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Search Results (2,374)

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Keywords = residual strength

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19 pages, 1285 KiB  
Article
Boosting Flame Retardancy of Polypropylene/Calcium Carbonate Composites with Inorganic Flame Retardants
by Antonio Benjamim Mapossa, Erick Gabriel Ribeiro dos Anjos and Uttandaraman Sundararaj
Materials 2024, 17(18), 4553; https://doi.org/10.3390/ma17184553 - 16 Sep 2024
Abstract
This study investigates the effects of inorganic flame retardants, zinc borate, and magnesium hydroxide, on the thermal, morphological, flame retardancy, and mechanical properties of polypropylene (PP)/calcium carbonate composites for potential construction industry applications. Polypropylene/calcium carbonate (50 wt.%) composites containing 5 and 10 wt.% [...] Read more.
This study investigates the effects of inorganic flame retardants, zinc borate, and magnesium hydroxide, on the thermal, morphological, flame retardancy, and mechanical properties of polypropylene (PP)/calcium carbonate composites for potential construction industry applications. Polypropylene/calcium carbonate (50 wt.%) composites containing 5 and 10 wt.% flame retardants were prepared using a batch mixer, followed by compression moulding. The results demonstrated enhanced thermal stability, with the highest char residue reaching 47.2% for polypropylene/calcium carbonate/zinc borate (10 wt.%)/magnesium hydroxide (10 wt.%) composite, a notably strong outcome. Additionally, the composite exhibited an elevated limited oxygen index (LOI) of 29.4%, indicating a synergistic effect between zinc borate and magnesium hydroxide. The proposed flame retardancy mechanism suggests that the flammability performance is driven by the interaction between the flame retardants within the polypropylene/calcium carbonate matrix. Magnesium hydroxide contributes to smoke suppression by releasing water, while zinc borate forms a protective glassy foam that covers the burning surface, promoting char formation and acting as a physical barrier to heat transmission and fire spread. Scanning electron microscopy confirmed good dispersion of the additives alongside calcium carbonate within the polymer matrix. Despite the addition of up to 10 wt.% flame retardants, the composites maintained high-notched impact strength. Full article
(This article belongs to the Special Issue Design and Development of Flame-Retardant Polymer Materials)
17 pages, 6795 KiB  
Article
Experimental and Modeling Analysis of Polypropylene Fiber Reinforced Concrete Subjected to Alkali Attack and Freeze–Thaw Cycling Effect
by Yuxiang Huang, Yongcheng Ji, Jingchen Wang, Zihao Wang, Bosong Yu and Siyu Zhang
Materials 2024, 17(18), 4529; https://doi.org/10.3390/ma17184529 - 14 Sep 2024
Viewed by 439
Abstract
The durability of concrete materials in harsh environmental conditions, particularly in cold regions, has garnered significant attention in civil engineering research in recent years. Concrete structures in these areas are often damaged by the combined effects of alkali–silica reaction (ASR) and freeze–thaw cycles, [...] Read more.
The durability of concrete materials in harsh environmental conditions, particularly in cold regions, has garnered significant attention in civil engineering research in recent years. Concrete structures in these areas are often damaged by the combined effects of alkali–silica reaction (ASR) and freeze–thaw cycles, leading to structural cracks and significant safety hazards. Numerous studies have demonstrated that polypropylene fiber concrete exhibits excellent crack resistance and durability, making it promising for applications in cold regions. This study elucidates the impact of alkali content on concrete durability by comparing the mechanical properties and durability of different alkali–aggregate concretes. The principal experimental methodologies employed include freeze–thaw cycle experiments, which examine patterns of mass loss; fluctuations in the dynamic modulus of elasticity; and changes in mechanical properties before and after freeze cycles. The findings indicate that increased alkali content in concrete reduces its strength and durability. At 100% alkali–aggregate content, compressive strength decreases by 35.5%, flexural strength by 32.9%, mass loss increases by 35.85%, relative dynamic elastic modulus by 39.4%, and residual strength by 97.28%, indicating higher alkali content leads to diminished durability. Additionally, this paper introduces a constitutive damage model, validated by a strong correlation with experimental stress–strain curves, to effectively depict the stress–strain relationship of concrete under varying alkali contents. This research contributes to a broader understanding of concrete durability in cold climates and guides the selection of materials for sustainable construction in such environments. Full article
(This article belongs to the Section Construction and Building Materials)
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Figure 1
<p>Aggregate used in the experiment: (<b>a</b>) crushed stone; (<b>b</b>) recycled concrete; (<b>c</b>) basalt; (<b>d</b>) granite.</p>
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<p>Gel precipitation of (<b>a</b>) C100, (<b>b</b>) R100, (<b>c</b>) B100, and (<b>d</b>) G100 (ordered from <b>left</b> to <b>right</b>) after soaking in 0.1 mol/L NaOH solution.</p>
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<p>Particle size distribution curve of aggregate.</p>
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<p>Parallel bar system.</p>
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<p>Uniaxial stress–strain curve of recycled concrete.</p>
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<p>The relationship between parameters and alkali–aggregate content r: (<b>a</b>) variation of parameter a with alkali aggregate; (<b>b</b>) variation of parameter b with alkali aggregate; (<b>c</b>) variation of E with r alkali aggregate.</p>
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<p>Test curve and theoretical calculation curve: (<b>a</b>) The fitting curve and C100 test curve; (<b>b</b>) The fitting curve and R30 test curve; (<b>c</b>) The fitting curve and R60 test curve; (<b>d</b>) The fitting curve and R100 test curve.</p>
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<p>Concrete compressive and flexural strength of each group.</p>
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<p>The mass loss rate of concrete: (<b>a</b>) mass loss rate of R group; (<b>b</b>) mass loss rate of B group; (<b>c</b>) mass loss rate of G group.</p>
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<p>Relative dynamic elastic modulus loss rate of concrete: (<b>a</b>) relative dynamic elastic modulus loss rate of R group; (<b>b</b>) relative dynamic elastic modulus loss rate of B group; (<b>c</b>) relative dynamic elastic modulus loss rate of G group.</p>
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<p>The strength loss rate of concrete: (<b>a</b>) strength loss rate of the R group; (<b>b</b>) strength loss rate of the B group; (<b>c</b>) strength loss rate of the G group.</p>
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<p>Flexural strength loss rate prediction curve at different freeze–cycle times.</p>
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12 pages, 1810 KiB  
Case Report
Apparent Influence of Anhydrite in High-Calcium Fly Ash on Compressive Strength of Concrete
by Dinil Pushpalal and Hiroo Kashima
Buildings 2024, 14(9), 2899; https://doi.org/10.3390/buildings14092899 - 13 Sep 2024
Viewed by 357
Abstract
This case study investigates five fly ashes with high CaO and SO3 levels in their chemical composition and compares the apparent influence of the presence and absence of anhydrite on compressive strength. Another distinguishing feature of the above ashes is that they, [...] Read more.
