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Computer Science, Information Technology and engineering (ICCoSITE), International Conference on

作者： Muhammad Hasan Albana Harus Laksana Guntur Ary Bachtiar Khrisna Putra Graduate Program of Mechanical Engineering Department Institut Teknologi Sepuluh Nopember Surabaya Indonesia Mechanical Engineering Department Institut Teknologi Sepuluh Nopember Surabaya Indonesia

Excessive heat will reduce the torque, power, and efficiency of the in-wheel motor, for example, the in-wheel motor used for an electric scooter. This study discusses an effort to reduce the temperature of the in-wheel motor of an electric scooter by making grooves on the cover surface. If the temperature of the in-wheel motor cover is low, it will reduce the temperature of the in-wheel motor as a whole. This research uses the finite element method: steady-state thermal analysis and transient thermal analysis. The software used is Ansys Workbench. Suppose a heat flux of 1000 W/m 2 is inside the in- wheel motor, the metal used as a cover is aluminum, 22°C is the starting temperature, and the ambient temperature is 28°C. The results showed that the grooves on the in-wheel motor cover caused the temperature to be reduced by 8.4%, and the total heat flux increased by 8.3% compared to the standard in-wheel motor cover (cover without modifications). In this study, the transient thermal analysis described the heat transfer process better than a steady-state thermal analysis.

关键词： Motorcycles Wheels Software Thermal analysis Steady-state Finite element analysis Transient analysis

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The Effect of Fins Design on the Thermal Characteristics of Electric Motors for Electric Vehicles

The Effect of Fins Design on the Thermal Characteristics of ...

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International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)

The increasing public demand for electric vehicles also impacts the demand for electric motors. The prominent problem electric motors faces are excess heat when operating because it affects the age and performance of the electric motor. Installing fins on the electric motor housing is one way to reduce heat on the electric motor. In this study, a comparison of the six-fin design was carried out, and the effect on the thermal characteristics of the electric motor was examined. Fins are mounted radially and axially. The six types of fin designs studied are radial fins-round, radial fins-square, radial fins-servo, axial fins-round, axial fins-square, and axial fins-servo. The research uses the lumped circuit models method, and the software used is Motor-CAD. The type of electric motor being studied is a brushless permanent magnet machine (BPM) with an internal rotor. The study's findings indicate that the fin's performance in cooling the electric motor depends on its area. The lower temperatures in the axial fins-servo and radial fins-square compared to other fin designs are due to the broader area of the axial fins-servo and radial fins-square compared to the others. Axially mounted fins provide better cooling than radially mounted fins. For example, the winding temperature on the axial fins-servo is 140.54°C, and the winding temperature on the radial fins-square is 140.86°C even though the area of the axial fins-servo is 22.7% smaller than the area of the radial fins-servo.

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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)

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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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Flexible organic solar cells for biomedical devices

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Nano Research 2021年第9期14卷 2891-2903页

作者： Bin Kan Faheem Ershad Zhoulyu Rao Cunjiang Yu Department of Mechanical Engineering University of HoustonHoustonTX 77204USA Department of Biomedical Engineering University of HoustonHoustonTX 77204USA Materials Science and Engineering Program University of HoustonHoustonTX 77204USA Department of Electrical and Computer Engineering University of HoustonHoustonTX 77204USA Texas Center for Superconductivity University of HoustonHoustonTX 77204USA

Organic solar cells(OSCs),particularly made based on solution processing methods,have made significant progress over the past decades through the concurrent evolution of organic photovoltaic materials and device ***,high power conversion efficiencies around 18%and over 16%have been demonstrated in both rigid and flexible OSCs,*** most of the OSC research has centered on efficiency and cost,their emerging and potential usages in many critical applications,particularly in biomedical fields have been *** this mini-review,we will briefly discuss the high-performance organic photovoltaic materials and the representative flexible OSCs to give a scope on the recent rapid development of ***,we will review some progress on the applications of OSCs in biomedical devices and integrated *** potential challenges associated with integrating OSCs for biomedical devices will be put forward.

关键词： organic solar cells photovoltaic flexible biomedical bioelectronics

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Predicting Types of Urinary Crystals and Diameter Using Image Processing Techniques and Deep Learning Models 24

Predicting Types of Urinary Crystals and Diameter Using Imag...

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8th International Conference on Medical and Health Informatics, ICMHI 2024

作者： Huang, Yu-Ju Tseng, Yi-Shiou Chen, Tzu-Jung Chien, Ting-Ying Department of Computer Science and Engineering Yuan Ze University Taoyuan City Taiwan Department of Surgery Far Eastern Memorial Hospital Graduate Institute of Medicine Yuan Ze University Taiwan Graduate Program in Biomedical Informatics Yuan Ze University Taoyuan City Taiwan Innovation Center for Big Data and Digital Convergence Yuan Ze University Taoyuan City Taiwan

ISBN: (纸本)9798400716874

Kidney stones are primarily crystals formed from ion oversaturation in urine. Currently, the diagnosis of kidney stones involves experienced professionals manually interpreting images of urinary crystals under a microscope. In recent years, with the rapid development of artificial intelligence (AI), many researchers have proposed various methods to assist in diagnosis, hoping to improve medical quality. This study explored the application of AI in the medical field, aiming to automate the interpretation of urinary crystal images, such as red blood corpuscles (RBCs), calcium oxalate monohydrate (COM), calcium oxalate dihydrate octahedron (COD-OCT), calcium oxalate dihydrate dodecahedron (COD-DOD), debris, and others, and to use image processing techniques to classify urinary crystal types. This research is expected to assist medical personnel in quickly determining the categories of urinary crystals. Ultimately, our model achieved an F1-score of 0.93, indicating that this architecture has significant potential. © 2024 Copyright ACM.

