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Wireless,multimodal sensors for continuous measurement of pressure,temperature,and hydration of patients in wheelchair

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npj Flexible Electronics 2023年第1期7卷 479-493页

作者： Seokjoo Cho Hyeonseok Han Hyunwoo Park Sung-Uk Lee Jae-Hwan Kim Sung Woo Jeon Mengqiu Wang Raudel Avila Zhaoqian Xi Kabseok Ko Minsu Park Jungyup Lee Myungwoo Choi Je-Sang Lee Weon Gi Min Byeong-Ju Lee Soyeong Lee Jungrak Choi Jimin Gu Jaeho Park Min Seong Kim Junseong Ahn Osman Gul Chankyu Han Gihun Lee Seunghwan Kim Kyuyoung Kim Jeonghyun Kim Chang-Mo Kang Jahyun Koo Sung Soo Kwak Sungbong Kim Dong Yun Choi Seokwoo Jeon Hyung Jin Sung Yong Bae Park Minkyu Je Young Tae Cho Yong Suk Oh Inkyu Park Department of Mechanical Engineering Korea Advanced Institute of Science and TechnologyDaejeon 34141Republic of Korea School of Electrical Engineering Korea Advanced Institute of Science and TechnologyDaejeon 34141Republic of Korea Advanced 3D Printing Technology Development Division Korea Atomic Energy Research InstituteDaejeon 34057Republic of Korea Department of Electrical and Computer Engineering University of Illinois at Urbana-ChampaignUrbanaIL 61801USA State Key Laboratory of Structural Analysis for Industrial Equipment Department of Engineering MechanicsDalian University of TechnologyDalian 116023P.R.China Department of Mechanical Engineering Northwestern UniversityEvanstonIL 60208USA DUT-BSU Joint Institute Dalian University of TechnologyDalian 116023China Ningbo Institute of Dalian University of Technology Ningbo 315016China Department of Electronics Engineering Kangwon National UniversityChuncheon 24341Republic of Korea Querrey-Simpson Institute for Bioelectronics Northwestern UniversityEvanstonIL 60208USA Sibel Health Inc NilesIL 60714USA Department of Materials Science and Engineering KAIST Institute for The Nanocentury(KINC)Korea Advanced Institute of Science and TechnologyDaejeon 34141Republic of Korea Department of Rehabilitation Medicine Gimhae Hansol Rehabilitation&Convalescent HospitalGimhae 50924Republic of Korea Department of planning and development Gimhae Hansol Rehabilitation&Convalescent HospitalGimhae 50924Republic of Korea Department of rehabilitation medicine Pusan national university hospitalBusan 49241Republic of Korea Department of AI Convergence Network Ajou UniversitySuwon 16499Republic of Korea Department of Electronic Convergence Engineering Kwangwoon UniversitySeoul 01897Republic of Korea Korea Photonics Technology Institute Gwangju 61007Republic of Korea School of Biomedical Engineering Korea UniversitySeoul 02841Republic of Korea Interdisciplinary Program in Precision Public Health Korea UniversitySeoul 02841Republic of Korea Center

Individuals who are unable to walk independently spend most of the day in a *** population is at high risk for developing pressure injuries caused by ***,early diagnosis and prevention of these injuries still remain ***,we introduce battery-free,wireless,multimodal sensors and a movable system for continuous measurement of pressure,temperature,and hydration at skin *** device design includes a crack-activated pressure sensor with nanoscale encapsulations for enhanced sensitivity,a temperature sensor for measuring skin temperature,and a galvanic skin response sensor for measuring skin hydration *** movable system enables power harvesting,and data communication to multiple wireless devices mounted at skin-cushion interfaces of wheelchair users over full body *** evaluations and numerical simulations of the devices,together with clinical trials for wheelchair patients,demonstrate the feasibility and stability of the sensor system for preventing pressure injuries caused by sitting.