This case study investigates five fly ashes with high CaO and SO3 levels in their chemical composition and compares the apparent influence of the presence and absence of anhydrite on compressive strength. Another distinguishing feature of the above ashes is that they, more or less, naturally contain anhydrite. Two different series of mixed proportions were adopted. Series 1 is designed to understand the maximum possible replacement level of fly ash. Series 2 is designed to understand the effect of anhydrite on compressive strength development. The mineral composition and glass phase of fly ashes were determined by X-ray diffraction Rietveld analysis. As a result of this study, we have found that concrete containing anhydrite-rich fly ash exhibits a higher strength than concrete containing anhydrite-free fly ash at all ages. The compressive strength increases with an increasing fly ash replacement ratio when anhydrite-rich ash is used, but strength decreases when the replacement level exceeds a certain point. The optimal amount of anhydrite was 2 ± 0.5 kg/m3 of concrete, excluding the anhydrite contained in cement. Full article
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<p>(<b>A</b>) X-ray diffraction pattern of fly ash FA-0. (<b>B</b>) X-ray diffraction patterns of fly ashes FA-1, FA-2, FA-3, and FA-4.</p>
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<p>The relationship between CaO content and insoluble residue.</p>
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<p>Compressive strength vs. age for control concrete and FA-0-incorporated fly ash concretes.</p>
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<p>Compressive strength vs. age for control concrete and fly ash concretes at 10% replacement.</p>
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<p>Compressive strength vs. age for control concrete and fly ash concretes at 20% replacement.</p>
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<p>Compressive strength vs. age for control concrete and fly ash concretes at 40% replacement.</p>
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<p>The relationship between anhydrite content, fly ash replacement ratio, and compressive strength for FA-1-incorporated concrete.</p>
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<p>The relationship between anhydrite content, fly ash replacement ratio, and compressive strength for FA-2-incorporated concrete.</p>
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28 pages, 4255 KiB  
Review
Bacterial Cellulose in Food Packaging: A Bibliometric Analysis and Review of Sustainable Innovations and Prospects
by Aida Aguilera Infante-Neta, Alan Portal D’Almeida and Tiago Lima de Albuquerque
Processes 2024, 12(9), 1975; https://doi.org/10.3390/pr12091975 - 13 Sep 2024
Viewed by 256
Abstract
The scientific community has explored new packaging materials owing to environmental challenges and pollution from plastic waste. Bacterial cellulose (BC), produced by bacteria like Gluconacetobacter xylinus, shows high potential for food preservation owing to its exceptional mechanical strength, high crystallinity, and effective [...] Read more.
The scientific community has explored new packaging materials owing to environmental challenges and pollution from plastic waste. Bacterial cellulose (BC), produced by bacteria like Gluconacetobacter xylinus, shows high potential for food preservation owing to its exceptional mechanical strength, high crystallinity, and effective barrier properties against gases and moisture, making it a promising alternative to conventional plastics. This review highlights recent advances in BC production, particularly agro-industrial residues, which reduce costs and enhance environmental sustainability. Incorporating antimicrobial agents into BC matrices has also led to active packaging solutions that extend food shelf-life and improve safety. A bibliometric analysis reveals a significant increase in research on BC over the last decade, reflecting growing global interest. Key research themes include the development of BC-based composites and the exploration of their antimicrobial properties. Critical areas for future research include improving BC production’s scalability and economic viability and the integration of BC with other biopolymers. These developments emphasize BC’s potential as a sustainable packaging material and its role in the circular economy through waste valorization. Full article
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<p>Scientific production over the past 10 years (2014–2024) about (■) “bacterial cellulose” and (●) “bacterial cellulose in food”.</p>
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<p>Three-field plot representing the correlation between the title, keywords, and source of the published papers.</p>
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<p>Top countries by number of publications on “bacterial cellulose in food applications”, highlighting the leading 10 nations.</p>
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<p>Thematic map of “bacterial cellulose in food”.</p>
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<p>(<b>A</b>) Factorial analysis and (<b>B</b>) dendrogram of “bacterial cellulose in food” applications.</p>
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<p>(<b>A</b>) Factorial analysis and (<b>B</b>) dendrogram of “bacterial cellulose in food” applications.</p>
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<p>Keyword cluster map for bacterial cellulose food applications.</p>
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28 pages, 7195 KiB  
Article
MEEAFusion: Multi-Scale Edge Enhancement and Joint Attention Mechanism Based Infrared and Visible Image Fusion
by Yingjiang Xie, Zhennan Fei, Da Deng, Lingshuai Meng, Fu Niu and Jinggong Sun
Sensors 2024, 24(17), 5860; https://doi.org/10.3390/s24175860 - 9 Sep 2024
Viewed by 583
Abstract
Infrared and visible image fusion can integrate rich edge details and salient infrared targets, resulting in high-quality images suitable for advanced tasks. However, most available algorithms struggle to fully extract detailed features and overlook the interaction of complementary features across different modal images [...] Read more.
