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Search Results (1,607)

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13 pages, 1754 KiB  
Article
Protective Magnetron Sputtering Physical Vapor Deposition Coatings for Space Application
by Beata Kucharska, Kamil Bochra, Tadeusz Wierzchoń and Jerzy Robert Sobiecki
Coatings 2024, 14(9), 1195; https://doi.org/10.3390/coatings14091195 - 16 Sep 2024
Viewed by 191
Abstract
In this study, the use of Cr/CrN+CrCN/Cr-C:H, Cr/W-C:H, and Cr/CrN+Ag/Cr-C:H coatings deposited on copper beryllium were investigated. These protective coatings were prepared using the Magnetron Sputtering Physical Vapor Deposition (MSPVD) method. The tests were carried out in order to qualify the outer DLC [...] Read more.
In this study, the use of Cr/CrN+CrCN/Cr-C:H, Cr/W-C:H, and Cr/CrN+Ag/Cr-C:H coatings deposited on copper beryllium were investigated. These protective coatings were prepared using the Magnetron Sputtering Physical Vapor Deposition (MSPVD) method. The tests were carried out in order to qualify the outer DLC (Diamond-Like Carbon) layers for use as the protective function and for regulating the thermo-optical properties. The objective of this study was to compare the properties of chromium and chromium nitride-based coatings. The microstructure, architecture, and chemical composition were studied using scanning electron microscopy (SEM), Photo Diode BackScattered Electrons (PDBS), and X-ray dispersion spectroscopy (EDX). The adhesion was evaluated using a scratch test and a peel and pull-off method. The level of protection against the cold welding effect was tested. Thermo-optical, microhardness, and surface electric resistivity tests were performed. It was found that in cases where increased resistance to cold welding is required, DLC2 and DLC3 proved to be the best solutions. An example of such an application is tubular boom antennas, which are stored in a rolled-up form until deployed in space. They are susceptible to cold welding due to vibration during rocket launch and subsequent exposure to high vacuum. Full article
19 pages, 9739 KiB  
Article
Lateral Performance of Composite Wall with Cold-Formed Thin-Walled Steel–Concrete Sandwich Panel
by Jian Zou, Baozhu Cao, Xiang Zeng and Yuchuan Zhang
Buildings 2024, 14(9), 2928; https://doi.org/10.3390/buildings14092928 - 16 Sep 2024
Viewed by 256
Abstract
To study the lateral performance of a cold-formed steel–concrete insulation sandwich panel composite wall, two full-scale specimens with different arrangements were designed. The specimens underwent cyclic loading tests to examine the failure characteristics of the composite wall, and lateral performance aspects such as [...] Read more.
To study the lateral performance of a cold-formed steel–concrete insulation sandwich panel composite wall, two full-scale specimens with different arrangements were designed. The specimens underwent cyclic loading tests to examine the failure characteristics of the composite wall, and lateral performance aspects such as the experimental hysteresis curve, skeleton curve, and characteristic value of the whole loading process were acquired. The experimental results indicate that the failure of the composite wall system was primarily caused by the failure of the connection; the overall lateral performance of composite walls with one wall panel at the bottom and two wall panels at the top (W1) was superior to that of composite walls with two wall panels at the bottom and one wall panel at the top (W2). When loaded to an inter-story drift ratio of 1/300, the composite wall did not exhibit any significant damage. A finite element (FE) model was developed and validated by the experiments. Factors affecting the shear bearing capacity were analyzed based on the FE model, including the yield strength of diagonal braces, the thickness of the diagonal braces, the arrangement pattern of the wall panels, the dimensions of the wall panels, and the strength of the connection of the L-shaped connector and the flat connector. The FE results show that all these factors can influence the lateral performance of the composite wall. Full article
(This article belongs to the Section Building Structures)
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Figure 1
<p>Composite wall: (<b>a</b>) flat steel connectors; (<b>b</b>) axial view of L-shaped connectors; (<b>c</b>) W1; (<b>d</b>) W2.</p>
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<p>Joint and structure of upper and lower wall panels.</p>
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<p>Mechanical property testing of the material: (<b>a</b>) steel tensile fracture; (<b>b</b>) concrete compressive failure; (<b>c</b>) shear failure of self-tapping screws.</p>
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<p>Loading regime.</p>
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<p>Layout of the loading apparatus and sensor position: (<b>a</b>) loading apparatus schematic; (<b>b</b>) sensor position layout diagram.</p>
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<p>Failure patterns of specimen W1: (<b>a</b>) the upper and lower wall panels are out of alignment; (<b>b</b>) flat connector at the left end is damaged; (<b>c</b>) the upper wall panels are detached. (<b>d</b>) The wall panel bulged outward.</p>
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<p>Failure patterns of specimen W2: (<b>a</b>) the L-shaped connector at the right end is damaged; (<b>b</b>) the upper and lower wall panels are out of alignment; (<b>c</b>) flat connector at the left end is damaged.</p>
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<p>Hysteresis curves of the specimens: (<b>a</b>) specimen W1 hysteresis curve; (<b>b</b>) specimen W2 hysteresis curve.</p>
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<p>Skeleton curve.</p>
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<p>Stiffness degradation curves.</p>
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<p>Computation of energy dissipation coefficient.</p>
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<p>Load–displacement curve of steel and concrete connection.</p>
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<p>Finite element modeling: (<b>a</b>) finite element global model; (<b>b</b>) finite element model of steel framework.</p>
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<p>The finite element failure mode of the W1 specimen: (<b>a</b>) Von Mises stress contour map of steel frame; (<b>b</b>) Von Mises stress contour map of wall panel; (<b>c</b>) displacement contour map in the Uy direction of steel frame; (<b>d</b>) displacement contour map in the Uy direction of wall panel.</p>
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<p>Comparison of experimental and finite element simulation results: (<b>a</b>) skeleton curve of specimen W1; (<b>b</b>) skeleton curve of specimen W2.</p>
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<p>The influence of diagonal brace yield strength on seismic performance: (<b>a</b>) skeletal curves with different diagonal brace yield strengths. (<b>b</b>) The effect on the shear capability of the specimens.</p>
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<p>The impact of diagonal bracing thickness on seismic performance. (<b>a</b>) Skeletal curves with varying diagonal brace thicknesses; (<b>b</b>) the impact on the load-bearing capacity of the specimens.</p>
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<p>Arrangement pattern of the wall panels. (<b>a</b>) W1-A1; (<b>b</b>) W1-A2; (<b>c</b>) W1-A3.</p>
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<p>The skeleton curves for different wall panel arrangements.</p>
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<p>Dimensions of wall panels. (<b>a</b>) W1-R-1. (<b>b</b>) W1-R-2. (<b>c</b>) W1-R-3.</p>
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<p>The skeleton curves for different dimensions of wall panels.</p>
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<p>The skeleton curves for different strengths of the connection.</p>
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24 pages, 2008 KiB  
Review
A Review on the Arctic–Midlatitudes Connection: Interactive Impacts, Physical Mechanisms, and Nonstationary
by Shuoyi Ding, Xiaodan Chen, Xuanwen Zhang, Xiang Zhang and Peiqiang Xu
Atmosphere 2024, 15(9), 1115; https://doi.org/10.3390/atmos15091115 - 13 Sep 2024
Viewed by 265
Abstract
In light of the rapid Arctic warming and continuous reduction in Arctic Sea ice, the complex two-way Arctic–midlatitudes connection has become a focal point in recent climate research. In this paper, we review the current understanding of the interactive influence between midlatitude atmospheric [...] Read more.
