Advanced Engineering Materials最新文献_第2页

Thermo-Mechanical Study on Auxetic Shape Memory Periodic Open Cellular Structures—Part I: Characterization of Reentrant Geometry and Effective Heat Conductivity

IF 3.4 3区材料科学

Advanced Engineering Materials Pub Date : 2024-11-20 DOI: 10.1002/adem.202401717

Dominik Rudolf, Alexander Fink, Carolin Körner, Hannsjörg Freund

{"title":"Thermo-Mechanical Study on Auxetic Shape Memory Periodic Open Cellular Structures—Part I: Characterization of Reentrant Geometry and Effective Heat Conductivity","authors":"Dominik Rudolf, Alexander Fink, Carolin Körner, Hannsjörg Freund","doi":"10.1002/adem.202401717","DOIUrl":"https://doi.org/10.1002/adem.202401717","url":null,"abstract":"Periodic open cellular structures (POCS) are additively manufactured supports for heterogeneous catalysts in the field of chemical reaction engineering. Constructed from a repeated unit cell, POCS offer excellent heat transport characteristics due to heat conduction in the continuous solid matrix. However, when inserted into tubular reactors, a loose fit between structure and tube wall results. This considerably hinders heat transfer across the wall. The novel POCS concept presented in this work aims at an intensified wall heat transfer by utilizing a reentrant structure design to ensure auxetic behavior. If the POCS is made of shape memory alloy, it can recover its original shape. Combining these two effects with an initial radial oversize, an interference fit with the tube is established. This contribution comprises the geometric description of reentrant POCS and heat conduction simulations for characterization of the effective heat conductivity, yielding scaling correlations dependent on geometric parameters. Moreover, the effective radial heat conductivity of POCS in cylindrical shape is explicitly investigated. The influencing factor identified is the ratio of tube diameter and cell size: while the ratio increases, the effective radial heat conductivity decreases, but remains well above the effective heat conductivity of the unit cell.","PeriodicalId":7275,"journal":{"name":"Advanced Engineering Materials","volume":"26 24","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adem.202401717","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Drop-Weight Impact Resistance of 3D-Printed Complex Zeolite-Inspired Structures 三维打印复杂沸石启发结构的抗滴重冲击性能

IF 3.4 3区材料科学

Advanced Engineering Materials Pub Date : 2024-11-20 DOI: 10.1002/adem.202470062

Rushikesh S. Ambekar, Eliezer F. Oliveira, Piraisoodan Pugazhenthi, Shatrughan Singh, Debiprosad Roy Mahapatra, Douglas S. Galvao, Chandra S. Tiwary

引用次数: 0

Residual Stress Analysis in High-Speed Physical Vapor Deposition Coatings

IF 3.4 3区材料科学

Advanced Engineering Materials Pub Date : 2024-11-20 DOI: 10.1002/adem.202401095

Kirsten Bobzin, Christian Kalscheuer, Max Philip Möbius, Parisa Hassanzadegan Aghdam

{"title":"Residual Stress Analysis in High-Speed Physical Vapor Deposition Coatings","authors":"Kirsten Bobzin, Christian Kalscheuer, Max Philip Möbius, Parisa Hassanzadegan Aghdam","doi":"10.1002/adem.202401095","DOIUrl":"https://doi.org/10.1002/adem.202401095","url":null,"abstract":"Several studies focus on impact of residual stress in coatings, predominantly those synthesized by conventional physical vapor deposition (PVD) techniques like arc PVD and magnetron sputtering. High-speed PVD (HS-PVD) is based on hollow cathode gas flow sputtering, enabling the deposition of thick coatings s > 20 μm in contrast to the mentioned processes, where coating thickness is limited due to compressive residual stresses. Therefore, the effect of residual stresses on HS-PVD coatings and adhesion was analyzed for the first time. The aim is to evaluate the influence of diverse substrate materials, different coating systems, and process parameters on the residual stress states in HS-PVD coatings. Different coating systems like AlCrN and AlCrO are deposited at different reactive gas flows, coating times, and bias voltages. The residual stress of oxide coatings, deposited on cemented carbide and steel X40CrMoV5–1, is analyzed using X-ray diffraction (XRD) and the sin2ψ method. For AlCrN coatings, in addition to the XRD method, the residual stresses are measured by focused ion-beam-digital image correlation ring-core method to investigate different measuring methods. Both coating systems show higher adhesion strength with increasing thickness. Lower residual compressive stresses are unexpectedly observed at higher coating thickness using both analysis methods.","PeriodicalId":7275,"journal":{"name":"Advanced Engineering Materials","volume":"26 24","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adem.202401095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142851381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mechanical Behaviour, Contact Pose Estimation, and Finite Element Analysis of Vision Based Tactile Sensors Fabricated by Molding and Direct Ink Writing: A Comparative Study 基于视觉的触觉传感器的机械行为、接触姿势估计和有限元分析：比较研究