Infrared and visible image fusion can integrate rich edge details and salient infrared targets, resulting in high-quality images suitable for advanced tasks. However, most available algorithms struggle to fully extract detailed features and overlook the interaction of complementary features across different modal images during the feature fusion process. To address this gap, this study presents a novel fusion method based on multi-scale edge enhancement and a joint attention mechanism (MEEAFusion). Initially, convolution kernels of varying scales were utilized to obtain shallow features with multiple receptive fields unique to the source image. Subsequently, a multi-scale gradient residual block (MGRB) was developed to capture the high-level semantic information and low-level edge texture information of the image, enhancing the representation of fine-grained features. Then, the complementary feature between infrared and visible images was defined, and a cross-transfer attention fusion block (CAFB) was devised with joint spatial attention and channel attention to refine the critical supplemental information. This allowed the network to obtain fused features that were rich in both common and complementary information, thus realizing feature interaction and pre-fusion. Lastly, the features were reconstructed to obtain the fused image. Extensive experiments on three benchmark datasets demonstrated that the MEEAFusion proposed in this research has considerable strengths in terms of rich texture details, significant infrared targets, and distinct edge contours, and it achieves superior fusion performance. Full article
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<p>Display of fusion results. IR and VIS denote infrared image and visible image, and Figures (<b>a</b>–<b>g</b>) show the fusion results of FusionGAN [<a href="#B8-sensors-24-05860" class="html-bibr">8</a>], IPLF [<a href="#B9-sensors-24-05860" class="html-bibr">9</a>], STDFusionNet [<a href="#B10-sensors-24-05860" class="html-bibr">10</a>], DenseFuse [<a href="#B11-sensors-24-05860" class="html-bibr">11</a>], RFN-Nest [<a href="#B12-sensors-24-05860" class="html-bibr">12</a>], PMGI [<a href="#B13-sensors-24-05860" class="html-bibr">13</a>], and FLFuse-Net [<a href="#B14-sensors-24-05860" class="html-bibr">14</a>], respectively. The red and green boxes outline the salient targets and detail regions.</p>
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<p>MEEAFusion—overall framework.</p>
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<p>MGRB module structure.</p>
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<p>Gradient convolution results of the visible image. (<b>a</b>,<b>b</b>) show the 3 × 3 and 5 × 5 Sobel convolution results, respectively.</p>
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<p>CAFB module structure.</p>
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<p>Visual display of fusion results for scene 00537D.</p>
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<p>Visual display of fusion results for scene 00878N.</p>
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<p>Visual display of fusion results for scene 01024N.</p>
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<p>Data distribution of fusion results for 36 pairs of MSRS images over the eight objective evaluation criteria. Each point (x, y) in this Figure means (100 × x)% of fused images whose metric values do not exceed y.</p>
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<p>Visual display of fusion results for bench scene. The salient regions are highlighted with red boxes.</p>
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<p>Visual display of fusion results for Kaptein_1123 scene. The salient and detailed regions are highlighted with red and green boxes.</p>
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<p>Data distribution of fusion results for 20 pairs of TNO images over the eight objective evaluation criteria. Each point (x, y) in this Figure means (100 × x)% of fused images whose metric values do not exceed y.</p>
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<p>Visual display of fusion results for scene FLIR_00006. The detailed regions are highlighted with red boxes.</p>
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<p>Visual display of fusion results for scene FLIR_00006. The detailed regions are highlighted with red boxes.</p>
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<p>Visual display of fusion results for scene FLIR_06570. The salient and detailed regions are highlighted with red and green boxes.</p>
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<p>Data distribution of fusion results for 30 pairs of RoadScene images over the eight objective evaluation criteria. Each point (x, y) in this Figure means (100 × x)% of fused images whose metric values do not exceed y.</p>
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<p>Visual results of the ablation experiment. The salient and detailed regions are highlighted with red and green boxes.</p>
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<p>Visual display of YOLOv5s prediction results for fused images of scene 00479D.</p>
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<p>Visual display of YOLOv5s prediction results for fused images of scene 01348N.</p>
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20 pages, 7601 KiB  
Article
Research on the Vibration Fatigue Characteristics of Ancient Building Wood Materials
by Chunyu Qian, Mingze Li, Hongjian Liao, Chenhe Zhang and Hangzhou Li
Buildings 2024, 14(9), 2840; https://doi.org/10.3390/buildings14092840 - 9 Sep 2024
Viewed by 343
Abstract
In this study, we selected ancient building timber as the research object. A series of static load tests were conducted to analyze the different performances of timber under tensile and compressive loads. After that, vibration fatigue tests on ancient timber samples were carried [...] Read more.
In this study, we selected ancient building timber as the research object. A series of static load tests were conducted to analyze the different performances of timber under tensile and compressive loads. After that, vibration fatigue tests on ancient timber samples were carried out under different upper limit stress ratios. Finally, a dynamic constitutive model of ancient timber was established based on the Ramberg–Osgood model. The static load test results show that the tensile strength was approximately 80% of the compressive strength. Meanwhile, the samples that failed under compressive pressure had obvious residual strength, and their failure strains were also much larger than those under tensile stress. In the vibration fatigue tests, the stress–strain curves were analyzed and the results showed that the curves displayed a trend moving to sparse from dense during the loading process. Meanwhile, the curves moved right with the increase in the upper limit stress ratios. The relationship between axial strain and the number of cycles appeared to be characterized by a three-stage form, i.e., damage occurrence, damage expansion, and damage penetration, and this relationship was formulated by a nonlinear function model. Finally, a dynamic constitutive model with high accuracy in describing the vibration fatigue characteristics of ancient timber was established by converting constant parameters to the variable parameters of the Ramberg–Osgood model. Full article
(This article belongs to the Section Building Materials, and Repair & Renovation)
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<p>The designed size of the timber samples.</p>
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<p>A picture of the sample.</p>
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<p>MTS858 material fatigue testing machine.</p>
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<p>The stress–strain curves of timber samples: (<b>a</b>) static tensile stress test; (<b>b</b>) static compressive stress test.</p>
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<p>The vibration test results of ancient timber samples under different ULSRs.</p>
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<p>Sinusoidal loading force.</p>
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<p>The curves of stress–strain under different ULSRs: (<b>a</b>) S = 0.4; (<b>b</b>) S = 0.6; (<b>c</b>) S = 0.7.</p>
Full article ">Figure 7 Cont.
<p>The curves of stress–strain under different ULSRs: (<b>a</b>) S = 0.4; (<b>b</b>) S = 0.6; (<b>c</b>) S = 0.7.</p>
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<p>The relationship of axial strain and the number of cycles under different ULSRs: (<b>a</b>) S = 0.4; (<b>b</b>) S = 0.6; (<b>c</b>) S = 0.7.</p>
Full article ">Figure 8 Cont.
<p>The relationship of axial strain and the number of cycles under different ULSRs: (<b>a</b>) S = 0.4; (<b>b</b>) S = 0.6; (<b>c</b>) S = 0.7.</p>
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<p>The relationship of the strain and the number of cycles (LYPL-3.5-1).</p>
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<p>Skeleton curve and hysteretic circle of the Ramberg–Osgood model.</p>
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<p>Comparison of the hysteretic curves of Sample NPL2.6-1: (<b>a</b>) <span class="html-italic">n</span>* = 0.01; (<b>b</b>) <span class="html-italic">n</span>* = 0.1; (<b>c</b>) <span class="html-italic">n</span>* = 0.5; (<b>d</b>) <span class="html-italic">n</span>* = 0.95.</p>
Full article ">Figure 11 Cont.
<p>Comparison of the hysteretic curves of Sample NPL2.6-1: (<b>a</b>) <span class="html-italic">n</span>* = 0.01; (<b>b</b>) <span class="html-italic">n</span>* = 0.1; (<b>c</b>) <span class="html-italic">n</span>* = 0.5; (<b>d</b>) <span class="html-italic">n</span>* = 0.95.</p>
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<p>Comparison of the hysteretic curves of Sample NPL2.6-3: (<b>a</b>) <span class="html-italic">n</span>* = 0.01; (<b>b</b>) <span class="html-italic">n</span>* = 0.1; (<b>c</b>) <span class="html-italic">n</span>* = 0.5; (<b>d</b>) <span class="html-italic">n</span>* = 0.95.</p>
Full article ">Figure 12 Cont.
