT—M-RT (ms); (<b>b</b>) CCPT—SD-RT (ms); (<b>c</b>) CCPT—Omission errors (rate); (<b>d</b>) CCPT—Commission errors (rate); (<b>e</b>) Reading comprehension score.</p>
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14 pages, 276 KiB  
Article
Influence of Ensiling Timing and Inoculation on Whole Plant Maize Silage Fermentation and Aerobic Stability (Preliminary Research)
by Jonas Jatkauskas, Vilma Vrotniakiene, Rafael Camargo do Amaral, Kristian Lybek Witt and Bruno leda Cappellozza
Plants 2024, 13(20), 2894; https://doi.org/10.3390/plants13202894 - 16 Oct 2024
Viewed by 300
Abstract
Despite efforts to prevent atypical ensiling conditions, such as delayed ensiling or sealing, these issues frequently occur in practice. This study aimed to investigate the effects of delayed ensiling (forage held for 24 h) and sealing, along with inoculation using a blend of [...] Read more.
Despite efforts to prevent atypical ensiling conditions, such as delayed ensiling or sealing, these issues frequently occur in practice. This study aimed to investigate the effects of delayed ensiling (forage held for 24 h) and sealing, along with inoculation using a blend of Lentilactobacillus buchneri and Lactococcus lactis, on the characteristics of the resulting silages. Whole-plant maize (Zea mays L.) was treated with or without a commercial inoculant and ensiled (36% dry matter) for 60 days in 3.0 L glass containers. The forage was either ensiled immediately or subjected to a 24 h delay before ensiling. During the delay, the forage was either covered or left uncovered. Each treatment was replicated five times. All data were analyzed using the MIXED procedure of SAS statistical software (version 9.4; SAS Institute Inc., Cary, NC, USA). Delaying the ensiling process by 24 h worsens fermentation parameters, significantly increases dry matter (DM) losses (p < 0.01), and significantly reduces aerobic stability and the hygienic quality of the silage (p < 0.01), as evidenced by higher concentrations of undesirable fermentation products and elevated yeast and mold counts. The inoculation has a significant impact on both forage before ensiling and the characteristics of the resulting silage. Maize forage treated with inoculant showed a lower temperature increase by 8.2–8.1 °C (p < 0.01) when delayed for 24 h before ensiling. In silages, it also resulted in a reduced pH (p < 0.01); increased concentrations of lactic acid; acetic acid; and 1,2-propanediol (p < 0.01); and decreased levels of negative fermentation indicators such as ammonia-N, alcohols, and butyric acid (p < 0.01) During both the fermentation and aerobic exposure periods, inoculated silages exhibited up to 36% and 2.6 times lower (p < 0.01) dry matter loss, while suppressing the growth of yeasts and molds by up to 2.6 and 3.1 times (p < 0.01), respectively, compared to non-inoculated silages. The results of this study support the recommendation to minimize the duration of aerobic exposure of fresh forage during silo filling and to use LAB-based inoculants. Full article
(This article belongs to the Special Issue Sustainability in Silage Production)
15 pages, 5094 KiB  
Article
Effect of Star-like Polymer on Mechanical Properties of Novel Basalt Fibre-Reinforced Composite with Bio-Based Matrix
by Rochele Pinto, Tatjana Glaskova-Kuzmina, Kristina Zukiene, Gediminas Monastyreckis, Marie Novakova, Vladimir Spacek, Andrejs Kovalovs, Andrey Aniskevich and Daiva Zeleniakiene
Polymers 2024, 16(20), 2909; https://doi.org/10.3390/polym16202909 (registering DOI) - 16 Oct 2024
Viewed by 336
Abstract
This study is aimed at developing a fibre-reinforced polymer composite with a high bio-based content and to investigate its mechanical properties. A novel basalt fibre-reinforced polymer (BFRP) composite with bio-based matrix modified with different contents of star-like n-butyl methacrylate (n-BMA) block [...] Read more.
