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24th International Conference on Miniaturized systems for Chemistry and Life Sciences, MicroTAS 2020

作者： Kitayama, Sean E. Sohn, Lydia L. UC Berkeley UCSF Graduate Program in Bioengineering BerkeleyCA United States Department of Mechanical Engineering University of California Berkeley BerkeleyCA United States

ISBN: (纸本)9781733419017

We present a novel in vitro heterogenous lung microenvironment fabricated using DNA-directed patterning, a lithographic method capable of controlled spatial and temporal presentation of cells and ligands with micron-scale precision. Designed using patient histology images, this alveolar microenvironment contains five cell types in an optimized co-culture system that has a number of advantages over existing in vivo models. Our optimized platform has the ability to answer questions about breast cancer metastasis, particularly about the role of extracellular vesicles in preparing the pre-metastatic niche in the secondary lung microenvironment. © 2020 CBMS-0001

关键词： Diseases

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Permanent Magnet Synchronous Motor Drive Control for Hybrid Construction Machinery - Revisited

Permanent Magnet Synchronous Motor Drive Control for Hybrid ...

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IEEE Transportation Electrification Conference and Expo (ITEC)

作者： Thiago M. Parreiras Dener A. de L. Brandao Mariana de F. Ramos Thales A. C. Maia Tomás P. Corrêa Igor A. Pires Anderson Nascimento Braz de J. C. Filho Institute of Technological Sciences Universidade Federal de Itaiubá Itabira Brazil Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil Department of Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil Department of Electronics Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil South America Tractor Backhoe Loader CNH Industrial Brasil Contagem Brazil

Hybrid Construction Machinery (HCM) differs from conventional Hybrid Electric Vehicles (HEV) by offering fuel consumption reduction not only in the traction system, but mainly in its hydraulic work implements. Regardless of the type of hybridization considered (series, parallel or series-parallel), Permanent Magnet Synchronous Machines (PMSM) are increasingly consolidating their position as the preferred option. Commercial motor drive systems usually can benefit of some revision in its control system and to take into account some of the specific needs of HCMs. This work revisit the PMSM drive control topic in face of the HCM requirements along with a method for controllers adjust, which is based in the disturbance-output relationship and makes use of feedforward and disturbance decoupling actions. Furthermore, it compares the proposed schemes with the ones used by some commercial products and shows how the they can improve the system disturbance rejection. Simulation and experimental results shows a better speed regulation with the proposed approach.

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Generalized LOAM: LiDAR Odometry Estimation with Trainable Local Geometric Features

arXiv

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arXiv 2022年

作者： Honda, Kohei Koide, Kenji Yokozuka, Masashi Oishi, Shuji Banno, Atsuhiko The Department of Mechanical Systems Engineering Graduate School of Engineering Nagoya University Furo-cho Chikusa-ku Aichi Nagoya Japan The Department of Information Technology and Human Factors The National Institute of Advanced Industrial Science and Technology Umezono 1-1-1 Ibaraki Tsukuba3050061 Japan

This paper presents a LiDAR odometry estimation framework called Generalized LOAM. Our proposed method is generalized in that it can seamlessly fuse various local geometric shapes around points to improve the position estimation accuracy compared to the conventional LiDAR odometry and mapping (LOAM) method. To utilize continuous geometric features for LiDAR odometry estimation, we incorporate tiny neural networks into a generalized iterative closest point (GICP) algorithm. These neural networks improve the data association metric and the matching cost function using local geometric features. Experiments with the KITTI benchmark demonstrate that our proposed method reduces relative trajectory errors compared to the other LiDAR odometry estimation methods. Copyright © 2022, The Authors. All rights reserved.