<p>Comparison of the hysteretic curves of Sample NPL2.6-3: (<b>a</b>) <span class="html-italic">n</span>* = 0.01; (<b>b</b>) <span class="html-italic">n</span>* = 0.1; (<b>c</b>) <span class="html-italic">n</span>* = 0.5; (<b>d</b>) <span class="html-italic">n</span>* = 0.95.</p>
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<p>Comparison of the hysteretic curves of Sample NPL2.6-8: (<b>a</b>) <span class="html-italic">n</span>* = 0.01; (<b>b</b>) <span class="html-italic">n</span>* = 0.1; (<b>c</b>) <span class="html-italic">n</span>* = 0.5; (<b>d</b>) <span class="html-italic">n</span>* = 0.95.</p>
Full article ">Figure 13 Cont.
<p>Comparison of the hysteretic curves of Sample NPL2.6-8: (<b>a</b>) <span class="html-italic">n</span>* = 0.01; (<b>b</b>) <span class="html-italic">n</span>* = 0.1; (<b>c</b>) <span class="html-italic">n</span>* = 0.5; (<b>d</b>) <span class="html-italic">n</span>* = 0.95.</p>
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15 pages, 3718 KiB  
Article
Analysis of the Mechanical Properties of Structural Ceramics Made from Aggregate Washing Sludge and Manganese Mining Waste
by Juan María Terrones-Saeta, Vanesa Domínguez, Daniel Ramos, Emilio Romero and Juan Asensio-Lozano
Materials 2024, 17(17), 4427; https://doi.org/10.3390/ma17174427 - 9 Sep 2024
Viewed by 264
Abstract
The construction sector is presently among the most resource-intensive industries, driving a substantial body of research dedicated to the development of more sustainable materials to address these demands. A particularly promising approach within the framework of the circular economy is the repurposing of [...] Read more.
The construction sector is presently among the most resource-intensive industries, driving a substantial body of research dedicated to the development of more sustainable materials to address these demands. A particularly promising approach within the framework of the circular economy is the repurposing of waste as a principal raw material for the creation of new construction products. Within this context, the primary aim of this study is to engineer ceramic materials for brick production using 100% waste-derived inputs, specifically aggregate washing sludge and manganese mining by-products. To evaluate the potential of these sustainable ceramic materials, an extensive investigation was conducted, encompassing both physical and mechanical testing, as well as a thorough characterisation of the waste inputs. For this purpose, a series of ceramic specimens were fabricated with varying proportions of mining residues and aggregate washing sludge, adhering to the conventional protocols employed in the manufacture of ceramic bricks. The results demonstrate that these sustainable ceramics exhibit a linear shrinkage reduction of up to 5% compared to traditional clay-based ceramics. Furthermore, they show water absorption levels—whether via capillarity, cold water, or hot water absorption—that are up to twice those observed in conventional clay ceramics, while maintaining comparable density values. This increased absorption, however, correlates with a reduction in mechanical strength at higher concentrations of manganese waste, yet the material continues to meet the minimum strength requirements as specified by industry standards for such products. In conclusion, this research introduces a novel, sustainable ceramic material that not only reduces economic and environmental costs but also adheres to the required performance criteria for construction applications. Full article
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<p>Image of the ponds in which sludge from aggregate washing is deposited.</p>
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<p>Linear shrinkage of different ceramic specimen families formed with aggregate washing sludges and increasing percentages of manganese mining residues, compared to the values of ceramics formed with clay.</p>
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<p>Weight Loss Linear of different ceramic specimen families formed with aggregate washing sludges and increasing percentages of manganese mining residues, compared to the values of ceramics formed with clay.</p>
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<p>Capillary water absorption of different ceramic specimen families formed with aggregate washing sludges and increasing percentages of manganese mining residues, compared to the values of ceramics formed with clay.</p>
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<p>Cold water absorption of different ceramic specimen families formed with aggregate washing sludges and increasing percentages of manganese mining residues, compared to the values of ceramics formed with clay.</p>
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<p>Boiling water absorption of different ceramic specimen families formed with aggregate washing sludges and increasing percentages of manganese mining residues, compared to the values of ceramics formed with clay.</p>
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<p>Bulk density of different ceramic specimen families formed with aggregate washing sludges and increasing percentages of manganese mining residues, compared to the values of ceramics formed with clay.</p>
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<p>Final appearance of the different families of specimens.</p>
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<p>Compressive strength of different ceramic specimen families formed with aggregate washing sludges and increasing percentages of manganese mining residues, compared to the values of ceramics formed with clay.</p>
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11 pages, 4589 KiB  
Communication
Effect of Laser Beam Overlap Rate on Mechanical Properties of Aluminum Alloy Arc Welding with Laser Peening
by Jae-Ook Jeon, Ye-Sol Yun, Moo-Keun Song, Pyeong-Soo Kim and Jong-Do Kim
Metals 2024, 14(9), 1021; https://doi.org/10.3390/met14091021 - 6 Sep 2024
Viewed by 407
Abstract
This study aims to investigate the effect of the laser beam overlap rate on the mechanical properties of Al3003 aluminum alloy arc weldment with laser peening. To determine the optimal laser beam overlap rate for laser peening of the weldment, peening experiments were [...] Read more.
This study aims to investigate the effect of the laser beam overlap rate on the mechanical properties of Al3003 aluminum alloy arc weldment with laser peening. To determine the optimal laser beam overlap rate for laser peening of the weldment, peening experiments were conducted on bead-welded and butt-welded specimens with varying overlap rates, and the effect of the beam overlap rate was analyzed. As the overlap rate increased, the residual stress changed from tensile to compressive, with the highest level of compressive residual stress at the overlap rate of 75%. Laser peening was performed on the aluminum weldment of the prototype, applying the optimal peening conditions identified earlier. As a result of comparing the residual stress, hardness, and tensile strength of the weld before and after laser peening, it was found that the tensile residual stress in the weldment was improved to a compressive residual stress of about −50 MPa or more. The hardness and tensile strength of the weld increased after peening, and the mechanical properties were also improved. Full article
(This article belongs to the Special Issue Surface Strengthening and Modification of Metallic Materials)
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<p>Specimen size and schematic for laser peening.</p>
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<p>Laser peening equipment configuration.</p>
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<p>Schematic of the laser peening area and laser beam overlap.</p>
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<p>Photograph of the peened surface of a bead-welded specimen as a function of the laser beam overlap rate.</p>
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<p>Distribution of residual stresses on the peened surface of a bead-welded specimen as a function of the laser beam overlap rate.</p>
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<p>Photograph of the peened surface of a butt-welded specimen as a function of the laser beam overlap rate.</p>
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<p>XRD analysis results of the specimen before and after laser cleaning using wave clean beam pattern.</p>
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<p>Comparison of the hardness distribution in the weldment before and after laser peening.</p>
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<p>Comparison of tensile test results after laser surface treatment.</p>
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<p>Fracture surface analysis of tensile test specimens by laser surface treatment.</p>
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25 pages, 4950 KiB  
Review
Recent Advances in Aluminum Welding for Marine Structures
by Bai-Qiao Chen, Kun Liu and Sheng Xu
J. Mar. Sci. Eng. 2024, 12(9), 1539; https://doi.org/10.3390/jmse12091539 - 4 Sep 2024
Viewed by 457
Abstract
This review explores the recent advancements in welding techniques for aluminum plates utilized in ships and offshore structures, with a particular focus on minimizing weld-induced deformation and residual stress to improve structural performance. Given the critical role of welding in the construction and [...] Read more.