关键词： injuries modal mounted

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Unveiling Processing–Property Relationships in Laser Powder Bed Fusion: The Synergy of Machine Learning and High-throughput Experiments

arXiv

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arXiv 2024年

作者： Amiri, Mahsa Foumani, Zahra Zanjani Cao, Penghui Valdevit, Lorenzo Bostanabad, Ramin Materials and Manufacturing Technology Program University of California IrvineCA92697 United States Department of Mechanical and Aerospace Engineering University of California IrvineCA92697 United States Department of Materials Science and Engineering University of California IrvineCA92697 United States Department of Civil and Environmental Engineering University of California IrvineCA92697 United States

Achieving desired mechanical properties in additive manufacturing requires many experiments and a well-defined design framework becomes crucial in reducing trials and conserving resources. Here, we propose a methodology embracing the synergy between high-throughput (HT) experimentation and hierarchical machine learning (ML) to unveil the complex relationships between a large set of process parameters in Laser Powder Bed Fusion (LPBF) and selected mechanical properties (tensile strength and ductility). The HT method envisions the fabrication of small samples for rapid automated hardness and porosity characterization, and a smaller set of tensile specimens for more labor-intensive direct measurement of yield strength and ductility. The ML approach is based on a sequential application of Gaussian processes (GPs) where the correlations between process parameters and hardness/porosity are first learnt and subsequently adopted by the GPs that relate strength and ductility to process parameters. Finally, an optimization scheme is devised that leverages these GPs to identify the processing parameters that maximize combinations of strength and ductility. By founding the learning on larger "easy-to-collect" and smaller "labor-intensive" data, we reduce the reliance on expensive characterization and enable exploration of a large processing space. Our approach is material-agnostic and herein we demonstrate its application on 17-4PH stainless steel. © 2024, CC BY.

关键词： Global positioning system

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Mathematical modeling and mechanical characterization through process parameters optimization of AlMg-matrix SiC p reinforced composites produced by powder metallurgy route

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Materials Today: Proceedings 2021年 47卷 3811-3818页

作者： Dessalegn Bayu Zegeye Devendra Kumar Sinha C. Venkatesh Anil Kumar Pushkar Jha Mechanical Design and Manufacturing Engineering Program School of Mechanical Chemical and Materials Engineering ASTU Adama Ethiopia Department of Mechanical Engineering Kamla Nehru Institute of Technology Sultanpur (U.P.) India School of Mechanical Engineering KIIT University Bhubaneswar Odisha India

Aluminum-magnesium (AlMg) alloys possess many uses in the current scenario for universal use specially in aerospace, automotive, and computer industries; due to the lightweight, good identified strengths, high recyclability, and low density . In this research paper, the high-performance lightweight AlMg-matrix with different weight percentages (wt.%) of SiC particles reinforcement, high strength materials is produced by powder metallurgy (PM) technique, using Taguchi L9 orthogonal array experimental design. Analysis of the effects of the PM process parameter on porosity, actual and relative density have been investigated with the “smaller is best” formula. The porosity, as well as the actual density for both the matrix and composite specimens have been calculated with the Archimedes’ fundamental principles. The three basic processing variables in PM route, such as, pressure of compaction, sintering temperature, sintering duration and the SiC reinforcement in different wt.% were consider. The increment of SiC wt.% in the matrix results high hardness composite materials with good densification at best pressure of compaction, sintering temperature, and sintering duration. When the wt.% of SiC increases, less increment of porosity is observed for the fabricated AlMg/SiC composites. Evolutions of microstructure for the developed AlMg/SiC composites was investigated by optical microscopy.

关键词： AlMg matrix composites SiCp Powder metallurgy Taguchi method ANOVA

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Improve industrial performance based on systematic analyses of manufacturing data

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IFAC-PapersOnLine 2021年第1期54卷 709-716页

作者： M. Lisboa E. Jesus R. Seixas P. Valle F. Deschamps C. Strobel Institute of Applied Technology Solutions (InSTA) Manufacturing Engineering Graduate Program (PPGEM) Department of Mechanical Engineering (DEMEC) Federal University of Paraná (UFPR) Curitiba Brazil

This Article was written based on a systematic review of the literature considering three reference axes, Industry 4.0, Data Analytics and Predictive Maintenance, including specific combination of search terms to ensure a reasonable quantity of articles keeping adherence to the topic that is decision making based on collection and analysis of relevant data on B2B (Business to Business). The study focuses on the area of predictive maintenance, which has been strongly highlighted by the fourth industrial revolution, due to the mechanical and mainly the electronic embedded systems complexity increases in the last decades, as well as network connectivity possibilities for equipment’s data acquisition, enabling technologies for predictive maintenance as a key factor for competitiveness, reducing costs, increasing equipment’s availability, or as a servitization strategy. The article is divided into five parts, starting with the research model and selection of articles, including the proposal for a data analysis framework and the application of systematic analysis of these data, concluding with the opening of a discussion and the indication of future directions.