关键词： Deep learning

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Achieving high surface bioactivity and adhesion in Ti-6Al-4V alloy via anodic oxidation and electrophoretic deposition

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Ceramics International 2025年第16期51卷 22755-22765页

作者： Wu, Yu-Jie Wang, Chi-Yun Mana-ay, Haidee Tu, Chi-Shun Lai, Po-Liang Chen, Pin-Yi International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City24301 Taiwan Research Center for Intelligent Medical Devices Ming Chi University of Technology New Taipei City24301 Taiwan Department of Physics Fu Jen Catholic University New Taipei City24205 Taiwan Bone and Joint Research Center Department of Orthopedic Surgery Chang Gung Memorial Hospital Taoyuan City33305 Taiwan Department of Mechanical Engineering Chang Gung University Taoyuan City33302 Taiwan Department of Physics Silliman University Dumaguete City6200 Philippines

This study combines 3D printing, anodic oxidation (AO), and electrophoretic deposition (ED) technologies to develop Ti-6Al-4V alloy (abbreviated as Ti64) with high hydrophilicity, adhesion, and bioactivity. Titanium oxide nanotubes formed by AO treatment on the Ti64 surface exhibited reduced contact angles from 53 ° to 10 °. The adhesion of the calcium (Ca) layer through the integrated technology of the AO and ED treatments (herein abbreviated as AED) displays an optimal adhesive force of over 30 N on the Ti64 surface, which is attributed to the stable chemical bond due to the formation of OH− ions on the substrate after the AO treatment and the subsequent oxidation reaction of the Ca2+ ions to form a predominantly Ca(OH)2 layer after the ED treatment. Moreover, the AED treatment forms tiny needle-like structures that can effectively promote osteogenic differentiation. The expressions of the osteocyte marker genes (i.e., OCN, OPN, and DMP1) were improved after the AED treatment, showing increased osteogenic differentiation into mature bone tissue. This work presents the AED treatment as a valuable surface modification technique to boost the surface bioactivity of Ti64 for clinical orthopedic applications. © 2025

关键词： Anodic oxidation

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Improving the Cooling Time of Twisted Coiled Actuators in Soft Robotics

Improving the Cooling Time of Twisted Coiled Actuators in So...

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IEEE/RAS-EMBS International Conference on biomedical Robotics and Biomechatronics (BioRob)

作者： Alex Lizotte Parisa Daemi Brendan DiFabio Ana Luisa Trejos School of Biomedical Engineering (BME) Western University BME Western University Department of Electrical and Computer Engineering (ECE) Department of Mechanical and Materials Engineering Mechatronics Program Western University ECE and BME Western University

ISBN: (数字)9798350386523

ISBN: (纸本)9798350386530

Fabric cooling channels for twisted coiled actuators (TCAs) were recently proposed to achieve the required response times for motion assistance in a manner suitable for soft wearable robotic devices. While previous work demonstrated that the fabric channel reduced the cooling time by 42% in comparison to the same TCA without the cooling channel, the TCAs were still not cooled quickly enough to support human motion. Therefore, in this paper, two variations to the channel are proposed to further reduce the cooling time of the TCAs. The variations include unsealing the inlet and adding vents along the length of the channel to take advantage of air entrainment and natural convection. While both variations reduced the cooling time on their own, when they were employed together there was a 34% reduction in cooling time compared to the original channel design ( $19.1 \pm 2.4\ \mathrm{s}$ vs. $13.5 \pm 0.9\ \mathrm{s}, \mathrm{p} < 0.001$ ). This decrease occurred without any significant differences in the stroke or heating time of the TCA. The modified channel was then compared to the TCA without the cooling apparatus and the cooling time was reduced by 57% ( $25.1 \pm 1.7\ \mathrm{s}$ vs. $14.0 \pm 1.2\ \mathrm{s}, \mathrm{p} < 0.001)$ . This work advances the development of a cooling system for TCAs, making it suitable for soft wearable robotic devices by improving portability, and thereby enabling their use in wearable devices for rehabilitation applications.

关键词： Heating systems Actuators Cooling Vents Soft robotics Fabrics Time factors Wearable devices Convection Testing

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Motion Measurement Methods for Nonlinear Analysis of Electrostatic MEMS Resonators 20

Motion Measurement Methods for Nonlinear Analysis of Electro...