This study is aimed at developing a fibre-reinforced polymer composite with a high bio-based content and to investigate its mechanical properties. A novel basalt fibre-reinforced polymer (BFRP) composite with bio-based matrix modified with different contents of star-like n-butyl methacrylate (n-BMA) block glycidyl methacrylate (GMA) copolymer has been developed. n-BMA blocks have flexible butyl units, while the epoxide group of GMA makes it miscible with the epoxy resin and is involved in the crosslinking network. The effect of the star-like polymer on the rheological behaviour of the epoxy was studied. The viscosity of the epoxy increased with increase in star-like polymer content. Tensile tests showed no noteworthy influence of star-like polymer on tensile properties. The addition of 0.5 wt.% star-like polymer increased the glass transition temperature by 8.2 °C. Mode-I interlaminar fracture toughness and low-velocity impact tests were performed on star-like polymer-modified BFRP laminates, where interfacial adhesion and impact energy capabilities were observed. Interlaminar fracture toughness improved by 45% and energy absorption capability increased threefold for BFRP laminates modified with 1 wt.% of star-like polymer when compared to unmodified BFRP laminates. This improvement could be attributed to the increase in ductility of the matrix on the addition of the star-like polymer, increasing resistance to impact and damage. Furthermore, scanning electron microscopy confirmed that with increase in star-like polymer content, the interfacial adhesion between the matrix and fibres improves. Full article
(This article belongs to the Special Issue Mechanical Properties of 3D Printed Polymer Composites)
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<p>Chemical structures of: (<b>a</b>) DGEBA; (<b>b</b>) phenalkamine; (<b>c</b>) BMA and GMA; and (<b>d</b>) EGDMA.</p>
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<p>Star-like polymer structure: (<b>a</b>) chemical structure of star-like polymer arms; and (<b>b</b>) schematic diagram for star-like polymer structure.</p>
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<p>Schematic representation of possible hydrogen bonding interaction between epoxy and <span class="html-italic">n</span>-BMA block GMA copolymer.</p>
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<p>Materials’ and specimens’ preparation process.</p>
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<p>Image of interface depicting delamination initiation and SEM-analysed area.</p>
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<p>Dependency of viscosity on star-like polymer content.</p>
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<p>Tensile test results: (<b>a</b>) stress-strain curves; (<b>b</b>) tensile strength and modulus of the bio-based matrix with different contents of star-like polymer.</p>
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<p>DMA results: (<b>a</b>) storage modulus; (<b>b</b>) loss modulus; (<b>c</b>) damping factor; (<b>d</b>) glass transition temperatures of the bio-based matrix with different contents of star-like polymer.</p>
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<p>Mode-I interlaminar fracture toughness test results: (<b>a</b>) load-COD curves; (<b>b</b>) critical energy release rates for different contents of star-like polymer.</p>
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<p>Low-velocity impact tests: (<b>a</b>) contact-force vs. deflection; (<b>b</b>) absorbed energy of BFRP modified with different contents of star-like polymer.</p>
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<p>Images of specimens post-impact: (<b>a</b>) neat epoxy; (<b>b</b>) 0.5 wt.%; (<b>c</b>) 1 wt.% of star-like polymer.</p>
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<p>Damage morphology of fractured specimens at different magnifications: (<b>a</b>–<b>c</b>) at 1000×; (<b>d</b>–<b>f</b>) 500×; (<b>g</b>–<b>i</b>) 100× for different contents of star-like polymer.</p>
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24 pages, 26404 KiB  
Article
Effects of Different Surface Treatment Methods on Laser Welding of Aluminum Alloy and Glass
by Changjun Chen, Lei Li, Min Zhang and Wei Zhang
Coatings 2024, 14(10), 1318; https://doi.org/10.3390/coatings14101318 (registering DOI) - 15 Oct 2024
Viewed by 378
Abstract
Hermetic glass-to-metal sealing (GMTS) technology combines metal and glass and can be used to construct vacuum tubes; electric discharge tubes; semiconductor diodes; reed switches; and pressure-tight glass-to-metal windows, optical windows, and lenses in electronics or electronic systems. The hermetic and mechanically strong seals [...] Read more.