IF 3.4 3区材料科学

Advanced Engineering Materials Pub Date : 2024-11-20 DOI: 10.1002/adem.202470059

Abdullah Solayman, Mohamad Halwani, Islam Mohamed Zaid, Rohan B. Ambade, Rui Chang, Abdulla Ayyad, Fahad AlMaskari, Yahya Zweiri, Yarjan Abdul Samad

引用次数: 0

A Time-Saving Method for Evaluating the Fatigue Strength of Carburized High-Alloy Steel Containing Carbides

IF 3.4 3区材料科学

Advanced Engineering Materials Pub Date : 2024-11-20 DOI: 10.1002/adem.202402041

Zikuan Xu, Xuezhong Gu, Xiaolong Liu, Weihao Chen, Bin Wang, Peng Zhang, Maosheng Yang, Hongxiao Chi, Zhefeng Zhang

{"title":"A Time-Saving Method for Evaluating the Fatigue Strength of Carburized High-Alloy Steel Containing Carbides","authors":"Zikuan Xu, Xuezhong Gu, Xiaolong Liu, Weihao Chen, Bin Wang, Peng Zhang, Maosheng Yang, Hongxiao Chi, Zhefeng Zhang","doi":"10.1002/adem.202402041","DOIUrl":"https://doi.org/10.1002/adem.202402041","url":null,"abstract":"To propose a time-saving method for evaluating the fatigue strength of carburized steel, the fatigue behavior and fracture mechanism of carburized 14Cr14Co13Mo5 steels are studied by the rotary bending fatigue tests. It is found that the fatigue crack initiation site changes from surface to internal after carburizing due to the residual compressive stress and carbide cluster caused by the carburization. Besides, a notable correlation between the stress intensity of the cracked carbides at fatigue crack initiation site and fatigue life is observed in the carburized samples. This correlation allows for the estimation of fatigue strength at long conditional life based on samples tested at relatively high stress amplitudes with short lives, achieving a prediction error within 10% for the material studied. A significant time saving of ≈65% compared to the staircase method is achieved. The proposed method has significant implications for improving the efficiency fatigue strength evaluation in carburized steels containing carbides.","PeriodicalId":7275,"journal":{"name":"Advanced Engineering Materials","volume":"26 24","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862017","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Printing Completely Conformal Liquid Metal Circuits on Arbitrary Curved Surfaces via Customized Conformal Mask 通过定制共形掩模在任意曲面上打印完全共形的液态金属电路

IF 3.4 3区材料科学

Advanced Engineering Materials Pub Date : 2024-11-20 DOI: 10.1002/adem.202470060

Jiayun Chen, Bochuan Jiang, Shaotong Dong, Min Li, Yinji Ma, Shuo Zhang, Yuhang Li

引用次数: 0

Ensemble Feature Selection for Clustering Damage Modes in Carbon Fiber-Reinforced Polymer Sandwich Composites Using Acoustic Emission 利用声发射对碳纤维增强聚合物夹层复合材料中的损伤模式进行聚类的集合特征选择

IF 3.4 3区材料科学

Advanced Engineering Materials Pub Date : 2024-11-20 DOI: 10.1002/adem.202470063

Abdulkadir Gulsen, Burak Kolukisa, Umut Caliskan, Burcu Bakir-Gungor, Vehbi Cagri Gungor

引用次数: 0

Convolutional Neural Network-Based Regression Model for Distribution Data from X-Ray Radiographs of Metallic Foams