In light of the rapid Arctic warming and continuous reduction in Arctic Sea ice, the complex two-way Arctic–midlatitudes connection has become a focal point in recent climate research. In this paper, we review the current understanding of the interactive influence between midlatitude atmospheric variability and Arctic Sea ice or thermal conditions on interannual timescales. As sea ice diminishes, in contrast to the Arctic warming (cooling) in boreal winter (summer), Eurasia and North America have experienced anomalously cold (warm) conditions and record snowfall (rainfall), forming an opposite oscillation between the Arctic and midlatitudes. Both statistical analyses and modeling studies have demonstrated the significant impacts of autumn–winter Arctic variations on winter midlatitude cooling, cold surges, and snowfall, as well as the potential contributions of spring–summer Arctic variations to midlatitude warming, heatwaves and rainfall, particularly focusing on the role of distinct regional sea ice. The possible physical processes can be categorized into tropospheric and stratospheric pathways, with the former encompassing the swirling jet stream, horizontally propagated Rossby waves, and transient eddy–mean flow interaction, and the latter manifested as anomalous vertical propagation of quasi-stationary planetary waves and associated downward control of stratospheric anomalies. In turn, atmospheric prevailing patterns in the midlatitudes also contribute to Arctic Sea ice or thermal condition anomalies by meridional energy transport. The Arctic–midlatitudes connection fluctuates over time and is influenced by multiple factors (e.g., continuous melting of climatological sea ice, different locations and magnitudes of sea ice anomalies, internal variability, and other external forcings), undoubtedly increasing the difficulty of mechanism studies and the uncertainty surrounding predictions of midlatitude weather and climate. In conclusion, we provide a succinct summary and offer suggestions for future research. Full article
(This article belongs to the Special Issue Arctic Atmosphere–Sea Ice Interaction and Impacts)
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Figure 1
<p>Per ten-year variation in the annual cycle of Arctic Sea ice extent with eight lowest sea ice years (e.g., 2007, 2011, 2012, 2016, 2018, 2019, 2020, 2021). Figure and Table is from the National Snow and Ice Data Center (NSIDC; <a href="https://nsidc.org/arcticseaicenews/charctic-interactive-sea-ice-graph/" target="_blank">https://nsidc.org/arcticseaicenews/charctic-interactive-sea-ice-graph/</a>, accessed on 1 June 2024) and ref. [<a href="#B28-atmosphere-15-01115" class="html-bibr">28</a>].</p>
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<p>Schematic diagram of how the autumn (<b>a</b>) EsCB and (<b>b</b>) BK sea ice loss affects winter Eurasian temperature anomalies. Shadings in cylindrical equidistant and polar projection maps denote air temperature anomalies at 1000 hPa and sea ice anomalies, respectively. Red (blue) represents positive (negative) anomalies. Contours in cylindrical equidistant and polar projection maps denote geopotential anomalies at 1000 and 500 hPa, respectively. Dots denote more frequent extreme low temperatures. Black arrows denote the horizontal propagation of planetary waves. Orange (green) empty arrows denote stratospheric (tropospheric) pathways.</p>
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<p>Schematic diagram of the connections between summer Arctic changes and midlatitude temperature and precipitation anomalies. Shadings denote air temperature anomalies at 1000 hPa. Red (blue) represents positive (negative) anomalies. Contours denote geopotential anomalies at 500 hPa. Green (brown) dots denote excessive (deficient) rainfall. Black arrows denote the horizontal propagation of planetary waves.</p>
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<p>A brief synopsis of the Arctic–midlatitudes connection: interactive impacts, possible physical mechanisms (tropospheric and stratospheric pathways), and nonstationary. BK Seas denotes Barents–Kara Seas, EsCB Seas denotes East Siberian–Chukchi–Beaufort Seas, NA denotes North Atlantic, NP denotes North Pacific, AO/NAO denotes Arctic/North Atlantic Oscillation, UB denotes Ural blocking, PNA denotes Pacific–North American, ENSO denotes El Niño–Southern Oscillation, and MJO denotes Madden–Julian Oscillation.</p>
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22 pages, 20139 KiB  
Article
Investigation on Flexural Behavior of Galvanized Cold-Formed Steel Beams Exposed to Fire with Different Stiffener Configurations
by Varun Sabu Sam, Garry Wegara K Marak, Anand Nammalvar, Diana Andrushia, Beulah Gnana Ananthi Gurupatham and Krishanu Roy
Fire 2024, 7(9), 318; https://doi.org/10.3390/fire7090318 - 13 Sep 2024
Viewed by 301
Abstract
Cold-formed steel (CFS) sections, increasingly favored in the construction industry due to their numerous advantages over hot-rolled steel, have received limited attention in research concerning the flexural behavior of galvanized iron (GI)-based CFS at elevated temperatures. Understanding how these materials and structures behave [...] Read more.
Cold-formed steel (CFS) sections, increasingly favored in the construction industry due to their numerous advantages over hot-rolled steel, have received limited attention in research concerning the flexural behavior of galvanized iron (GI)-based CFS at elevated temperatures. Understanding how these materials and structures behave under elevated temperatures is crucial for fire safety. The authors have performed experimental studies previously on GI-based CFS under elevated temperatures. In that study, CFS sections made of GI of grade E350 of 1.5 m long and 2 mm thickness were used. Built-up beam sections were tested under two-point loading after heating to 60 and 90 min durations and subsequently cooling them down using air and water. This study aims to uncover the influence of different stiffener configurations on the load carrying capacity of sections under elevated temperature parametrically. With the experimental study results from previous studies as a reference, authors used FEM analysis to comprehensively study the behavior of GI-based CFS sections under fire. Vertical, horizontal, and not providing a stiffener were the configurations selected to study the beams parametrically. Parametric analysis confirmed that different stiffener configurations did not alter the predominant failure mode, which remained distortional buckling across all specimens. Beams with vertical stiffeners demonstrated superior performance compared to those with horizontal stiffeners in parametric analysis. Lateral–torsional buckling was observed in the reference specimen, lacking stiffeners due to inadequate restraint at the supports. Full article
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Figure 1
<p>Beam sections connected using self-tapping screws [<a href="#B27-fire-07-00318" class="html-bibr">27</a>].</p>
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<p>(<b>a</b>) Comparison of ISO fire curve and sections surface temperature, (<b>b</b>) rate of cooling using air and water.</p>
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<p>FEM model of beam with vertical stiffener.</p>
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<p>FEM model—meshing in beam section.</p>
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<p>Validation of ultimate load between experimental and analytical model of the beam specimen with vertical stiffeners.</p>
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<p>FEM failure modes of sections with vertical stiffener.</p>
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<p>FEM failure modes of sections with horizontal stiffener.</p>
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<p>FEM failure modes of sections with no stiffener.</p>
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<p>FEM failure modes of sections with no stiffener.</p>
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<p>Failure modes noted for beam sections without any stiffener.</p>
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<p>Comparison of ultimate load between experimental and analytical model of the beam specimen with horizontal stiffeners.</p>
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<p>Comparison of ultimate load between experimental and analytical model of the beam specimen with no stiffeners.</p>
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<p>Load–deflection curve obtained for sections with vertical stiffener.</p>
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<p>Load–deflection curve obtained for sections with horizontal stiffener.</p>
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<p>Load–deflection curve obtained for sections with no stiffener.</p>
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<p>EAC for sections with horizontal stiffener.</p>
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<p>EAC for sections with no stiffener.</p>
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<p>Stiffness for sections with horizontal stiffener.</p>
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<p>Stiffness for sections with no stiffener.</p>
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<p>Ductility factor for sections with horizontal stiffener.</p>
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<p>Ductility factor for sections with no stiffener.</p>
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<p>Relationship obtained between yield strength and the moment with vertical stiffener.</p>
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<p>Relationship obtained between yield strength and the moment with horizontal stiffener.</p>
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<p>Relationship obtained between yield strength and the moment with no stiffener.</p>
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<p>Signature curve for beam section EREF.</p>
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12 pages, 4492 KiB  
Article
Numerical Simulation of Water Migration during Soil Freezing and Its Resulting Characterization
by Bicheng Zhou, Anatoly V. Brouchkov, Lidia I. Eremina, Chunguang Xu and Jiabo Hu
Appl. Sci. 2024, 14(18), 8210; https://doi.org/10.3390/app14188210 - 12 Sep 2024
Viewed by 199
Abstract
Water migration behavior is the main cause of engineering disasters in cold regions, making it essential to understand its mechanisms and the resulting mechanical characteristics for engineering protection. This study examined the water migration process during soil freezing through both experimental and numerical [...] Read more.