关键词： Mapping

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Investigation of Sm Addition on Microstructural and Optical Properties of CoFe Thin Films

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Materials 2023年第15期16卷 5380-5380页

作者： Liu, Wen-Jen Chang, Yung-Huang Chiang, Chia-Chin Lai, Jian-Xin Chen, Yuan-Tsung Chen, Hsiung-Liang Lin, Shih-Hung Department of Materials Science and Engineering I-Shou University Kaohsiung840 Taiwan Bachelor Program in Industrial Technology National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou640301 Taiwan Department of Mechanical Engineering National Kaohsiung University of Science and Technology Kaohsiung City80778 Taiwan Graduate School of Materials Science National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou640301 Taiwan Department of Electronic Engineering National Yunlin University of Science and Technology 123 University Road Section 3 Yunlin Douliou640301 Taiwan

CoFe-based alloys and rare earth (RE) elements are among the most studied materials in applying magnetic devices to improve soft magnetic characteristics. A series of Co40Fe40Sm20 films are deposited on a glass substrate via the sputtering technique, followed by an annealing process to investigate their effect on microstructural and optical properties of Co40Fe40Sm20 films. In this study, the increase in the thickness of Co40Fe40Sm20 films and annealing temperatures resulted in a smoother surface morphology. The 40 nm Co40Fe40Sm20 films annealed 300 °C are expected to have good wear resistance and adhesive properties due to their high values of H/E ratio and surface energy. Optical transparency also increased due to the smoother surface of the Co40Fe40Sm20 films. © 2023 by the authors.

关键词： Iron alloys

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Potential analysis of hybrid solar PV-Savonius wind turbine helix type system on the cooling effect and increased power generated

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AIP Conference Proceedings 2024年第1期2859卷

作者： Miftah Hijriawan Zainal Arifin Dominicus Danardono Dwi Prija Tjahjana Ilham Wahyu Kuncoro Graduate Program of Mechanical Engineering Universitas Sebelas Maret Jl. Ir. Sutami No.36 Surakarta Indonesia 57126

For the past few decades, solar photovoltaics (PV) has been the solution for utilizing the potential of available solar energy. However, hybrid systems have been widely developed to improve the performance of Solar PV, including integrating it with wind turbines. In addition to compensating for solar PV panels’ ability to convert energy at a specific time, wind turbines have the potential to serve as a cooling medium for solar PV panels, improving the hybrid system’s energy efficiency. The hybrid Solar PV-Savonius wind turbine helix type system is identified in this article regarding its performance as a hybrid system and its potential as a solar PV panel cooling medium. In this case, the configuration and installation of the Solar PV-wind turbine hybrid system are analyzed to determine the parameters that affect the system’s performance. Furthermore, improvements for the system are examined to determine the potentials that can be enhanced to provide higher performance and energy efficiency in the hybrid system. Some of the parameters that can maximize the performance and energy efficiency of the Solar PV-wind turbine hybrid system are system layout configuration, wind concentrator, and winglet utilization. In this case, some of these factors are discussed in further detail to establish which Solar PV-wind turbine hybrid system parameters can be improved.

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Scalable Crystal Structure Relaxation Using an Iteration-Free Deep Generative Model with Uncertainty Quantification

arXiv

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arXiv 2024年

作者： Yang, Ziduo Zhao, Yi-Ming Wang, Xian Liu, Xiaoqing Zhang, Xiuying Li, Yifan Lv, Qiujie Chen, Calvin Yu-Chian Shen, Lei Department of Mechanical Engineering National University of Singapore Singapore117575 Singapore Artificial Intelligence Medical Research Center School of Intelligent Systems Engineering Shenzhen Campus of Sun Yat-sen University Shenzhen518107 China Department of Physics National University of Singapore Singapore117551 Singapore -Preferred Program School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen518055 China State Key Laboratory of Chemical Oncogenomics School of Chemical Biology and Biotechnology Peking University Shenzhen Graduate School Shenzhen518055 China Department of Medical Research China Medical University Hospital Taichung40447 Taiwan Department of Bioinformatics and Medical Engineering Asia University Taichung41354 Taiwan Guangdong L-Med Biotechnology Co. Ltd. Guangdong Meizhou514699 China Research Institute Chongqing401123 China