关键词： Industry 4.0 Industrial Internet of things (IIOT) Data Analytics Predictive Maintenance

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FIB-DIC ring-core measurement of the residual stress on HiPIMS W/Cu and Cr/Cu multilayer thin films

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Surface and Coatings technology 2024年 483卷

作者： Zeng, Zhen-Yi Nguyen, Tra Anh Khoa Dang, Nhat Minh Wu, Xiu-Wei Chen, Terry Yuan-Feng Lin, Ming-Tzer Graduate Institute of Precision Engineering National Chung Hsing University Taichung402 Taiwan REMElab Faculty of Mechanical Engineering Ho Chi Minh City University of Technology and Education Ho Chi Minh70000 Viet Nam Taiwan Semiconductor Manufacturing Co. Ltd. HsinChu300 Taiwan Department of Mechanical Engineering National Cheng Kung University Tainan70101 Taiwan Industrial and Smart Technology Program Academy of Circular Economy National Chung Hsing University Nantou 540 Taiwan

Residual stress in multilayer coatings is a complex phenomenon influenced by layer number and thickness, layer and substrate materials, deposition technique, process parameters, and working pressure. It is crucial to realize these stresses because they have a significant impact on the performance and reliability of multilayer structures in their applications. The measurement of the residual stress on multilayer thin films locally and globally is crucial. This study employed ring-core milling residual stress measurement on the High-Power Impulse Magnetron Sputtering (HiPIMS) fabricated Tungsten/Copper (W/Cu) Chromium/Copper (Cr/Cu) multilayer thin films. The displacement transformation strain was analyzed using Focused Ion Beam (FIB) ring-core milling combined with Digital Image Correlation (DIC), and the strain stress transformation calibration coefficients were analyzed through Finite Element Method (FEM) to investigate the residual stress of the thin films layer by layer. The study results indicated that the hard thin films (W, Cr) were the main source of residual stress in the multilayer thin film structure, while the soft thin film (Cu) had a lower residual stress. Having Cu as the intermediate layer was found to be effective for controlling the residual stress of thin films. The hard thin films encapsulated by the soft thin films had smaller stress values than those with hard films on the surface. In addition, the study observes the stress gradient and distribution at different depths and locations on the sample to reveal process parameters to balance between the soft and hard thin films and could help to predict the location of the damage on the multilayer thin films caused by higher stress. © 2024 Elsevier B.V.

关键词： Multilayers

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Injection Molding-Assisted Mass Production of Thermoplastic Fluoropolymer-Based Recyclable Triboelectric Nanogenerator

SSRN

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SSRN 2023年

作者： Ra, Yoonsang Lee, Jong Hyun Bang, Jiho Lee, Donghan Kam, Dongik Cho, Sumin Jang, Sunmin Yoo, Donghyeon Kim, Jong Woo Cha, Kyoung Je Choi, Dongwhi Department of Mechanical Engineering Integrated Engineering Program Kyung Hee University 1732 Deogyeong-daero Gyeonggi Yongin17104 Korea Republic of Smart Manufacturing Technology R&D Group Korea Institute of Industrial Technology Techno Sunhwan-ro Daegu320 Korea Republic of 77 Cheongam-ro Gyeongbuk Pohang37673 Korea Republic of