This review explores the recent advancements in welding techniques for aluminum plates utilized in ships and offshore structures, with a particular focus on minimizing weld-induced deformation and residual stress to improve structural performance. Given the critical role of welding in the construction and repair of marine structures, understanding the influence of these factors is paramount. This article synthesizes current research findings, evaluates the effectiveness of various welding methods, and highlights innovative approaches to reduce adverse effects. Through a comprehensive analysis of experimental and simulation studies, this review identifies key strategies for optimizing welding processes, thereby contributing to the durability and integrity of marine structures. This synthesis not only highlights successful strategies for optimizing welding processes but also offers guidance for researchers and practitioners in the field. This review also identifies previously unaddressed gaps in the literature, particularly focusing on the underexplored interactions between specific welding parameters and the long-term durability of marine structures, offering new perspectives and directions for future research. It delineates critical challenges faced in the welding of aluminum alloys for marine applications and offers targeted suggestions to address these issues, thereby paving the way for advancements in welding practices and technology. The findings aim to guide researchers and industry practitioners in selecting and developing welding techniques that ensure the safety, reliability, and longevity of marine infrastructure. Full article
(This article belongs to the Special Issue Advances in the Performance of Ships and Offshore Structures)
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<p>A visual representation of the FSW process detailing the critical zones and the interaction between the tool and the workpiece during welding. Source: <a href="https://www.twi-global.com/technical-knowledge/job-knowledge/friction-stir-welding-147" target="_blank">https://www.twi-global.com/technical-knowledge/job-knowledge/friction-stir-welding-147</a> (accessed on 24 August 2024).</p>
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<p>Material properties of aluminum alloy 6082-T6 that vary with temperature.</p>
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<p>FE model of a welded plate with hexahedral elements.</p>
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<p>Flow chart of a transient nonlinear TEP-FEA. Adapted from [<a href="#B48-jmse-12-01539" class="html-bibr">48</a>], with permission from Elsevier (Amsterdam, The Netherlands), 2024.</p>
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<p>Flow chart of a welding deformation analysis using the inherent strain method [<a href="#B77-jmse-12-01539" class="html-bibr">77</a>] (from an open-accessed journal article; permission is not required).</p>
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<p>Gaussian distributed heat source model.</p>
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<p>The classic double-ellipsoidal distributed heat source. Adapted from [<a href="#B40-jmse-12-01539" class="html-bibr">40</a>], with permission from Springer Nature (Berlin, Germany), 2024.</p>
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<p>Heat generation contributions in an FSW process [<a href="#B83-jmse-12-01539" class="html-bibr">83</a>] (completely redrawn by the authors; permission is not required).</p>
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<p>A digital-twin-based monitoring and control system for welding of dissimilar metals. Adapted from [<a href="#B101-jmse-12-01539" class="html-bibr">101</a>], with permission from Elsevier, 2024.</p>
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<p>L-shaped K-type thermocouples positioned on an aluminum plate for temperature measurements in an FSW process. Adapted from [<a href="#B106-jmse-12-01539" class="html-bibr">106</a>], with permission from Elsevier, 2024.</p>
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<p>Coded targets attached to a butt-welded plate for photogrammetric modeling. Adapted from [<a href="#B107-jmse-12-01539" class="html-bibr">107</a>]; no permission is required from Sage (New York, NY, USA) for Sage authors wishing to reuse their own work.</p>
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18 pages, 10991 KiB  
Article
The Influence of Shot Peening Media on Surface Properties and Fatigue Behaviour of Aluminium Alloy 6082 T6
by Erik Calvo-García, Jesús del Val, Antonio Riveiro, Sara Valverde-Pérez, David Álvarez, Manuel Román, César Magdalena, Aida Badaoui, Pablo Pou-Álvarez and Rafael Comesaña
J. Manuf. Mater. Process. 2024, 8(5), 192; https://doi.org/10.3390/jmmp8050192 - 3 Sep 2024
Viewed by 457
Abstract
Shot peening is generally used to improve the fatigue performance of mechanical components. However, identifying the geometrical and mechanical characteristics of the shots that improve fatigue strength is still a challenging task, as there are many variables involved in the shot peening process. [...] Read more.