Water migration behavior is the main cause of engineering disasters in cold regions, making it essential to understand its mechanisms and the resulting mechanical characteristics for engineering protection. This study examined the water migration process during soil freezing through both experimental and numerical simulations, focusing on the key mechanical outcomes such as deformation and pore water pressure. Initially, a series of controlled unidirectional freezing experiments were performed on artificial kaolin soil under various freezing conditions to observe the water migration process. Subsequently, a numerical model of water migration was formulated by integrating the partial differential equations of heat and mass transfer. The model’s boundary conditions and relevant parameters were derived from both the experimental processes and existing literature. The findings indicate that at lower clay water content, the experimental results align closely with those of the model. Conversely, at higher water content, the modeled results of frost heaving were less pronounced than the experimental outcomes, and the freezing front advanced more slowly. This discrepancy is attributed to the inability of unfrozen water to penetrate once ice lenses form, causing migrating water to accumulate and freeze at the warmest ice lens front. This results in a higher ice content in the freezing zone than predicted by the model, leading to more significant freezing expansion. Additionally, the experimental observations of pore water pressure under freeze–thaw conditions corresponded well with the trends and peaks projected by the simulation results. Full article
(This article belongs to the Topic Applied Heat Transfer)
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<p>The apparatus of the one-dimensional freezing test.</p>
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<p>Diagram of water migration at freezing fringe.</p>
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<p>Modeling flowchart. (<b>a</b>) Experimental photo of frozen soil column. (<b>b</b>) Schematic diagram of soil column structure. (<b>c</b>) Modeled temperature contour.</p>
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<p>Comparison between simulation results and experimental data: the relationship between frost heaving and freezing depth over time. Here, sample (<b>a</b>) weight water content was 56%, temperature of cold end was <math display="inline"><semantics> <mrow> <mo>−</mo> <mn>10</mn> </mrow> </semantics></math> °C; (<b>b</b>) weight water content was 50%, temperature of cold end was <math display="inline"><semantics> <mrow> <mo>−</mo> <mn>5</mn> </mrow> </semantics></math> °C; (<b>c</b>) weight water content was 50%, temperature of cold end was <math display="inline"><semantics> <mrow> <mo>−</mo> <mn>10</mn> </mrow> </semantics></math> °C.</p>
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<p>Schematic diagram of the pore pressure after freezing of the kaolin clay column, with the cold end temperature at −5 °C, initial weight water content of 50%. (<b>a</b>) Within 5 h of freezing, no ice lenses were generated; (<b>b</b>) after 20 h of freezing, ice lenses were generated.</p>
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<p>Comparison between simulation results and experimental data: The change mode of pore water pressure during the freezing and thawing of Qinghai–Tibet clay sample SC2.</p>
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14 pages, 23510 KiB  
Article
Experimental Study of Reaming Sizes on Fatigue Life of Cold-Expanded 7050-T7451 Aluminum Alloy
by Muyu Guan, Qichao Xue, Zixin Zhuang, Quansheng Hu and Hui Qi
Crystals 2024, 14(9), 803; https://doi.org/10.3390/cryst14090803 - 11 Sep 2024
Viewed by 239
Abstract
The split-sleeve cold expansion technology is widely used in the aerospace industry, particularly for fastening holes, to enhance the fatigue life of components. However, to ensure proper assembly and improve surface integrity, reaming of the cold-expanded holes is necessary. This study investigates the [...] Read more.
The split-sleeve cold expansion technology is widely used in the aerospace industry, particularly for fastening holes, to enhance the fatigue life of components. However, to ensure proper assembly and improve surface integrity, reaming of the cold-expanded holes is necessary. This study investigates the effects of cold expansion and reaming processes on the fatigue performance of 7050-T7451 aluminum alloy. Fatigue tests, residual stress measurements, and microstructural analyses of the hole edges were conducted on specimens with four different hole diameters after cold expansion and reaming. It was found that the depth of reaming significantly affects fatigue life. During the cold expansion process, the compressive residual stress formed around the hole effectively improves fatigue performance. The experiments demonstrated that reaming by 0.2 mm to 0.4 mm helps eliminate minor defects, thereby improving fatigue life. However, reaming beyond 0.5 mm may lead to stress relief and the removal of dense grains at the hole edges, reducing fatigue life. Therefore, determining the optimal reaming size is crucial for enhancing the reliability of aerospace fasteners. Full article
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Figure 1
<p>Stress–strain curve of 7050-T7451 aluminum alloy.</p>
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<p>Fatigue specimen size with different hole diameters: (<b>a</b>) 4.3 mm, (<b>b</b>) 5.3 mm, (<b>c</b>) 7.18 mm, (<b>d</b>) 11.1 mm.</p>
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<p>(<b>a</b>,<b>b</b>) Cold-expanded specimens and the illustration of the split-sleeve cold expansion process.</p>
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<p>Cold expansion specimens with different initial hole diameters after fatigue testing: (<b>a</b>) 4.3 mm; (<b>b</b>) 5.3 mm; (<b>c</b>) 7.18 mm; (<b>d</b>) 11.1 mm.</p>
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<p>Fatigue life of specimens with different initial hole diameters after being reamed to different final hole diameters: (<b>a</b>) 4.3 mm, (<b>b</b>) 5.3 mm, (<b>c</b>) 7.18 mm, (<b>d</b>) 11.1 mm.</p>
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<p>Fatigue life of optimally reamed size specimens and uncold-expanded specimens.</p>
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<p>Fracture morphologies of uncold-expanded specimens: (<b>a</b>) overall morphology of the port, (<b>b</b>) crack source, (<b>c</b>) amplified area of the crack source, (<b>d</b>) transient fracture area.</p>
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<p>Fracture morphologies of specimens reamed to 4.8 mm after cold expansion: (<b>a</b>) overall morphology of the port, (<b>b</b>) crack source, crack extension zone, (<b>c</b>) tire indentation in the crack extension zone, (<b>d</b>) instantaneous fracture zone.</p>
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<p>Fracture morphologies of specimens reamed to 5.0 mm after cold extrusion: (<b>a</b>) overall morphology of the port, (<b>b</b>) crack source, crack extension zone, (<b>c</b>) amplified area of the crack source, (<b>d</b>) instantaneous fracture zone.</p>
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<p>Inverse pole figure, local misorientation average angle map, and grain boundary map of (<b>a</b>–<b>c</b>) specimen cold-expanded without reaming and (<b>d</b>–<b>f</b>) specimen cold-expanded and reamed to 5.0 mm.</p>
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<p>Residual stress distribution in reamed and unreamed specimens after cold expansion.</p>
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12 pages, 3550 KiB  
Article
Deep Learning Based Characterization of Cold-Water Coral Habitat at Central Cantabrian Natura 2000 Sites Using YOLOv8
by Alberto Gayá-Vilar, Alberto Abad-Uribarren, Augusto Rodríguez-Basalo, Pilar Ríos, Javier Cristobo and Elena Prado
J. Mar. Sci. Eng. 2024, 12(9), 1617; https://doi.org/10.3390/jmse12091617 - 11 Sep 2024
Viewed by 249
Abstract
Cold-water coral (CWC) reefs, such as those formed by Desmophyllum pertusum and Madrepora oculata, are vital yet vulnerable marine ecosystems (VMEs). The need for accurate and efficient monitoring of these habitats has driven the exploration of innovative approaches. This study presents a [...] Read more.