Triboelectric nanogenerators (TENGs) have been considered a promising energy harvester. However, the wear-induced limited lifetime of the surface structure on fluoro-polymeric contact layers of the TENG has been a critical issue in its commercialization because surface structures on soft engineering materials play a key role to enhance the generation of electricity in TENGs. After the surface structure on the polymeric contact layer is worn out, the layer is required to be replaced to new one with the intact surface structures for re-enhancing the degraded output performance of the TENG. Here in, injection molding-assisted mass production is applied to manufacture micro/nanoscale surface-structured perfluoroalkoxy alkane (PFA) contact layers, which exhibits easily replaceable but fully recyclable characteristics. The optimized production time shorter than 1 min and unit cost under $1 of manufacturing surface-structured PFA contact layers are achieved. The manufactured PFA contact layer can be facilely replaced with a new one before the end of its lifetime for maintaining the electrical output of the TENG and the post-used one can be fully recycled via reprocessing as the material for injection molding. Consequently, a tile floor based TENG is proposed as a proof-of-concept demonstration to show environmentally friendly and closed-loop production of TENGs. © 2023, The Authors. All rights reserved.

关键词： Nanogenerators

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Mathematical modelling and optimization of parameters for Al-Si-Fe aluminum alloy reinforced by Al 2 O 3 and graphite particles using Taguchi method

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Materials Today: Proceedings 2021年 44卷 979-986页

作者： Robale Dinsa Daba Devendra Kumar Sinha Habtamu Beri Satyam Shivam Gautam Gulam Mohammed Sayeed Ahmed Ram Sewak Singh Program of Mechanical Design and Manufacturing Engineering School of Mechanical Chemical and Materials Engineering ASTU ADAMA Ethiopia Department of Mechanical Engineering North Eastern Regional Institute of Science and Technology Itanagar India Department of Electronics and Communication School of Electrical Engineering and Computing ASTU ADAMA Ethiopia

In the present scenario the aluminum and its alloys are preferred due to requirement of lightweight high strength material. The present research article interrogates experimentally the study of actual density and porosity using powder metallurgy method. The experimental design is done using Taguchi L 16 orthogonal array. Actual density and porosity has been analyzed based on ‘smaller is best’ basis. Actual density and porosity are calculated using Archimedes principle. The leverage of four levels and five process parameters such as weight percentage of Al 2 O 3 , weight percentage of graphite, compaction pressure, compaction time and milling time are considered. Results reveal that Al 2 O 3 weight percentage has the highest leverage on density followed by compaction time and graphite weight percentage.

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Correction: Materials laboratories of the future for alloys, amorphous, and composite materials (MRS Bulletin, (2025), 50, 2, (190-207), 10.1557/s43577-024-00846-y)

引用

MRS Bulletin 2025年 1-2页

作者： Banerjee, Sarbajit Meng, Y. Shirley Minor, Andrew M. Zhang, Minghao Zaluzec, Nestor J. Chan, Maria K.Y. Seidler, Gerald McComb, David W. Agar, Joshua Mukherjee, Partha P. Melot, Brent Chapman, Karena Guiton, Beth S. Klie, Robert F. McCue, Ian D. Voyles, Paul M. Robertson, Ian Li, Ling Chi, Miaofang Destino, Joel F. Devaraj, Arun Marquis, Emmanuelle A. Segre, Carlo U. Liu, Huinan H. Yang, Judith C. Momeni, Kasra Misra, Amit Abdolrahim, Niaz Medvedeva, Julia E. Cai, Wenjun Sehirlioglu, Alp Dizbay-Onat, Melike Mehta, Apurva Graham-Brady, Lori Maruyama, Benji Rajan, Krishna Warner, Jamie H. Taheri, Mitra L. Kalinin, Sergei V. Reeja-Jayan, B. Schwarz, Udo D. Simon, Sindee L. Brown, Craig M. Department of Chemistry and Department of Materials Science & Engineering Texas A & M University College Station United States Pritzker School of Molecular Engineering The University of Chicago Chicago United States Department of Materials Science & Engineering University of California Berkeley Berkeley United States National Center for Electron Microscopy Molecular Foundry Lawrence Berkeley National Laboratory Berkeley United States Center for Nanoscale Materials Argonne National Laboratory Lemont United States Department of Physics University of Washington Seattle United States Department of Materials Science & Engineering The Ohio State University Columbus United States Department of Mechanical Engineering and Mechanics Drexel University Philadelphia United States School of Mechanical Engineering Purdue University West Lafayette United States Department of Chemistry University of Southern California Los Angeles United States Department of Chemistry Stony Brook University The State University of New York Stony Brook United States Department of Chemistry University of Kentucky Lexington United States Department of Physics University of Illinois at Chicago Chicago United States Department of Materials Science & Engineering Northwestern University Evanston Bangladesh Department of Materials Science & Engineering University of Wisconsin–Madison Madison United States Department of Materials Science and Engineering University of Pennsylvania Philadelphia United States Department of Mechanical Engineering and Materials Science Duke University Durham United States Department of Chemistry Creighton University Omaha United States Physical and Computational Sciences Directorate Pacific Northwest National Laboratory Richland United States Department of Materials Science & Engineering University of Michigan–Ann Arbor Ann Arbor United States Department of Physics Illinois Institute of Technology Chicago United States Department of Bioengineering and the Mater