Shot peening is generally used to improve the fatigue performance of mechanical components. However, identifying the geometrical and mechanical characteristics of the shots that improve fatigue strength is still a challenging task, as there are many variables involved in the shot peening process. The present work addresses the effect of different shot media on the fatigue behaviour of an aluminium alloy 6082 T6. Four different shot types were used: silica microspheres, alumina shots, aluminium cut wire and zinc cut wire. Axial fatigue tests were carried out to obtain the Wöhler curves corresponding to each shot peening treatment. The surface properties of the shot-peened specimens, such as grain size, hardness, residual stress and roughness were measured to determine their effect on the fatigue results. The fatigue results revealed that silica and zinc shots increased significantly the fatigue life of the alloy, whereas alumina and aluminium shots reduced its fatigue strength. Almen intensities have shown to correlate well with grain refinement and strain hardening. However, better fatigue results were obtained with the shots that generated higher surface compressive residual stresses. It is believed that small and smooth shots are preferable to sharp and irregular ones, regardless of the Almen intensity or surface hardness attained with the latter. Full article
(This article belongs to the Special Issue Deformation and Mechanical Behavior of Metals and Alloys)
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<p>Grain structure of the non-treated aluminium alloy 6082 T6.</p>
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<p>Particles used in the shot peening process: (<b>a</b>) silica microspheres, (<b>b</b>) alumina, (<b>c</b>) aluminium cut wire and (<b>d</b>) zinc cut wire.</p>
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<p>Dimensions and requirements of the fatigue test specimens.</p>
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<p>Grain structures at the surface of the aluminium alloy 6082 T6 after shot peening treatments with (<b>a</b>) silica microspheres, (<b>b</b>) alumina, (<b>c</b>) aluminium cut wire and (<b>d</b>) zinc cut wire.</p>
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<p>Nanohardness measurements as a function of depth for different shot peening treatments.</p>
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<p>Effect of Almen intensity on (<b>a</b>) grain refinement and (<b>b</b>) surface nanohardness increase.</p>
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<p>Surface residual stresses for different shot peening treatments.</p>
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<p>Surface topography of aluminium alloy 6082 T6 specimens (<b>a</b>) with no surface treatment and shot-peened with (<b>b</b>) silica microspheres, (<b>c</b>) alumina particles, (<b>d</b>) aluminium cut wire and (<b>e</b>) zinc cut wire.</p>
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<p>Wöhler diagrams of the 6082 T6 alloy subjected to different shot peening treatments.</p>
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<p>Fracture surface (front and lateral) of a non-treated specimen of 6082 aluminium alloy tested to a maximum stress of 305 MPa.</p>
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<p>Fracture surfaces (front and lateral) of the 6082 aluminium alloy shot-peened with (<b>a</b>) silica microspheres, (<b>b</b>) alumina particles, (<b>c</b>) aluminium cut wire and (<b>d</b>) zinc cut wire, all tested to a maximum stress of 305 MPa.</p>
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<p>Fatigue crack (<b>a</b>) initiation and (<b>b</b>) propagation of a non-treated specimen of 6082 aluminium alloy tested to a maximum stress of 305 MPa.</p>
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<p>Fatigue crack initiation sites of 6082 aluminium alloy specimens shot-peened with (<b>a</b>) silica microspheres, (<b>b</b>) alumina particles, (<b>c</b>) aluminium cut wire and (<b>d</b>) zinc cut wire, all tested to a maximum stress of 305 MPa.</p>
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11 pages, 8247 KiB  
Article
Investigation of the Mechanical Properties of Composite Honeycomb Sandwich Panels after Fatigue in Hygrothermal Environments
by Ming Zhao, Haibo Jin, Zhaoxin Yun, Zhengwei Meng and Wei Zhang
Polymers 2024, 16(17), 2497; https://doi.org/10.3390/polym16172497 - 1 Sep 2024
Viewed by 449
Abstract
Since carbon fibre composite sandwich structures have high specific strength and specific modulus, which can meet the requirements for the development of aircraft technology, more and more extensive attention has been paid to their residual mechanical properties after subjecting them to fatigue loading [...] Read more.
Since carbon fibre composite sandwich structures have high specific strength and specific modulus, which can meet the requirements for the development of aircraft technology, more and more extensive attention has been paid to their residual mechanical properties after subjecting them to fatigue loading in hygrothermal environments. In this paper, the compression and shear characteristics of carbon fibre-reinforced epoxy composite honeycomb sandwich wall panels after fatigue in hygrothermal environments are investigated through experiments. The experimental results show that under compressive loading, the load required for the buckling of composite honeycomb sandwich wall panels after fatigue loading in hygrothermal environments decreases by 25.9% and the damage load decreases by 10.5% compared to those at room temperature. Under shear loading, the load required for buckling to occur is reduced by 26.2% and the breaking load by 12.2% compared to those at room temperature. Full article
(This article belongs to the Special Issue Polymer-Based Composite Structures and Mechanical Metamaterials)
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<p>The structure of the compression specimen.</p>
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<p>The structure of the shear specimen.</p>
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<p>Compression test installation.</p>
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<p>Shear test installation.</p>
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<p>The strain gauge position: (<b>a</b>) compression test; and (<b>b</b>) shear test.</p>
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<p>The moisture absorption process of the composite honeycomb sandwich wall panels.</p>
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<p>The strain-load curves: (<b>a</b>) upper part; and (<b>b</b>) lower part.</p>
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<p>The strain-load curves: (<b>a</b>) upper part; and (<b>b</b>) lower part.</p>
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<p>The forms of damage to the specimens: (<b>a</b>) room temperature; and (<b>b</b>) hygrothermal temperature.</p>
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<p>The strain-load curves: (<b>a</b>) maximum principal strain; and (<b>b</b>) minimum principal strain.</p>
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<p>The strain-load curves: (<b>a</b>) maximum principal strain; and (<b>b</b>) minimum principal strain.</p>
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<p>The forms of damage to the specimens: (<b>a</b>) room temperature; and (<b>b</b>) hygrothermal temperature.</p>
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15 pages, 5568 KiB  
Article
A High-Methanol-Permeation Resistivity Polyamide-Based Proton Exchange Membrane Fabricated via a Hyperbranching Design
by Liying Ma, Hongxia Song, Xiaofei Gong, Lu Chen, Jiangning Gong, Zhijiao Chen, Jing Shen and Manqi Gu
Polymers 2024, 16(17), 2480; https://doi.org/10.3390/polym16172480 - 30 Aug 2024
Viewed by 361
Abstract
Four non-fluorinated sulfonimide polyamides (s-PAs) were successfully synthesized and a series of membranes were prepared by blending s-PA with polyvinylidene fluoride (PVDF) to achieve high-methanol-permeation resistivity for direct methanol fuel cell (DMFC) applications. Four membranes were fabricated by blending 50 wt% PVDF with [...] Read more.