Cold-water coral (CWC) reefs, such as those formed by Desmophyllum pertusum and Madrepora oculata, are vital yet vulnerable marine ecosystems (VMEs). The need for accurate and efficient monitoring of these habitats has driven the exploration of innovative approaches. This study presents a novel application of the YOLOv8l-seg deep learning model for the automated detection and segmentation of these key CWC species in underwater imagery. The model was trained and validated on images collected at two Natura 2000 sites in the Cantabrian Sea: the Avilés Canyon System (ACS) and El Cachucho Seamount (CSM). Results demonstrate the model’s high accuracy in identifying and delineating individual coral colonies, enabling the assessment of coral cover and spatial distribution. The study revealed significant variability in coral cover between and within the study areas, highlighting the patchy nature of CWC habitats. Three distinct coral community groups were identified based on percentage coverage composition and abundance, with the highest coral cover group being located exclusively in the La Gaviera canyon head within the ACS. This research underscores the potential of deep learning models for efficient and accurate monitoring of VMEs, facilitating the acquisition of high-resolution data essential for understanding CWC distribution, abundance, and community structure, and ultimately contributing to the development of effective conservation strategies. Full article
(This article belongs to the Special Issue Application of Deep Learning in Underwater Image Processing)
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<p>Map of the study area showing the boundaries of ACS and CSM, including its expansion (blue). Points indicate the transects surveyed in the study.</p>
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<p>(<b>a</b>) The TASIFE ROTV used in the ECOMARG 2024 survey. (<b>b</b>) ROTV Politolana used in the INDEMARES-INTEMARES 2014–2021 surveys. (<b>c</b>) Example image obtained by ROTV of the Cantabrian Sea seabed with <span class="html-italic">D. pertusum</span> and <span class="html-italic">M. oculata</span> colonies.</p>
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<p>Workflow for cold-water coral analysis: Underwater imagery from a ROTV was annotated in CVAT to train the YOLOv8l-seg model. Five-fold cross-validation ensured model robustness before inferring new imagery, accurately detecting and segmenting coral species.</p>
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<p>Nonmetric multidimensional scaling (nMDS) of transects based on cold-water coral composition. Points represent transects, and colors indicate groups identified by hierarchical cluster analysis.</p>
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<p>Line graph showing the mean cover (%) of <span class="html-italic">D. pertusum</span> and <span class="html-italic">M. oculata</span> in each group identified by hierarchical cluster analysis.</p>
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<p>Map of the study area (CSM and ACS) with the locations of the transects color-coded by a group based on hierarchical cluster analysis. La Gaviera canyon head is indicated within the ACS.</p>
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17 pages, 4174 KiB  
Article
Genome-Wide Identification of MsICE Gene Family in Medicago sativa and Expression Analysis of the Response to Abiotic Stress
by Baiji Wang, Qianning Liu, Wen Xu, Yuying Yuan, Muzhapaer Tuluhong, Jinqiu Yu and Guowen Cui
Agronomy 2024, 14(9), 2064; https://doi.org/10.3390/agronomy14092064 - 9 Sep 2024
Viewed by 407
Abstract
To predict the role of the MsICE gene family in the response to abiotic stress, in this study, bioinformatics analysis and real-time fluorescence quantitative PCR were performed. Alfalfa (Medicago sativa) is one of the most economically valuable crops globally. Inducer of [...] Read more.
To predict the role of the MsICE gene family in the response to abiotic stress, in this study, bioinformatics analysis and real-time fluorescence quantitative PCR were performed. Alfalfa (Medicago sativa) is one of the most economically valuable crops globally. Inducer of CBF expression (ICE), which is part of the basic helix–loop–helix (bHLH) transcription factor (TF) family, acts as a key regulator of cold tolerance. Despite this, there is little information available about ICE genes in alfalfa. Therefore, we studied the function of ICE TFs in alfalfa. We identified 11 MsICE genes from the alfalfa genome and classified them into two groups. Analysis of the protein motif and gene structure revealed relatively high conservation among subgroups of the tightly clustered MsICE genes. Through synteny analysis, we detected duplication events in the MsICE gene family, suggesting that the ICE gene family was formed through fragment duplications. All the MsICE proteins were located in the nucleus according to subcellular localization predictions. The promoter cis-regulatory elements of MsICE genes are largely involved in light (Box 4), hormone (ABRE), and stress (MYB) responses. The MsICE01/MsICE07/MsICE09/MsICE10/MsICE11 genes contained MYB- and MYC-binding motifs, indicating an association with abiotic stress. The specific expression patterns of MsICE genes in leaves were revealed by examining their expression patterns in different tissues. These findings suggest that these genes may sense external environmental changes through leaves. Abiotic stress can cause striking upregulation of MsICE07 (PCA score: −4.03) and MsICE10 (PCA score: −4.05) expression. In this study, candidate genes associated with cold stress were identified, and subsequent molecular biological analyses allowed elucidation of the biological functions of these genes in alfalfa. This research provides a theoretical foundation for enhancing alfalfa yield and quality under cold conditions. Full article
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<p>Illustration of the chromosomal location of the <span class="html-italic">MsICEs</span>, with vertical bars corresponding to the chromosomes of alfalfa and lengths indicating the relative size of the chromosomes. Left-hand side shows the scale (Mb) of chromosome length.</p>
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<p><span class="html-italic">MsICEs</span> multi-sequence alignment of conserved domains. (<b>A</b>) The black box represents bHLH-ZIP domain. (<b>B</b>) The black box represents ACT-like domain.</p>
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<p>Phylogenetic analysis of ICE proteins in alfalfa, <span class="html-italic">M. truncatula</span>, and <span class="html-italic">A. thaliana</span>. Clades in purple and orange branches refer to Group (1) and Group (2), respectively. The stars, triangles, and circles represent ICE domains from alfalfa, <span class="html-italic">M. truncatula</span>, and <span class="html-italic">A. thaliana</span>, respectively.</p>
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<p>Phylogenetic relationships and structural characteristics of <span class="html-italic">ICE</span> genes from alfalfa, as well as the architectural features of their conserved protein motifs. (<b>A</b>) A phylogenetic tree was constructed via the neighbour-joining (NJ) method in MEGA 7. (<b>B</b>) The motifs of MsICE proteins are illustrated with different coloured boxes numbered 1–10. (<b>C</b>) Functional domain distributions of <span class="html-italic">MsICEs</span>. The coloured rectangles represent the conserved protein domains. (<b>D</b>) Alfalfa <span class="html-italic">ICE</span> genes are shown in the accompanying diagram, with light-green boxes indicating exons and black lines indicating introns.</p>
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<p>Heatmaps are presented to depict predicted <span class="html-italic">cis</span>-acting elements within the promoters of <span class="html-italic">ICE</span> family members of alfalfa, where red indicates high expression levels and blue indicates low expression levels.</p>
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<p>Collinearity analysis of <span class="html-italic">MsICE</span> genes. (<b>A</b>) Analyses of <span class="html-italic">ICE</span> gene sequences in alfalfa. Grey lines indicate synteny blocks and red lines indicate <span class="html-italic">ICE</span> genes that have been duplicated. (<b>B</b>) Genome-wide collinearity analysis for <span class="html-italic">ICE</span> genes among alfalfa and <span class="html-italic">A. thaliana</span>. Red lines indicate orthologous gene pairs.</p>
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<p>Expression profiles of 11 <span class="html-italic">MsICE</span> genes in different alfalfa tissues. The expression levels were determined via qRT–PCR, with red indicating high expression levels and blue indicating low expression levels.</p>
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<p>Relative expression levels of <span class="html-italic">MsICE</span> genes in response to different stress treatments: (<b>A</b>) Drought; (<b>B</b>) Cold; (<b>C</b>) Nacl; (<b>D</b>) Alkaline. RNA extracts from treated leaves were analyzed after 1 h, 3 h, 6 h, 12 h, and 24 h of treatment, and qRT–PCR was performed with specific primers for <span class="html-italic">MsICE</span> genes. <span class="html-italic">MsGAPDH</span> was used as an internal reference. Each time point had its own control, and the 0 h expression served as the reference. As a result of Student’s t-test, lowercase letters indicate significant differences between <span class="html-italic">MsICEs</span> at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Piplot of the PCA (<b>A</b>,<b>C</b>,<b>E</b>,<b>G</b>) describing the relationships among different stress treatment times. Piplot of the PCA (<b>B</b>,<b>D</b>,<b>F</b>,<b>H</b>) describing the relationship between gene expression treatment time and the level of gene expression.</p>
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25 pages, 3148 KiB  
Review
A Review of Flow Field and Heat Transfer Characteristics of Jet Impingement from Special-Shaped Holes
by Liang Xu, Naiyuan Hu, Hongwei Lin, Lei Xi, Yunlong Li and Jianmin Gao
Energies 2024, 17(17), 4510; https://doi.org/10.3390/en17174510 - 9 Sep 2024
Viewed by 526
Abstract
The jet impingement cooling technique is regarded as one of the most effective enhanced heat transfer techniques with a single-phase medium. However, in order to facilitate manufacturing, impingement with a large number of smooth circular hole jets is used in engineering. With the [...] Read more.