This article was updated to correct Minghao Zhang’s affiliation from "Pritzker School of Molecular engineering, The University of Chicago, Chicago, USA" to "Pritzker School of Molecular engineering, The University of Chicago, Chicago, USA;Argonne National Laboratory, Lemont, USA." Argonne National Laboratory was left off the original publication. © The Author(s) 2025.

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The Hierarchical Potential Energy Landscape of Screw Dislocation Motion in Refractory High-entropy Alloys

arXiv

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arXiv 2022年

作者： Wang, Xinyi Maresca, Francesco Cao, Penghui Department of Mechanical and Aerospace Engineering University of California IrvineCA92697 United States Materials and Manufacturing Technology Program University of California IrvineCA92697 United States Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen 9747 AG Netherlands

High-entropy alloys (HEAs) with concentrated solid solutions are conceived to possess a rugged atomic and energy landscape in which dislocation motion necessarily proceeds to accommodate mechanical deformation. Fundamental questions remain as to how rough the energy landscape is and to what extent it can be influenced by the local ordering of their constituent elements. Here, we construct and report the potential energy landscape (PEL) governing screw dislocation motion in refractory HEAs that reveals a hierarchical and multilevel structure with a collection of small basins nested in large metabasin. This striking feature pertaining to HEAs exerts a trapping force and back stress on saddle point activations, retarding dislocation movement. By introducing chemical short-range order, the energy landscape is smoothed but skewed to different degrees that shifts the rate-liming process from kink-glide to kink-pair nucleation. The chemical disorder-roughened PEL in HEAs, analogous to structural disorder induced in metallic glasses, signifies the role of various barrier-hopping processes underlying the extraordinary mechanical behaviors of the two distinct groups of materials. Copyright © 2022, The Authors. All rights reserved.

关键词： Entropy

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Intelligent Status Diagnosis System for Water Circulation Device

Intelligent Status Diagnosis System for Water Circulation De...

引用

International Conference on Applied System Innovation (ICASI)

作者： Jeng-Dao Lee Yu-Cheng Ye Chi-Ting Ho Guan-Zhi Liu Lin-Yin Chen Ying-Hsiu Hung Department of Automation Engineering Smart Machinery and Intelligent Manufacturing Research Center National Formosa University Hu-Wei Yunlin Taiwan Department of Mechanical Design Engineering National Formosa University Hu-Wei Yunlin Taiwan Doctor's Program of Smart Industry Technology Research and Design National Formosa University Hu-Wei Yunlin Taiwan (R.O.C.)

ISBN: (数字)9798350394924

ISBN: (纸本)9798350394931

This study employs AI to classify the vibration states of equipment during operation to ensure the health of the equipment. Initially, a vibration simulation system was established in the laboratory using a servo motor. The digitized data measured by a vibration sensor was transmitted to a PC and stored in SQLite. The vibration data was then applied to a Temporal Convolutional Network (TCN) model for training. After completing the capability of status identification in the vibration simulation system, the model was applied to the water-pumping motor of the water circulation system in the Wire Electrical Discharge Machine (WEDM). The intelligent vibration status diagnosis system identified whether the operation of the WEDM water circulation system was normal at different water-pumping motor speeds. This reduces the need for manual equipment fault detection and allows for immediate detection of motor status, minimizing accidents and product losses.

关键词： Vibrations Training Technological innovation Vibration measurement Motors Water pumps Convolutional neural networks

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