Four non-fluorinated sulfonimide polyamides (s-PAs) were successfully synthesized and a series of membranes were prepared by blending s-PA with polyvinylidene fluoride (PVDF) to achieve high-methanol-permeation resistivity for direct methanol fuel cell (DMFC) applications. Four membranes were fabricated by blending 50 wt% PVDF with s-PA, named BPD-101, BPD-102, BPD-111 and BPD-211, respectively. The s-PA/PVDF membranes exhibit high methanol resistivity, especially for the BPD-111 membrane with methanol resistivity of 8.13 × 10−7 cm2/s, which is one order of magnitude smaller than that of the Nafion 117 membrane. The tensile strength of the BPD-111 membrane is 15 MPa, comparable to that of the Nafion 117 membrane. Moreover, the four membranes also show good thermal stability up to 230 °C. The BPD-x membrane exhibits good oxidative stability, and the measured residual weights of the BPD-111 membrane are 97% and 93% after treating in Fenton’s reagent (80 °C) for 1 h and 24 h, respectively. By considering the mechanical, thermal and dimensional properties, the polyamide proton-exchange membrane exhibits promising application potential for direct methanol fuel cells. Full article
(This article belongs to the Section Polymer Applications)
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<p>Test device of proton conductivity.</p>
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<p>H-type diaphragm-diffusion test device.</p>
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<p><sup>1</sup>H NMR spectra of the BPD-<span class="html-italic">x</span> polymers.</p>
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<p>The FT-IR spectra of (<b>a</b>) BPD-<span class="html-italic">x</span> polymers and (<b>b</b>) BPD-<span class="html-italic">x</span> blend membranes.</p>
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<p>XRD patterns of BPD-<span class="html-italic">x</span> membranes.</p>
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<p>(<b>a</b>) Methanol permeability through the BPD-<span class="html-italic">x</span> blend membranes and Nafion 117 membrane, cross-section SEM images of (<b>b</b>) the BPD-101 and (<b>c</b>) BPD-211 blend membranes.</p>
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<p>Proton conductivity of the BPD-<span class="html-italic">x</span> blend membranes.</p>
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<p>AFM tapping images of (<b>a</b>) BPD-102 and (<b>c</b>) BPD-111; 3D view of (<b>b</b>) BPD-102 and (<b>d</b>) BPD-111 membranes.</p>
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<p>Tensile stress and elongation at break of the BPD-<span class="html-italic">x</span>, PVDF and Nafion 117 membranes.</p>
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<p>Oxidative stability of the BPD-<span class="html-italic">x</span>, PVDF and Nafion 117 membranes.</p>
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<p>TG curves of the BPD-<span class="html-italic">x</span> blend membranes.</p>
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<p>Synthetic routes of the branch polyamide polymers.</p>
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23 pages, 7200 KiB  
Article
The Application of Converter Sludge and Slag to Produce Ecological Cement Mortars
by Malgorzata Ulewicz, Jakub Jura, Adam Zieliński and Jacek Pietraszek
Materials 2024, 17(17), 4295; https://doi.org/10.3390/ma17174295 - 30 Aug 2024
Viewed by 496
Abstract
The paper presents an analysis of the effective use of a mixture of steel sludge (S1) and slag (S2) from the converter process of steel production for the production of cement mortars. Metallurgical waste used in the research, which is currently deposited in [...] Read more.
The paper presents an analysis of the effective use of a mixture of steel sludge (S1) and slag (S2) from the converter process of steel production for the production of cement mortars. Metallurgical waste used in the research, which is currently deposited in waste landfills and heaps near plants, posing a threat to groundwater (possibility of leaching metal ions present in the waste), was used as a substitute for natural sand in the range of 0–20% by weight of cement (each). The obtained test results and their numerical analysis made it possible to determine the conditions for replacing part of the sand in cement mortars with a mixture of sludge and slag from a basic oxygen furnace (BOF) and to determine the effects of such modification. For the numerical analysis, a full quadratic Response Surface Model (RSM) was utilized for two controlled factors. This model was subsequently optimized through backward stepwise regression, ensuring the inclusion of only statistically significant components and verifying the consistency of residual distribution with the normal distribution (tested via Ryan-Joiner’s test, p > 0.1). The designated material models are helpful in designing ecological cement mortars using difficult-to-recycle waste (i.e., sludge and converter slag), which is important for a circular economy. Mortars modified with a mixture of metallurgical waste (up to 20% each) are characterized by a slightly lower consistency, compressive and flexural strength, and water absorption. However, they show a lower decrease in mechanical strength after the freezing–thawing process (frost resistance) compared to control mortars. Mortars modified with metallurgical waste do not have a negative impact on the environment in terms of leaching heavy metal ions. The use of a mixture of sludge and steel slag in the amount of 40% (slag/sludge in a 20/20 ratio) allows you to save 200 kg of sand when producing 1 m3 of cement mortar (cost reduction by approx. EUR 5.1/Mg) and will also reduce the costs of the environmental fee for depositing waste. Full article
(This article belongs to the Special Issue Structural Concrete and Composites: Processes, Corrosion and Modeling)
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<p>Waste sludge (<b>a</b>) and slag (<b>b</b>) from the oxygen furnace.</p>
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<p>Arrangement of plan systems in the space of the experiment plan; S1 and S2 in [%].</p>
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<p>Graph of the dependence of the consistency [cm] of cement mortar on the amount of added sludge S1 [%] and slag S2 [%].</p>
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<p>Graph of the dependence of the flexural strength [MPa] (<b>a</b>) and compressive strength [MPa] (<b>b</b>) of mortars after 28 days of maturation on the amount of added sludge S1 [%] and slag S2 [%].</p>
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<p>Dependence of water absorption [%] on the amount of slag S2 [%] in the mortar.</p>
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<p>Graph of the dependence of the decrease in flexural strength [MPa] (<b>a</b>) and compressive strength [MPa] (<b>b</b>) of mortars after frost resistance tests on the amount of added sludge S1 and slag S2 waste {%].</p>
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<p>Graph of the dependence of the mass loss [%] of mortars after frost resistance tests on the amount of added S1 and S2 waste [%].</p>
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<p>Microstructure of mortars: (<b>a</b>) control, (<b>b</b>) 20% S1 sludge, (<b>c</b>) 20% S2 slag, and (<b>d</b>) a mixture of 20% S1 + 20% S2.</p>
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<p>Microstructure of mortars: (<b>a</b>) control, (<b>b</b>) 20% S1 sludge, (<b>c</b>) 20% S2 slag, and (<b>d</b>) a mixture of 20% S1 + 20% S2.</p>
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17 pages, 4703 KiB  
Article
The Role of a New Stabilizer in Enhancing the Mechanical Performance of Construction Residue Soils
by Xin Chen, Jing Yu, Feng Yu, Jingjing Pan and Shuaikang Li
Materials 2024, 17(17), 4293; https://doi.org/10.3390/ma17174293 - 30 Aug 2024
Viewed by 339
Abstract
Urban construction generates significant amounts of construction residue soil. This paper introduces a novel soil stabilizer based on industrial waste to improve its utilization. This stabilizer is primarily composed of blast furnace slag (BFS), steel slag (SS), phosphogypsum (PG), and other additives, which [...] Read more.