The jet impingement cooling technique is regarded as one of the most effective enhanced heat transfer techniques with a single-phase medium. However, in order to facilitate manufacturing, impingement with a large number of smooth circular hole jets is used in engineering. With the increasing maturity of additive technology, some new special-shaped holes (SSHs) may be used to further improve the cooling efficiency of jet impingement. Secondly, the heat transfer coefficient of the whole jet varies greatly on the impact target surface. The experiments with a large number of single smooth circular hole jets show that the heat transfer coefficient of the impact target surface will form a bell distribution—that is, the Nusselt number has a maximum value near the stagnation region, and then rapidly decreases exponentially in the radial direction away from the stagnation region. The overall surface temperature distribution is very uneven, and the target surface will form an array of cold spots, resulting in a high level of thermal stress, which will greatly weaken the structural strength and life of the equipment. Establishing how to ensure the uniformity of jet impingement cooling has become a new problem to be solved. In order to achieve uniform cooling, special-shaped holes that generate a swirling flow may be a solution. This paper presents a summary of the effects of holes with different geometrical features on the flow field and heat transfer characteristics of jet impingement cooling. In addition, the effect of jet impingement cooling with SSHs in different array methods is compared. The current challenges of jet impingement cooling technology with SSHs are discussed, as well as the prospects for possible future advances. Full article
(This article belongs to the Collection Advances in Heat Transfer Enhancement)
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<p>The geometry of a converging hole, straight hole, and expanded hole.</p>
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<p>The geometry of the parabolic and exponential nozzles.</p>
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<p>The configuration of the general chevron nozzle geometry.</p>
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<p>(<b>a</b>) Lobed nozzle geometry. (<b>b</b>) Computational domain.</p>
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<p>Geometry of petal-shaped lobed nozzles.</p>
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<p>The orifice of a cross-shaped nozzle.</p>
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<p>The geometric details of the designed four-channel twisted tape. (<b>a</b>) Isometric view. (<b>b</b>) Top view.</p>
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<p>The geometric details of the designed swirling generator. (<b>a</b>) Isometric view. (<b>b</b>) Top view.</p>
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<p>The geometric details of the nozzle with guide vanes. (<b>a</b>) Isometric view. (<b>b</b>)Top view.</p>
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<p>The internal geometry of the threaded nozzle [<a href="#B98-energies-17-04510" class="html-bibr">98</a>].</p>
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<p>The details of the combination array.</p>
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<p>(<b>a</b>) Cross-flow direction is parallel to the main axis. (<b>b</b>) Cross-flow direction is perpendicular to the main axis.</p>
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20 pages, 14143 KiB  
Article
AEA-RDCP: An Optimized Real-Time Algorithm for Sea Fog Intensity and Visibility Estimation
by Shin-Hyuk Hwang, Ki-Won Kwon and Tae-Ho Im
Appl. Sci. 2024, 14(17), 8033; https://doi.org/10.3390/app14178033 - 8 Sep 2024
Viewed by 384
Abstract
Sea fog reduces visibility to less than 1 km and is a major cause of maritime accidents, particularly affecting the navigation of small fishing vessels as it forms when warm, moist air moves over cold water, making it difficult to predict. Traditional visibility [...] Read more.
Sea fog reduces visibility to less than 1 km and is a major cause of maritime accidents, particularly affecting the navigation of small fishing vessels as it forms when warm, moist air moves over cold water, making it difficult to predict. Traditional visibility measurement tools are costly and limited in their real-time monitoring capabilities, which has led to the development of video-based algorithms using cameras. This study introduces the Approximating and Eliminating the Airlight–Reduced DCP (AEA-RDCP) algorithm, designed to address the issue where sunlight reflections are mistakenly recognized as fog in existing video-based sea fog intensity measurement algorithms, thereby improving performance. The dataset used in the experiment is categorized into two types: one consisting of images unaffected by sunlight and another consisting of maritime images heavily influenced by sunlight. The AEA-RDCP algorithm enhances the previously researched RDCP algorithm by effectively eliminating the influence of atmospheric light, utilizing the initial stages of the Dark Channel Prior (DCP) process to generate the Dark Channel image. While the DCP algorithm is typically used for dehazing, this study employs it only to the point of generating the Dark Channel, reducing computational complexity. The generated image is then used to estimate visibility based on a threshold for fog density estimation, maintaining accuracy while reducing computational demands, thereby allowing for the real-time monitoring of sea conditions, enhancing maritime safety, and preventing accidents. Full article
(This article belongs to the Section Marine Science and Engineering)
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<p>An example of a comparative image set for calculating the DCP percentage: (<b>a</b>) No-fog image; and (<b>b</b>) Dense-fog image.</p>
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<p>Image comparison from <a href="#applsci-14-08033-f001" class="html-fig">Figure 1</a>: Threshold estimation graph for fog classification.</p>
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<p>Example of an image with the sky region removed: (<b>a</b>) Non-Crop Image; and (<b>b</b>) Crop Image.</p>
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<p>Example of an image with significant atmospheric light influence in the sea region.</p>
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<p>Processing of the proposed fog intensity measurement algorithm.</p>
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<p>Dataset for obtaining the atmospheric light estimation threshold.</p>
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<p>Comparison image when pixel value is set to 0: (<b>a</b>) Example of an image with pixel values of the top 0.1% set to 0; (<b>b</b>) Example of an image with peripheral patches of the top 0.1% set to 0.</p>
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<p>Example of patch size application using a blue frame.</p>
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<p>Dataset (a): Example image sets of Baengnyeongdo classified by sea fog strength: No-fog, Low-vis, Fog, and Dense-fog.</p>
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<p>Dataset (b): Image set with strong influence of atmospheric light.</p>
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<p>Location of the image sets: Blue for Dataset (a), Red for Dataset (b).</p>
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<p>Example images of clear days from the datasets in <a href="#applsci-14-08033-f009" class="html-fig">Figure 9</a> and <a href="#applsci-14-08033-f010" class="html-fig">Figure 10</a>: (<b>a</b>) image on a clear day without atmospheric light interference; and (<b>b</b>) image on a clear day with significant atmospheric light interference.</p>
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<p>Compare the graph when you remove the original image and the sky area: (<b>a</b>) Non-Crop Image; and (<b>b</b>) Crop Image.</p>
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<p>Image set without the effect of atmospheric light—graph comparison between crop image and excluded image (Baengyeong Island): (<b>a</b>) Crop Image; and (<b>b</b>) Crop Image/Excluded Airlight.</p>
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<p>Image set without the effect of atmospheric light—graph comparison between crop image and excluded image (Pyeongtaek): (<b>a</b>) Crop Image; and (<b>b</b>) Crop Image/Excluded Airlight.</p>
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<p>Image set without the effect of atmospheric light—graph comparison between crop image and excluded image (Ji Island): (<b>a</b>) Crop Image; and (<b>b</b>) Crop Image/Excluded Airlight.</p>
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<p>Image set without the effect of atmospheric light—graph comparison between crop image and excluded image (Ganghwa Island): (<b>a</b>) Crop Image; and (<b>b</b>) Crop Image/Excluded Airlight.</p>
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<p>Image set with the effect of atmospheric light: graph comparison between Crop Image and Crop Image excluding atmospheric light.</p>
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<p>Comparison of graphs of images with strong effects of atmospheric light: (<b>a</b>) Original Image, (<b>b</b>) Crop Image, and (<b>c</b>) Excluded Airlight.</p>
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<p>An image set showing the changes in sea fog conditions over time.</p>
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<p>DCP percentage graph over time.</p>
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28 pages, 11658 KiB  
Article
A Novel Battery Temperature-Locking Method Based on Self-Heating Implemented with an Original Driving Circuit While Electric Vehicle Driving: A Numerical Investigation
by Wei Li, Shusheng Xiong and Wei Shi
World Electr. Veh. J. 2024, 15(9), 408; https://doi.org/10.3390/wevj15090408 - 6 Sep 2024
Viewed by 364
Abstract
In extremely cold environments, when battery electric vehicles (BEVs) are navigating urban roads at low speeds, the limited heating capacity of the on-board heat pump system and positive temperature coefficient (PTC) device can lead to an inevitable decline in battery temperature, potentially falling [...] Read more.