Hermetic glass-to-metal sealing (GMTS) technology combines metal and glass and can be used to construct vacuum tubes; electric discharge tubes; semiconductor diodes; reed switches; and pressure-tight glass-to-metal windows, optical windows, and lenses in electronics or electronic systems. The hermetic and mechanically strong seals engineered using GTMS are highly reliable, making them suitable for deployment in harsh environments and for applications requiring high performance. However, it has always been challenging to precisely and robustly join glass and metal due to the significant disparities in their properties. In this study, the laser transmission welding of borosilicate glass and aluminum alloy using a pulsed Nd:YAG laser to achieve hermetic glass–metal seals was experimentally investigated. This research focused on various processing parameters and the influence of surface conditions on bonding quality. Three different types of surfaces—a polished surface, a surface subjected to preoxidation, and a laser-modified surface—were compared. To evaluate the weld strength, shear-tensile separation forces were measured. The analysis of fracture and separation encompassed detailed examinations of the weld morphology, microstructure, and elemental composition. The results revealed that increasing the laser welding energy initially enhanced the weld strength until a saturation point was reached. Among the three different surface treatments tested, the laser surface modification of aluminum alloy yielded the highest weld strength. The maximum achieved bond force exceeded 35.38 N, demonstrating the feasibility of using cost-effective pulsed laser welding for glass-to-metal sealing. The results were significantly better than those from previous research in which aluminum alloy surfaces were pretreated using microarc oxidation. Full article
(This article belongs to the Special Issue Laser-Assisted Processes and Thermal Treatments of Materials)
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<p>Welding schematic diagram for the laser welding glass to aluminum alloy (<b>left picture</b>); shear force test diagram (<b>right picture</b>).</p>
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<p>Macroscopic morphology of aluminum alloy after furnace oxidation at different temperatures: (<b>a</b>) not oxidized; (<b>b</b>) 450 °C; (<b>c</b>) 500 °C; (<b>d</b>) 600 °C.</p>
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<p>Trend of absorbance on aluminum alloy surface when different high-temperature oxidation parameters are used.</p>
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<p>High-temperature oxidation cross-section, surface morphology, and EDS results: (<b>a</b>,<b>a1</b>) no high-temperature oxidation was performed; (<b>b</b>,<b>b1</b>) after high-temperature oxidation; (<b>a</b>,<b>b</b>) cross-section; (<b>a1</b>,<b>b1</b>).</p>
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<p>High-temperature oxidation cross-section, surface morphology, and EDS results: (<b>a</b>,<b>a1</b>) no high-temperature oxidation was performed; (<b>b</b>,<b>b1</b>) after high-temperature oxidation; (<b>a</b>,<b>b</b>) cross-section; (<b>a1</b>,<b>b1</b>).</p>
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<p>Morphology of welded fracture after thermal oxidation: (<b>a</b>) aluminum alloy side; (<b>b</b>) glass side.</p>
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<p>Morphology of welded fracture after thermal oxidation: (<b>a</b>) aluminum alloy side; (<b>b</b>) glass side.</p>
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<p>EDS spot scan spectrum of high-temperature oxidized aluminum alloy and glass weld fracture: (<b>a</b>) aluminum alloy side; (<b>b</b>) glass side.</p>
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<p>Schematic diagram of welding after thermal oxidation.</p>
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<p>Three-dimensional scanning of alloy surface after grinding with different mesh sandpaper ((<b>a</b>): 180; (<b>b</b>): 600; (<b>c</b>): 1000; (<b>d</b>): 2000).</p>
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<p>Schematic material exchange diagram.</p>
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<p>Schematic diagram for the welding of the samples polished with 180-mesh sandpaper.</p>
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<p>Fracture morphology after shear test for the samples polished using different mesh sandpaper. ((<b>a</b>): 180 mesh; (<b>b</b>): 600 mesh; (<b>c</b>): 1000 mesh).</p>
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<p>Fracture morphology after shear test for the samples polished using different mesh sandpaper. ((<b>a</b>): 180 mesh; (<b>b</b>): 600 mesh; (<b>c</b>): 1000 mesh).</p>
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<p>Fracture observed using three-dimensional scanning for different mesh sandpaper. ((<b>a</b>): 180; (<b>b</b>): 600; (<b>c</b>): 1000).</p>