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20th International Conference on Smart Technologies, EUROCON 2023

作者： Ghommem, Mehdi Alattar, Basil Lherbette, Michael Elhady, Alaaeldin Abdel-Rahman, Eihab American University of Sharjah Department of Mechanical Engineering Sharjah26666 United Arab Emirates Mechatronics Graduate Program American University of Sharjah Sharjah26666 United Arab Emirates SmarAct Metrology Rohdenweg Oldenburg Germany Systems Design Engineering University of Waterloo Waterloo Ontario Canada

ISBN: (纸本)9781665463973

In this paper, we compare two measurement techniques to analyze the dynamic response of a MEMS resonator, made of a microcantilever beam, that is electrostatically actuated via a side electrode. The first method is based on a combination of Michelson interferometry, knife-edge analysis, and stroboscopic imaging, and is used to dissect the in-plane and out-of-plane motions of the resonator. The second approach follows the motion-induced current method and is based on a transduction mechanism that converts the movement of the resonator to a current signal. The third harmonic of said current is directly related to the in-plane motion of the resonator. Motion-induced current measurements enable the detection of the nonlinear dynamics associated with the motion of the resonator when actuated with high excitation voltages. The optical and electrical measurements show similar nonlinear features in terms of the location of the cyclic-fold bifurcation in the parameter space and the hysteretic region associated with it. These dynamic features can be exploited for sensing purposes. © 2023 IEEE.

关键词： Interferometry

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Electrical Characteristic and Power Fluctuations of GAA Si NS CFETs by Simultaneously Considering Six Process Variation Factors

IEEE Open Journal of Nanotechnology

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IEEE Open Journal of Nanotechnology 2023年 4卷 229-238页

作者： Kola, Sekhar Reddy Li, Yiming National Yang Ming Chiao Tung University Parallel and Scientific Computing Laboratory Electrical Engineering and Computer Science International Graduate Program Hsinchu300093 Taiwan Parallel and Scientific Computing Laboratory National Yang Ming Chiao Tung University Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Institute of Communications Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Institute of Biomedical Engineering Hsinchu300093 Taiwan National Yang Ming Chiao Tung University Department of Electronics and Electrical Engineering Hsinchu300093 Taiwan

Characteristic variability induced by process variation effect (PVE) is one of technological challenges in semiconductor industry. In this work, we computationally study electrical characteristic and power fluctuations induced by six factors of PVE of the gate-all-around (GAA) silicon (Si) nanosheet (NS) complementary field-effect-transistors (CFETs) which are formed by vertically stacking n-FET on top of p-FET. Among the six factors, NS thickness (TNS), NS width (WNS), and gate length (LG) are identified as crucial factors contributing to large variations in device characteristics. The p-FET exhibits substantial off-state current fluctuation (about 151%) due to the bottom parasitic channel leakages. Compared with the magnitudes of dynamic and short circuit powers, the static power is marginal, but it possesses the largest fluctuation (up to 148%). If we assume that each factor of PVE has the same probability distribution as the others and all are mutually independent, the statistical sum of their power fluctuations will exhibit more than 50% overestimations, compared with the results when all factors are considered simultaneously. © 2020 IEEE.

关键词： III-V semiconductors

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Towards a Healthy AI Tradition: Lessons from Biology and biomedical Science

arXiv

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arXiv 2024年

作者： Kasif, Simon Department of Biomedical Engineering Bioinformatics Graduate Program Department of Computer Science Boston University United States Department of Computer Science Tel Aviv University

AI is a magnificent field that directly and profoundly touches on numerous disciplines ranging from philosophy, computer science, engineering, mathematics, decision and data science and economics, to cognitive science, neuroscience and more. The number of applications and impact of AI is second to none and the potential of AI to broadly impact future science developments is particularly thrilling. While attempts to understand knowledge, reasoning, cognition and learning go back centuries, AI remains a relatively new field. In part due to the fact it has so many wide-ranging overlaps with other disparate fields it appears to have trouble developing a robust identity and culture. Here we suggest that contrasting the fast-moving AI culture to biological and biomedical sciences is both insightful and useful way to inaugurate a healthy tradition needed to envision and manage our ascent to AGI and beyond (independent of the AI Platforms used). After all, the human brain is a biological organ produced by evolution and human intelligence is a remarkable bi-product of nature and nurture and their complex interaction. In this perspective, we focus on traditions and culture, namely the commonly observed practices of evaluating, recognizing applauding, critiquing, debating and managing all progress including useful advances and discovery of challenging limitations. We are not discussing specific scientific exchanges between AI and Biology that include interdisciplinary cross fertilization of scientific methods, technology, ideas and applications that have been amply demonstrated and will continue to be transformative in the future. In a previous perspective, we suggested that biomedical laboratories or centers can usefully embrace logistic traditions in AI labs that will allow them to be highly collaborative, improve the reproducibility of research, reduce risk aversion and produce faster mentorship pathways for PhDs and fellows. This perspective focuses on the benefits of AI a

关键词： Biological organs

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