Urban construction generates significant amounts of construction residue soil. This paper introduces a novel soil stabilizer based on industrial waste to improve its utilization. This stabilizer is primarily composed of blast furnace slag (BFS), steel slag (SS), phosphogypsum (PG), and other additives, which enhance soil strength through physical and chemical processes. This study investigated the mechanical properties of construction residue soil cured with this stabilizer, focusing on the effects of organic matter content (Oo), stabilizer dosage (Oc), and curing age (T) on unconfined compressive strength (UCS). Additionally, water stability and wet–dry cycle tests of the stabilized soil were conducted to assess long-term performance. According to the findings, the UCS increased with the higher stabilizer dosage and longer curing periods but reduced with the higher organic matter content. A stabilizer content of 15–20% is recommended for optimal stabilization efficacy and cost-efficiency in engineering applications. The samples lost their strength when immersed in water. However, adding more stabilizers to the soil can effectively enhance its water stability. Under wet–dry cycle conditions, the UCS initially increased and then decreased, remaining lower than that of samples cured under standard conditions. The findings can provide valuable data for the practical application in construction residual soil stabilization. Full article
(This article belongs to the Topic Mathematical Modeling of Complex Granular Systems)
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<p>The particle size distribution curve of the soil sample and the raw materials of the stabilizer.</p>
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<p>The compaction curve of the soil sample.</p>
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<p>The mineral phase of tested soil.</p>
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<p>The methods of this study.</p>
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<p>The relationship between the UCS of stabilized soil and the dosage of the stabilizer: (<b>a</b>) <span class="html-italic">T</span> = 7 d; (<b>b</b>) <span class="html-italic">T</span> = 14 d; (<b>c</b>) <span class="html-italic">T</span> = 21 d; (<b>d</b>) <span class="html-italic">T</span> = 28 d.</p>
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<p>The variation in strength performance of stabilized soil with different organic matter contents: (<b>a</b>) <span class="html-italic">T</span> = 7 d; (<b>b</b>) <span class="html-italic">T</span> = 14 d; (<b>c</b>) <span class="html-italic">T</span> = 21 d; (<b>d</b>) <span class="html-italic">T</span> = 28 d.</p>
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<p>The relationship between the UCS of stabilized soil and the dosage of the stabilizer: (<b>a</b>) <span class="html-italic">O</span><sub>c</sub> = 15%; (<b>b</b>) <span class="html-italic">O</span><sub>c</sub> = 20%; (<b>c</b>) <span class="html-italic">O</span><sub>c</sub> = 25%; (<b>d</b>) <span class="html-italic">O</span><sub>c</sub> = 30%.</p>
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<p>The variation of UCS of stabilized soil with immersion time: (<b>a</b>) <span class="html-italic">O</span><sub>c</sub> = 20%; (<b>b</b>) <span class="html-italic">O</span><sub>c</sub> = 30%.</p>
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<p>The strength residual coefficients of the new stabilized soil at different immersion periods.</p>
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<p>The UCS of the new stabilized soil varied with the wet–dry cycle numbers: (<b>a</b>) <span class="html-italic">O</span><sub>c</sub> = 20%; (<b>b</b>) <span class="html-italic">O</span><sub>c</sub> = 30%.</p>
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<p>The residual coefficients of stabilized soil under wet–dry cycling conditions.</p>
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<p>The cumulative mass loss rate varies with the cycle numbers.</p>
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18 pages, 9255 KiB  
Article
Simulation Study on Residual Stress Distribution of Machined Surface Layer in Two-Step Cutting of Titanium Alloy
by Jingyi Wang, Bo Kong, Shulei Wei, Jian Zang and Anhai Li
Materials 2024, 17(17), 4283; https://doi.org/10.3390/ma17174283 - 29 Aug 2024
Viewed by 400
Abstract
Ti-6Al-4V titanium alloy is known as one of the most difficult metallic materials to machine, and the machined surface residual stress distribution significantly affects properties such as static strength, fatigue strength, corrosion resistance, etc. This study utilized finite element software Abaqus 2020 to [...] Read more.
Ti-6Al-4V titanium alloy is known as one of the most difficult metallic materials to machine, and the machined surface residual stress distribution significantly affects properties such as static strength, fatigue strength, corrosion resistance, etc. This study utilized finite element software Abaqus 2020 to simulate the two-step cutting process of titanium alloy, incorporating stages of cooling, unloading, and de-constraining of the workpiece. The chip morphology and cutting force obtained from orthogonal cutting tests were used to validate the finite element model. Results from the orthogonal cutting simulations revealed that with increasing cutting speed and the tool rake angle, the residual stress undergoes a transition from compressive to tensile stress. To achieve greater residual compressive stress during machining, it is advisable to opt for a negative rake angle coupled with a lower cutting speed. Additionally, in two-step machining of titanium alloy, the initial cutting step exerts a profound influence on the subsequent cutting step, thereby shortening the evolution time of the Mises stress, equivalent plastic strain, and stiffness damage equivalent in the subsequent cutting step. These results contribute to optimizing titanium alloy machining processes by providing insights into controlling residual stress, ultimately enhancing product quality and performance of structural part of titanium alloy. Full article
(This article belongs to the Special Issue Cutting Processes for Materials in Manufacturing)
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<p>The flowchart of the simulation study.</p>
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<p>Multi-step cutting finite element simulation model. (<b>a</b>) Multi-step cutting model; (<b>b</b>) Workpiece meshing model.</p>
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<p>Temperature distribution nephogram (<b>a</b>) workpiece before cooling; (<b>b</b>) workpiece after cooling.</p>
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<p>Temperature change of machined surface material.</p>
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<p>Stress distribution of workpiece (<b>a</b>) before de-constraining; (<b>b</b>) after de-constraining.</p>
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<p>Experimental equipment in orthogonal cutting of Ti-6Al-4V titanium alloy (<b>a</b>) experimental equipment; (<b>b</b>) workpiece.</p>
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<p>Comparison of cutting forces between test and simulation.</p>
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<p>Comparison of chip morphology obtained from simulation and experiment (<b>a</b>) <span class="html-italic">v</span> = 40 m/min; (<b>b</b>) <span class="html-italic">v</span> = 80 m/min; (<b>c</b>) <span class="html-italic">v</span> = 120 m/min; (<b>d</b>) <span class="html-italic">v</span> = 160 m/min.</p>
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<p>Degree of chip serration <span class="html-italic">G<sub>s</sub></span> obtained from simulation and experiment (<b>a</b>) trend of chip serration degree with cutting speed; (<b>b</b>) simulated and experimental chip serration degree error.</p>
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<p>Residual stress data extraction path.</p>
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<p>Variation of residual stress in all directions along the depth to the machined surface.</p>
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<p>Variation of machining residual stress along the depth to the machined surface at different tool rake angles (<b>a</b>) <span class="html-italic">S</span><sub>11</sub> direction; (<b>b</b>) <span class="html-italic">S</span><sub>33</sub> direction.</p>
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<p>Variation of machining residual stress along the depth to the machined surface at different cutting speed (<b>a</b>) <span class="html-italic">S</span><sub>11</sub> direction; (<b>b</b>) <span class="html-italic">S</span><sub>33</sub> direction.</p>
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<p>Variation of stress, strain, and stiffness damage equivalent with cutting speed on machined surfaces in the first cutting step.</p>
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<p>Multi-step cutting simulation results (<b>a</b>) Mises stress distribution; (<b>b</b>) equivalent plastic strain distribution.</p>
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<p>Workpiece surface reference unit (<b>a</b>) surface reference unit for the first cutting step; (<b>b</b>) surface reference unit for the second cutting step.</p>
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<p>Evolution of stress, strain, and stiffness damage equivalent with time for the reference unit of the first cutting step.</p>
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<p>Evolution of stress, strain, and stiffness damage equivalent with time for the reference unit of the second cutting step.</p>
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