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<p>Schematic diagram of the laser scan track.</p>
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<p>Aluminum alloy substrate surface melted with different laser powers ((<b>a</b>): 150 W; (<b>b</b>): 200 W; (<b>c</b>): 250 W; (<b>d</b>): 300 W).</p>
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<p>Three-dimensional morphology of samples treated with different laser powers. (<b>a</b>): untreated; (<b>b</b>): 150 W; (<b>c</b>): 200 W; (<b>d</b>): 250 W; (<b>e</b>): 300 W).</p>
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<p>Cross-section of aluminum alloy’s microstructure after laser treatment and EDS results.</p>
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<p>Surface SEM image of aluminum alloy’s microstructure after laser treatment and EDS results.</p>
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<p>Shear force test results with different laser powers.</p>
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<p>Fracture EDS images of samples subjected to different laser pretreatment powers. (<b>left</b>: metal side; <b>right</b>: glass side; (<b>a</b>): 150 W; (<b>b</b>): 200 W; (<b>c</b>): 250 W; (<b>d</b>): 300 W).</p>
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<p>Fracture EDS images of samples subjected to different laser pretreatment powers. (<b>left</b>: metal side; <b>right</b>: glass side; (<b>a</b>): 150 W; (<b>b</b>): 200 W; (<b>c</b>): 250 W; (<b>d</b>): 300 W).</p>
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<p>Fracture EDS images of samples subjected to different laser pretreatment powers. (<b>left</b>: metal side; <b>right</b>: glass side; (<b>a</b>): 150 W; (<b>b</b>): 200 W; (<b>c</b>): 250 W; (<b>d</b>): 300 W).</p>
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<p>Fracture EDS images of samples subjected to different laser pretreatment powers. (<b>left</b>: metal side; <b>right</b>: glass side; (<b>a</b>): 150 W; (<b>b</b>): 200 W; (<b>c</b>): 250 W; (<b>d</b>): 300 W).</p>
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<p>The weld cross-sections of the samples subjected to different laser pretreatment powers and EDS map analysis results ((<b>a</b>): 150 W; (<b>b</b>): 200 W; (<b>c</b>): 250 W; (<b>d</b>): 300 W).</p>
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<p>The weld cross-sections of the samples subjected to different laser pretreatment powers and EDS map analysis results ((<b>a</b>): 150 W; (<b>b</b>): 200 W; (<b>c</b>): 250 W; (<b>d</b>): 300 W).</p>
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<p>Surface morphology of aluminum alloy following different surface treatments: (<b>a</b>) not processed; (<b>b</b>) laser surface treatment; (<b>c</b>) thermal oxidation at 500 °C for 6 h; (<b>d</b>) 180-mesh sandpaper sanding.</p>
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<p>Trend of absorbance of aluminum alloy surface following different surface treatments.</p>
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<p>Temperature-dependent <sup>18</sup>O, <sup>30</sup>Si and <sup>26</sup>Al diffusion in 2/1-mullite single crystals parallel to the b ([0 1 0]) and c ([0 0 1]) axes. Note that the atomic diffusion of species is isotropic with respect to the mullite crystal structure. <span class="html-italic">T</span>, temperature; <span class="html-italic">D</span>, diffusion coefficients ([<a href="#B28-coatings-14-01318" class="html-bibr">28</a>,<a href="#B29-coatings-14-01318" class="html-bibr">29</a>,<a href="#B30-coatings-14-01318" class="html-bibr">30</a>,<a href="#B31-coatings-14-01318" class="html-bibr">31</a>]). (Oxygen has three types of isotope, i.e., <sup>17</sup>O, <sup>18</sup>O, <sup>16</sup>O; Silicon also has three types of isotope, <sup>28</sup>Si, <sup>29</sup>Si, <sup>30</sup>Si. And aluminium has a total of 24 types of isotope. Then, here <sup>18</sup>O, <sup>30</sup>Si and <sup>26</sup>Al mean that the elements of isotope are selected in this experiment).</p>
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<p>Comparison of the test results for the surface roughness and shear forces of the specimens after welding with different pretreatment methods.</p>
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11 pages, 4909 KiB  
Communication
A Kernel-Based Calibration Algorithm for Chromatic Confocal Line Sensors
by Ming Qin, Xiao Xiong, Enqiao Xiao, Min Xia, Yimeng Gao, Hucheng Xie, Hui Luo and Wenhao Zhao
Sensors 2024, 24(20), 6649; https://doi.org/10.3390/s24206649 - 15 Oct 2024
Viewed by 349
Abstract
In chromatic confocal line sensors, calibration is usually divided into peak extraction and wavelength calibration. In previous research, the focus was mainly on peak extraction. In this paper, a kernel-based algorithm is proposed to deal with wavelength calibration, which corresponds to the mapping [...] Read more.