In extremely cold environments, when battery electric vehicles (BEVs) are navigating urban roads at low speeds, the limited heating capacity of the on-board heat pump system and positive temperature coefficient (PTC) device can lead to an inevitable decline in battery temperature, potentially falling below its permissible operating range. This situation can subsequently result in vehicle malfunctions and, in severe cases, traffic accidents. Henceforth, a novel battery self-heating method during driving is proposed to maintain battery temperature. This approach is ingeniously embedded within the heating mechanism within the motor driving system without any necessity to alter or modify the existing driving circuitry. In the meantime, the battery voltage can be regulated to prevent it from surpassing the limit, thereby ensuring the battery’s safety. This method introduces the dead zone into the space vector pulse width modulation (SVPWM) algorithm to form the newly proposed dSVPWM algorithm, which successfully changes the direction of the bus current in a PWM period and forms AC, and the amplitude of the battery alternating current (AC) can also be controlled by adjusting the heating intensity defined by the ratio of the dead zone and the compensation vector to the original zero vector. Through the Simulink model of the motor driving system, the temperature hysteresis locking strategy, grounded in the field-oriented control (FOC) method and employing the dSVPWM algorithm, has been confirmed to provide controllable and sufficiently stable motor speed regulation. During the low-speed phase of the China Light Vehicle Test Cycle (CLTC), the battery temperature fluctuation is meticulously maintained within a range of ±0.2 °C. The battery’s minimum temperature has been successfully locked at around −10 °C. In contrast, the battery temperature would decrease by a significant 1.44 °C per minute without the implementation of the temperature-locking strategy. The voltage of the battery pack is always regulated within the range of 255~378 V. It remains within the specified upper and lower thresholds. The battery voltage overrun can be effectively avoided. Full article
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<p>Principle of FOC of three-phase PMSM: (<b>a</b>) circuit topology of the inverter; (<b>b</b>) basic voltage vector diagram.</p>
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<p>Schematic of the reverse current in FOC: (<b>a</b>) the current of each phase at vector U1; (<b>b</b>) the current of each phase in the dead zone.</p>
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<p>A spatial vector composition method with dead zones.</p>
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<p>Switching waveform and vector composition of dSVPWM in one period.</p>
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<p>Small-scale motor driving system test bench.</p>
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<p>Powertrain models of a BEV in Simulink.</p>
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<p>Motor speed and load torque calculated according to the low-speed period of CLTC.</p>
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<p>Control structure of hysteresis control for temperature locking during vehicle driving.</p>
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<p>Flow chart of hysteresis control for temperature locking during vehicle driving.</p>
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<p>Comparison of the battery current calculated by the model and measured in the experiment based on SVPWM at a fixed speed of 500 r/min: (<b>a</b>) simulation data, (<b>b</b>) experimental data.</p>
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<p>Comparison of the battery current calculated by the model and measured in the experiment based on SVPWM at a fixed speed of 1000 r/min: (<b>a</b>) simulation data, (<b>b</b>) experimental data.</p>
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<p>Comparison of the battery current calculated by the model and measured in the experiment based on SVPWM at a fixed speed of 1500 r/min: (<b>a</b>) simulation data, (<b>b</b>) experimental data.</p>
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<p>The effect of the dSVPWM algorithm on modifying the battery current in the experiment: (<b>a</b>) b<sub>n</sub> = 0, (<b>b</b>) b<sub>n</sub> = 20%, (<b>c</b>) b<sub>n</sub> = 50%.</p>
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<p>Comparison of motor phase current: (<b>a</b>) SVPWM algorithm, (<b>b</b>) dSVPWM algorithm.</p>
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<p>Comparison of battery current: (<b>a</b>) SVPWM algorithm, (<b>b</b>) dSVPWM algorithm at high speed, (<b>c</b>) local magnification of (<b>b</b>), (<b>d</b>) dSVPWM algorithm at low speed.</p>
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<p>Comparison of battery current: (<b>a</b>) SVPWM algorithm, (<b>b</b>) dSVPWM algorithm at high speed, (<b>c</b>) local magnification of (<b>b</b>), (<b>d</b>) dSVPWM algorithm at low speed.</p>
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<p>Step response to torque loads at medium or high speed: (<b>a</b>) SVPWM algorithm, (<b>b</b>) dSVPWM algorithm.</p>
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<p>Step response to torque loads at low speed: (<b>a</b>–<b>c</b>) dSVPWM algorithm at different b<sub>n</sub>, (<b>d</b>) SVPWM algorithm.</p>
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<p>Motor torque ripple at low speed: (<b>a</b>–<b>c</b>) dSVPWM algorithm at different b<sub>n</sub>, (<b>d</b>) SVPWM algorithm simulation results of temperature-locking strategy under CLTC driving conditions.</p>
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<p>Simulation results using a fragment of the CLTC condition: (<b>a</b>) motor speed, (<b>b</b>) battery current, (<b>c</b>) battery voltage, (<b>d</b>) battery temperature and b<sub>n</sub>.</p>
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15 pages, 1701 KiB  
Review
Fenugreek Galactomannan and Its Versatile Applications
by Vanya Nalbantova, Niko Benbassat and Cédric Delattre
Polysaccharides 2024, 5(3), 478-492; https://doi.org/10.3390/polysaccharides5030030 - 6 Sep 2024
Viewed by 346
Abstract
Fenugreek (Trigonella foenum-graecum L.) is an annual, dicotyledonous medicinal plant which belongs to the Leguminosae family, and its leaves and seeds are widely used and cultivated throughout the world. Their widespread utilization is attributed to the great variety of primary and secondary [...] Read more.