IF 3.4 3区材料科学

Advanced Engineering Materials Pub Date : 2024-11-20 DOI: 10.1002/adem.202401128

Tristan E. Kammbach, Paul H. Kamm, Tillmann R. Neu, Francisco García-Moreno

{"title":"Convolutional Neural Network-Based Regression Model for Distribution Data from X-Ray Radiographs of Metallic Foams","authors":"Tristan E. Kammbach, Paul H. Kamm, Tillmann R. Neu, Francisco García-Moreno","doi":"10.1002/adem.202401128","DOIUrl":"https://doi.org/10.1002/adem.202401128","url":null,"abstract":"The difficult determination of morphological properties in metal foams stands behind the reasons why metal foams are not widely used in industry, since quality control of the batches produced is limited to destructive methods. To approach this challenge, a new method of analysis of morphological properties based on 2D X-Ray radiograms and the employment of a new Convolutional Neural Network architecture is proposed. The training of this model is based on a combined approach of simulating simplified foams as pretraining data and the acquisition of real experimental data, extracted from X-Ray computer tomographies. The network is trained successfully with 41 foams to obtain predictions for cell size distribution between 0.3 and 5 mm, as well as sphericities in ranges from 0.4 to 1. In addition, tests are carried out to get an insight into the robustness of the model when confronted with similar data that are not included in the training process. It is found that the effectiveness of the neural network increases with a larger number of cells in the observed volume where above 500 cells per volume 92.5% of sphericity predictions and 99.4% of cell size predictions passed the Kolmogorov-Smirnov test.","PeriodicalId":7275,"journal":{"name":"Advanced Engineering Materials","volume":"26 24","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adem.202401128","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142862014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced and Sustainable Indoor Carbon Dioxide Monitoring by Using Ambient Light to Power Advanced Biological Sensors

IF 3.4 3区材料科学

Advanced Engineering Materials Pub Date : 2024-11-19 DOI: 10.1002/adem.202401875

Anwar Elhadad, Yang Gao, Seokheun Choi

{"title":"Enhanced and Sustainable Indoor Carbon Dioxide Monitoring by Using Ambient Light to Power Advanced Biological Sensors","authors":"Anwar Elhadad, Yang Gao, Seokheun Choi","doi":"10.1002/adem.202401875","DOIUrl":"https://doi.org/10.1002/adem.202401875","url":null,"abstract":"Enhancing carbon dioxide (CO2) detection is crucial for improving indoor air quality and environmental surveillance. Traditional CO2 sensors face drawbacks like high costs, large sizes, environmental impact, and reliance on external power, limiting their practicality for continuous indoor monitoring. In this research, an innovative indoor CO2-sensing system using a self-powered bio-solar cell (BSC) platform is introduced. Utilizing cyanobacteria as a sensitive biocatalyst and sustainable power source, the system offers a cost-effective, eco-friendly, and maintenance-free alternative to conventional sensors. It operates by monitoring electron-transfer processes in cyanobacteria during photosynthesis, converting CO2 and water into oxygen and chemical energy, enabling accurate CO2 level monitoring. The system responds to CO2 fluctuations and issues alerts when levels are outside the recommended range of 500–1000 ppm for human health and productivity. A self-sustaining configuration of eight BSCs—one for sensing and others for power generation—ensures continuous operation without external power. An integrated energy-harvesting board efficiently manages power distribution to a microcontroller and display system for real-time data visualization, with the array producing up to 400 μW. Additionally, a machine-learning model interprets BSC outputs to accurately quantify CO2 levels, enhancing the sensor's adaptive performance.","PeriodicalId":7275,"journal":{"name":"Advanced Engineering Materials","volume":"26 24","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adem.202401875","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Soft Phononic Crystal with Tunable Bandgap Through Pneumatic Actuation 通过气动致动实现带隙可调的软声波晶体

IF 3.4 3区材料科学

Advanced Engineering Materials Pub Date : 2024-11-19 DOI: 10.1002/adem.202401913

Cheng Yi, Xiaohua Liu, Can Xiao, Jian Liu, Ning Chen

引用次数: 0