In chromatic confocal line sensors, calibration is usually divided into peak extraction and wavelength calibration. In previous research, the focus was mainly on peak extraction. In this paper, a kernel-based algorithm is proposed to deal with wavelength calibration, which corresponds to the mapping relationship between peaks (i.e., the wavelengths) in image space and profiles in physical space. The primary component of the mapping function is depicted using polynomial basis functions, which are distinguished along various dispersion axes. Considering the unknown distortions resulting from field curvature, sensor fabrication and assembly, and even the inherent complexity of dispersion, a typical kernel trick-based nonparametric function element is introduced here, predicated on the notion that similar processes conducted on the same sensor yield comparable distortions.To ascertain the performance with and without the kernel trick, we carried out wavelength calibration and groove fitting on a standard groove sample processed via glass grinding and with a reference depth of 66.14 μm. The experimental results show that depths calculated by the kernel-based calibration algorithm have higher accuracy and lower uncertainty than those ascertained using the conventional polynomial algorithm. As such, this indicates that the proposed algorithm provides effective improvements. Full article
(This article belongs to the Section Optical Sensors)
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Figure 1

Figure 1
<p>Coordinate systems in image and physical spaces. Peaks and profiles are distributed in image and physical spaces, respectively.</p>
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<p>Measurement case in which a standard groove sample is fixed on a sliding platform, which is capable of translation in the <span class="html-italic">Z</span> direction.</p>
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<p>A raw image of a standard groove sample from the LSCF1000 and the corresponding peak extraction result using the centroid method. (<b>a</b>) A raw image of a standard groove sample. (<b>b</b>) Peak extraction on the raw image.</p>
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<p>A raw image of a standard groove sample from the LSCF1000 and the corresponding peak extraction result using the centroid method. (<b>a</b>) A raw image of a standard groove sample. (<b>b</b>) Peak extraction on the raw image.</p>
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<p>Data collection for transformation in the <span class="html-italic">Z</span> direction. The standard flat mirror parallel to the <math display="inline"><semantics> <mrow> <mi>X</mi> <mi>Y</mi> </mrow> </semantics></math> plane is fixed on a sliding platform capable of translation in the <span class="html-italic">Z</span> direction. The wavelength <math display="inline"><semantics> <mi>λ</mi> </semantics></math> on the <math display="inline"><semantics> <mi>ϕ</mi> </semantics></math>-th column refers to the peak extracted from the image space, and the corresponding displacement <math display="inline"><semantics> <mover accent="true"> <mi>z</mi> <mo>¯</mo> </mover> </semantics></math> is obtained from the sliding platform.</p>
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<p>Data collection for transformation in the <span class="html-italic">X</span> direction. The standard flat mirror is fixed on a rotation device. The <span class="html-italic">X</span>-tilt angle <math display="inline"><semantics> <mi>θ</mi> </semantics></math> of the standard flat mirror is obtained from the rotation device, and the corresponding slope <span class="html-italic">k</span> is calculated after transformation in the <span class="html-italic">Z</span> direction.</p>
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<p>An example of groove depth calculation, which can be divided into two sequential subprocesses: (<b>a</b>) wavelength calibration and (<b>b</b>) groove fitting. The groove depth computed from the profile is about 66.24 μm.</p>
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<p>An example of groove depth calculation, which can be divided into two sequential subprocesses: (<b>a</b>) wavelength calibration and (<b>b</b>) groove fitting. The groove depth computed from the profile is about 66.24 μm.</p>
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<p>An ideal groove sample in physical space. The upper and lower boundaries coincide with two parallel straight dashed lines, the normal vector of which is <math display="inline"><semantics> <msup> <mi>W</mi> <mo>′</mo> </msup> </semantics></math>.</p>
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<p>Comparison of deviation from true depth between polynomial and kernel-based algorithms.</p>
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29 pages, 25174 KiB  
Article
Effect of Bed Material on Roughness and Hydraulic Potential in Filyos River
by Berna Aksoy, Melisa Öztürk and İsmail Hakkı Özölçer
Water 2024, 16(20), 2934; https://doi.org/10.3390/w16202934 (registering DOI) - 15 Oct 2024
Viewed by 299
Abstract
Seasonal changes, sea level rise, and global warming make flood events more frequent, which necessitates watershed management and efficient use of water resources. In this context, understanding the hydrodynamic behavior of basins is critical for the development of flood prevention strategies. The contributions [...] Read more.