Fenugreek (Trigonella foenum-graecum L.) is an annual, dicotyledonous medicinal plant which belongs to the Leguminosae family, and its leaves and seeds are widely used and cultivated throughout the world. Their widespread utilization is attributed to the great variety of primary and secondary metabolites they contain, such as flavonoids, alkaloids, steroidal saponins, tannins, as well as carbohydrates, in particular galactomannan, which is the focus of the current study. The presence of an equal number of galactose and mannose residues (Gal/Man ratio of 1:1) prevents the formation of hydrogen bonds between the mannose ones. This determines the good solubility of fenugreek galactomannan in cold water, even at low concentrations. The water solubility would be significantly better than that of carob and even slightly higher than that of guar gum, precisely due to their structural characteristics, which contribute to their possible advantages. Moreover, it is a good alternative as an excipient for the development of pharmaceutical dosage forms, as well as in the preparation of food products, affecting not only their structure but also their shelf life. Furthermore, it has promising applications not only in the fields of medicine and pharmaceutics but also offers environmental benefits. All of the above-mentioned factors are of high interest and qualify fenugreek galactomannan as a versatile polysaccharide, which is the reason for summarizing its benefits in this review. Full article
(This article belongs to the Collection Bioactive Polysaccharides)
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<p>Fenugreek galactomannan structure.</p>
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<p>Fenugreek galactomannan applications.</p>
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<p>Fenugreek galactomannan biological activities.</p>
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18 pages, 28496 KiB  
Article
Verification of Numerical Models of High Thin-Walled Cold-Formed Steel Purlins
by Přemysl Pařenica, Martin Krejsa, Jiří Brožovský and Petr Lehner
Materials 2024, 17(17), 4392; https://doi.org/10.3390/ma17174392 - 5 Sep 2024
Viewed by 464
Abstract
High thin-walled cold-formed steel purlins of the Z cross section are important elements of large-span steel structures in the construction industry. The present numerical study uses the finite element method to analyse the 300 mm and 350 mm high Z cross sections in-depth. [...] Read more.
High thin-walled cold-formed steel purlins of the Z cross section are important elements of large-span steel structures in the construction industry. The present numerical study uses the finite element method to analyse the 300 mm and 350 mm high Z cross sections in-depth. The prepared numerical models are verified and validated at several levels with experiments that have been previously published. Significant agreement between the numerical models and the experimental results regarding Mises stress, proportional strain, failure mode, and force-deformation diagram have been obtained. With the verification, the presented procedure and partial findings can be applied to other similar problems. The results can be used to help research and corporate groups optimise the structural design of cold-formed thin-walled steel structures. Full article
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<p>Photos of the test setup—the placement of the upside-down purlins and support matches the needs of the experiment.</p>
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<p>Numerical model purlins with support element and clip—finite element mesh display.</p>
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<p>Stress–strain diagram.</p>
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<p>Comparison of force-displacement diagrams from experiment and numerical models.</p>
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<p>Detail on the support with a clip after reaching the load-bearing capacity (<b>a</b>). Von Mises stresses in the range of 0–440 MPa of the support with a clip from the numerical model (<b>b</b>). Detail on the support without a clip after reaching the load-bearing capacity (<b>c</b>). Von Mises stresses in the range 0–440 MPa on the support without a clip from the numerical model (<b>d</b>). Plastic strain in the deformed region of thin-walled purlins after reaching the load-bearing capacity: (<b>e</b>) with reinforcing clip, (<b>f</b>) without clip.</p>
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<p>Comparison of force-displacement diagrams from experiment and numerical model.</p>
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<p>Detail on the support with a clip after reaching the load-bearing capacity (<b>a</b>). Von Mises stresses in the range of 0–440 MPa of the support with a clip from the numerical model (<b>b</b>). Detail on the support without a clip after reaching the load-bearing capacity (<b>c</b>). Von Mises stresses in the range 0–440 MPa on the support without a clip from the numerical model (<b>d</b>). Plastic strain in the deformed region of thin-walled purlins after reaching the load-bearing capacity: (<b>e</b>) with reinforcing clip, (<b>f</b>) without clip.</p>
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<p>Comparison of force-displacement diagrams from experiment and numerical model.</p>
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<p>Detail on the support with a clip after reaching the load-bearing capacity (<b>a</b>). Von Mises stresses in the range of 0–440 MPa of the support with clip from the numerical model (<b>b</b>). Detail on the support without a clip after reaching the load-bearing capacity (<b>c</b>). Von Mises stresses in the range 0–440 MPa of the support without a clip from the numerical model (<b>d</b>). Plastic strain in the deformed region of thin-walled purlins after reaching the load-bearing capacity: (<b>e</b>) with reinforcing clip, (<b>f</b>) without clip.</p>
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<p>Comparison of force-displacement diagrams from experiment and numerical model.</p>
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<p>Detail on the support with a clip after reaching the load-bearing capacity (<b>a</b>). Von Mises stresses in the range of 0–440 MPa of the support with a clip from the numerical model (<b>b</b>). Detail on the support without a clip after reaching the load-bearing capacity (<b>c</b>). Von Mises stresses in the range 0–440 MPa of the support without a clip from the numerical model (<b>d</b>). Plastic strain in the deformed region of thin-walled purlins after reaching the load-bearing capacity: (<b>e</b>) with reinforcing clip, (<b>f</b>) without clip.</p>
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<p>Comparison of force-displacement diagrams from experiment and numerical model.</p>
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<p>Detail on the support with a clip after reaching the load-bearing capacity (<b>a</b>). Von Mises stresses in the range of 0–440 MPa of the support with a clip from the numerical model (<b>b</b>). Detail on the support without a clip after reaching the load-bearing capacity (<b>c</b>). Von Mises stresses in the range 0–440 MPa of the support without a clip from the numerical model (<b>d</b>). Plastic strain in the deformed region of thin-walled purlins after reaching the load-bearing capacity: (<b>e</b>) with reinforcing clip, (<b>f</b>) without clip.</p>
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<p>Comparison of force-displacement diagrams from experiment and numerical model. The experiment without a clip was not performed, so the results are not presented.</p>
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<p>Detail on the support with a clip after reaching the load-bearing capacity (<b>a</b>). Von Mises stresses in the range of 0–440 MPa of the support with a clip from the numerical model (<b>b</b>). Model of the cross section of the support without a clip (<b>c</b>). Von Mises stresses in the range 0–440 MPa of the support without a clip from the numerical model (<b>d</b>). Plastic strain in the deformed region of thin-walled purlins after reaching the load-bearing capacity: (<b>e</b>) with reinforcing clip, (<b>f</b>) without clip.</p>
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<p>Comparison of force-displacement diagrams from experiment and numerical model.</p>
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<p>Detail on the support with a clip after reaching the load-bearing capacity (<b>a</b>). Von Mises stresses in the range of 0–440 MPa of the support with a clip from the numerical model (<b>b</b>). Detail on the support without a clip after reaching the load-bearing capacity (<b>c</b>). Von Mises stresses in the range 0–440 MPa of the support without a clip from the numerical model (<b>d</b>). Plastic strain in the deformed region of thin-walled purlins after reaching the load-bearing capacity: (<b>e</b>) with reinforcing clip, (<b>f</b>) without clip.</p>
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<p>Comparison of force-displacement diagrams from experiment and numerical model.</p>
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<p>Detail on the support with a clip after reaching the load-bearing capacity (<b>a</b>). Von Mises stresses in the range of 0–440 MPa of the support with a clip from the numerical model (<b>b</b>). Detail on the support without a clip after reaching the load-bearing capacity (<b>c</b>). Von Mises stresses in the range 0–440 MPa of the support without a clip from the numerical model (<b>d</b>). Plastic strain in the deformed region of thin-walled purlins after reaching the load-bearing capacity: (<b>e</b>) with reinforcing clip, (<b>f</b>) without clip.</p>
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<p>Comparison of force-displacement diagrams from experiment and numerical model.</p>
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<p>Detail on the support with a clip after reaching the load-bearing capacity (<b>a</b>). Von Mises stresses in the range of 0–440 MPa of the support with a clip from the numerical model (<b>b</b>). Detail on the support without a clip after reaching the load-bearing capacity (<b>c</b>). Von Mises stresses in the range 0–440 MPa of the support without a clip from the numerical model (<b>d</b>). Plastic strain in the deformed region of thin-walled purlins after reaching the load-bearing capacity: (<b>e</b>) with reinforcing clip, (<b>f</b>) without clip.</p>
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<p>Comparison of force-displacement diagrams from experiment and numerical model.</p>
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<p>Detail on the support with a clip after reaching the load-bearing capacity (<b>a</b>). Von Mises stresses in the range of 0–440 MPa of the support with a clip from the numerical model (<b>b</b>). Detail on the support without a clip after reaching the load-bearing capacity (<b>c</b>). Von Mises stresses in the range 0–440 MPa of the support without a clip from the numerical model (<b>d</b>). Plastic strain in the deformed region of thin-walled purlins after reaching the load-bearing capacity: (<b>e</b>) with reinforcing clip, (<b>f</b>) without clip.</p>
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12 pages, 2237 KiB  
Article
Revealing the Intrinsic Mechanisms of Hot and Cold Spots within a Locally Shaded Photovoltaic Module Based on Micro-Electrical Characteristics
by Zhihan Liu, Yongshuai Gong, Zixuan Wang, Yingfeng Li and Dongxue Liu
Energies 2024, 17(17), 4462; https://doi.org/10.3390/en17174462 - 5 Sep 2024
Viewed by 311
Abstract
Hot-spot generation is critical to the performance and lifespan of photovoltaic (PV) modules; however, the underlying mechanisms of hot-spot formation have not been fully elucidated. This work conducted a localized shading test on a PV module, measured the micro-electrical characteristics and temperature distributions [...] Read more.
Hot-spot generation is critical to the performance and lifespan of photovoltaic (PV) modules; however, the underlying mechanisms of hot-spot formation have not been fully elucidated. This work conducted a localized shading test on a PV module, measured the micro-electrical characteristics and temperature distributions of both the shaded and unshaded cells, calculated the heat-source power densities, and then predicted the occurrence and locations of hot and cold spots via numerical simulations. It was found that, under an irradiance of 750 W/m2, when one cell in a PV module is shaded by 1/2, the unshaded area within the shaded cell exhibited a hot spot, with the temperature reaching up to 77.66 °C, approximately 22.5 °C higher than the surrounding cells. The intrinsic mechanism for the occurrence of the hot spot is that, compared with the unshaded cells, the unshaded portion of the shaded cell can generate an extra significantly large Joule heat power density, about 1079.62 W/m2. The reason for generating such a large Joule heat power density is that this portion is in a reverse-bias state with a high current density flowing through it, according to our measurements. In contrast, the shaded portion forms a cold spot, about 7.5 °C cooler than the surrounding cells. This is because the shaded portion can only generate a Joule heat power density of about 46.98 W/m2 due to the small reverse-bias current density flowing through it and fails to absorb heat from solar irradiance, which is about 645 W/m2. Moreover, this work demonstrates that the hot-spot temperature initially rises and then decreases with increasing shading ratio, with the highest temperatures and the most pronounced temperature changes occurring around a shading ratio of 1/2. The presented method can be also used to evaluate the performance and reliability of various other PV modules under local shading conditions. Full article
(This article belongs to the Section A2: Solar Energy and Photovoltaic Systems)
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<p>Research process.</p>
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<p>Energy flows at different positions within the locally shaded PV module.</p>
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<p>(<b>a</b>) The relationship between average temperature and irradiance, and (<b>b</b>) the relationship between heat-source power density and irradiance, at different positions in the PV module when <span class="html-italic">R</span> = 1/2.</p>
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<p>At an irradiance of 750 W/m<sup>2</sup>, (<b>a</b>) the relationship between the highest temperature and the shading ratio at various positions of the PV module is shown, as well as (<b>b</b>) the relationship between heat-source power density and the shading ratio at different positions of the PV module. T<sub>a</sub> denotes the ambient temperature.</p>
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<p>The temperature distribution in the PV module when <span class="html-italic">R</span> = 1/2 and <span class="html-italic">P<sub>In</sub></span> = 750 W/m<sup>2</sup>.</p>
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20 pages, 9239 KiB  
Article
Numerical Evaluation of Hot Air Recirculation in Server Rack
by Nelson Bafana Madihlaba and Thokozani Justin Kunene
Appl. Sci. 2024, 14(17), 7904; https://doi.org/10.3390/app14177904 - 5 Sep 2024
Viewed by 232
Abstract
In air-cooled data centers, hot aisle containment is used to separate hot and cold air from mixing to improve cooling effectiveness. However, this creates a significant pressure imbalance between the cold and hot aisles, with the latter being high. The hot aisle high [...] Read more.
In air-cooled data centers, hot aisle containment is used to separate hot and cold air from mixing to improve cooling effectiveness. However, this creates a significant pressure imbalance between the cold and hot aisles, with the latter being high. The hot aisle high pressure creates bac pressure that pushes against the server-unit fan system, which subsequently results in hot recirculation and insufficient server-unit cooling. This study examines the application of series-configured server fans with the intention of increasing the system pressure head to overcome the hot aisle containment back pressure and eliminate server hot air recirculation. A detailed computational fluid dynamics model for the Dell 2950 2U server is calibrated and validated using existing experimental test results. Furthermore, the impact of changing the server fan system to a series configuration by adding four or more server fans is investigated under different hot-aisle pressure conditions. It was found that changing the server fan system configuration from parallel to series arrangement positively improved the available system static pressure, but it did not result in the elimination of hot air recirculation. The server with the series-configured fan system experienced an average inlet air temperature increase of 9% when compared to the original server under similar conditions. This study serves as a base for integrating liquid and air-cooling systems to form hybrid cooling systems for high-density racks in legacy data centers. Full article
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<p>Formation of hotspots in air-cooled data centers; permissions republished with permission from Zhao et al. Elsevier (2023) published a critical review of the thermal management of data centers for local hotspot elimination was published by Elsevier (2023) [<a href="#B11-applsci-14-07904" class="html-bibr">11</a>].</p>
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<p>(<b>a</b>) Hardware setup and scanner calibration and (<b>b</b>) pressure-flow distribution curve of series and parallel axial fans. Permissions were republished with permission from Wang C. A noise source analysis of two identical small axial flow fans in series under operating conditions was published by Elsevier (2017) [<a href="#B22-applsci-14-07904" class="html-bibr">22</a>].</p>
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<p>Scanning in progress (data quality indicators).</p>
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<p>Meshing and data editing.</p>
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<p>Meshed model.</p>
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<p>(<b>a</b>) Isometric external view of the CAD model (detailed in Autodesk) and (<b>b</b>) isometric internal view without a cover of the CAD model (detailed in Autodesk).</p>
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<p>(<b>a</b>) Local coordinate system for parallel virtual disks and (<b>b</b>) local coordinate system for series virtual disks.</p>
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<p>PyGCS output in a “Markdown format,” indicating the optimal selection of grid 2.</p>
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<p>Hexagonal mesh element of domain at 1,799,871 cells.</p>
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<p>Variation of IPMI IAT for experimental measurements and CFD results against back pressure [<a href="#B10-applsci-14-07904" class="html-bibr">10</a>].</p>
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<p>Available system head-pressure comparison between parallel and series fan configuration at 6800 rpm speed and 10 Pa backpressure.</p>
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<p>Available system head-pressure comparison between parallel and series fan configuration at 6800 rpm speed and 0 Pa back pressure.</p>
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<p>(<b>a</b>) Velocity magnitude streamlines comparison between parallel and (<b>b</b>) series fan configurations at 6800 rpm speed and 0 Pa back pressure.</p>
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<p>(<b>a</b>) System pressure for parallel and (<b>b</b>) series fan configuration at 6800 rpm speed and −10 Pa to 20 Pa back pressure.</p>
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<p>Inlet and outlet air temperature comparison between parallel and series fan configurations with variation in back pressure. The server fan system speed is kept at 6800 rpm.</p>
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