Seasonal changes, sea level rise, and global warming make flood events more frequent, which necessitates watershed management and efficient use of water resources. In this context, understanding the hydrodynamic behavior of basins is critical for the development of flood prevention strategies. The contributions of hydrological and hydraulic modeling techniques in this process are among the key determinants of sustainable water resources management. The Filyos Sub-Basin, located in the Western Black Sea Basin, stands out as one of the regions where flood risk assessment is a priority, as it has two important floodplains. This study aims to analyze the flood risk in the Filyos River Sub-Basin with hydraulic modeling methods, and to determine the Manning roughness coefficient. In the study, the parameters affecting the roughness of the river bed were analyzed using the Cowan method, and the effects of vegetation on river bed resistance were evaluated in the laboratory environment. Flood simulations were carried out for four different flow rates (Q1000, Q500, Q100 and Q50) using the HEC-RAS model, and the performance of flood protection structures were analyzed. The findings show that a significant portion of the existing protection structures are unable to meet the potential flood flows, which can cause serious damage to residential and agricultural areas. In basins with limited historical discharge data, such as the Filyos River, these findings provide important contributions to sustainable water resources management and regional planning processes. The results of the study serve as a reference for flood risk assessment, not only for the Filyos River Basin, but also for other basins with similar hydrodynamic characteristics. It is envisaged that future research, supported by larger data sets, can improve the accuracy of flood simulations. Furthermore, the Cowan method and HEC-RAS model used in this study are expected to contribute to strategic planning and engineering solutions to minimize flood risk in other watershed management projects. In future studies, we plan to further develop methodological approaches for determining the roughness coefficient, and to address applications to increase the effectiveness of flood protection structures. Full article
(This article belongs to the Section Hydraulics and Hydrodynamics)
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<p>Location of the study area: (<b>a</b>) Western Black Sea Basin, (<b>b</b>) Filyos River Basin, (<b>c</b>) Filyos River.</p>
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<p>The flowchart of the study.</p>
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<p>Satellite image of observation regions in the Filyos River [<a href="#B31-water-16-02934" class="html-bibr">31</a>].</p>
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<p>The comparison of output variables regarding flow rate at Q<sub>1000</sub> for section 68851.</p>
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<p>Flood spread at section 68851.</p>
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<p>The comparison of output variables regarding flow rate at Q<sub>1000</sub> section 63692.</p>
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<p>Flood spread at section 63692.</p>
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<p>The comparison of output variables regarding flow rate at Q<sub>1000</sub> section 64855.</p>
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<p>Flood spread at section 64855.</p>
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<p>The comparison of output variables regarding flow rate at Q<sub>1000</sub> section 10482.</p>
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<p>Flood spread at section 10482.</p>
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<p>The comparison of output variables regarding flow rate at Q<sub>500</sub> section 68851.</p>
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<p>Flood spread at section 68851.</p>
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<p>The comparison of output variables regarding flow rate at Q<sub>500</sub> section 63692.</p>
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<p>Flood spread at section 63692.</p>
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<p>The comparison of output variables regarding flow rate at 10482.</p>
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<p>Flood spread at section 10482.</p>
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<p>The comparison of output variables regarding flow rate at Q<sub>500</sub> section 64855.</p>
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<p>Flood spread at section 64855.</p>
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<p>The comparison of output variables regarding flow rate at Q<sub>100</sub> section 64855.</p>
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<p>Flood spread at section 64855.</p>
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<p>The comparison of output variables regarding flow rate at Q<sub>100</sub> section 10482.</p>
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<p>Flood spread at section 10482.</p>
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<p>The comparison of output variables regarding flow rate at Q<sub>100</sub> section 68851.</p>
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<p>Flood spread at section 68851.</p>
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<p>The comparison of output variables regarding flow rate at Q<sub>100</sub> section 63692.</p>
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<p>Flood spread at section 63692.</p>
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<p>The comparison of output variables regarding flow rate at Q<sub>50</sub> section 68851.</p>
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<p>Flood spread at section 68851.</p>
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<p>The comparison of output variables regarding flow rate at Q<sub>50</sub> section 64855.</p>
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<p>Flood spread at section 64855.</p>
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<p>The comparison of output variables regarding flow rate at Q<sub>50</sub> section 63692.</p>
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<p>Flood spread at section 63692.</p>
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<p>The comparison of output variables regarding flow rate at Q<sub>50</sub> section 10482.</p>
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<p>Flood spread at section 10482.</p>
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<p>Images from the July 2023 floods: Saltukova (<b>A</b>) and Saltukova bridge looking upstream (<b>B</b>), Çaycuma (<b>C</b>) and Saltukova Airport (<b>D</b>), and Saltukova Airport upstream (<b>E</b>) and Saltukova Airport downstream (<b>F</b>).</p>
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