In computational molecular and materials science, determining equilibrium structures is the crucial first step for accurate subsequent property calculations. However, the recent discovery of millions of new crystals and complex twisted structures has challenged traditional computational methods, both ab initio and machine-learning-based, due to their computationally intensive iterative processes. To address these scalability issues, here we introduce DeepRelax, a deep generative model capable of performing geometric crystal structure relaxation rapidly and without iterations. DeepRelax learns the equilibrium structural distribution, enabling it to predict relaxed structures directly from their unrelaxed ones. The ability to perform structural relaxation at the millisecond level per structure, combined with the scalability of parallel processing, makes DeepRelax particularly useful for large-scale virtual screening. We demonstrate DeepRelax's reliability and robustness by applying it to five diverse databases, including oxides, Materials Project, two-dimensional materials, van der Waals crystals, and crystals with point defects. DeepRelax consistently shows high accuracy and efficiency, validated by density functional theory calculations. Finally, we enhance its trustworthiness by integrating uncertainty quantification. This work significantly accelerates computational workflows, offering a robust and trustworthy machine-learning method for material discovery and advancing the application of AI for science. Code for DeepRelax is available at https://***/Shen-Group/DeepRelax. Copyright © 2024, The Authors. All rights reserved.

关键词： Point defects

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Advances in filler-crosslinked membranes for hydrogen fuel cells in sustainable energy generation

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International Journal of Hydrogen Energy 2025年 140卷 745-776页

作者： Aminul Islam Mamun Shahriar Md. Tarekul Islam Siow Hwa Teo M. Azizur R. Khan Yun Hin Taufiq-Yap Suman C. Mohanta Ariyan Islam Rehan Adiba Islam Rasee Khadiza Tul Kubra Md. Munjur Hasan Md. Shad Salman R.M. Waliullah Md. Nazmul Hasan Md. Chanmiya Sheikh Tetsuya Uchida Mrs Eti Awual Mohammed Sohrab Hossain Hussein Znad Md. Rabiul Awual Department of Petroleum and Mining Engineering Jashore University of Science and Technology Jashore 7408 Bangladesh College of Engineering Korea University 145 Anam-ro Seongbuk-gu Seoul 02841 Republic of Korea Department of Chemistry Jashore University of Science and Technology Jashore 7408 Bangladesh Department of Leather Engineering Faculty of Mechanical Engineering Khulna University of Engineering and Technology Khulna 9203 Bangladesh Industrial Chemistry Program Faculty of Science and Natural Resources Universiti Malaysia Sabah 88400 Kota Kinabalu Sabah Malaysia Catalysis Science and Technology Research Centre Faculty of Science Universiti Putra Malaysia Serdang 43400 Malaysia Department of Chemistry School of Science The University of Tokyo 7-3-1 Bunkyo-ku Tokyo 113-0033 Japan Department of Chemistry Graduate School of Science Osaka University Osaka 560-0043 Japan Institute for Chemical Research Kyoto University Gokasho Uji Kyoto 611-0011 Japan Division of Applied Chemistry Graduate School of Natural Science and Technology Okayama University 1-1 Tsushima-naka 3-Chome Okayama 700-8530 Japan Western Australian School of Mines: Minerals Energy and Chemical Engineering Curtin University GPO Box U 1987 Perth WA 6845 Australia

Fuel cell membranes can be used in various ways to achieve zero-emission transport and energy systems, which offer a promising way to power production due to their higher efficiency compared to the internal combustion engine and the eco-environment. Perfluoro sulfonic acid membranes used for proton exchange membranes (PEMs) have certain drawbacks, like higher fuel permeability and expense, lower mechanical and chemical durability, and proton conductivity under low humidity and above 80 °C temperature. Researchers have drawn their attention to the production of polymer electrolyte membranes with higher proton conductivity, thermal and chemical resilience, maximum power density, lower fuel permeability, and lower expense. For sustainable clean energy generation, a review covering the most useful features of advanced material-associated membranes would be of great benefit to all interested communities. This paper endeavors to explore several types of novel inorganic fillers and crosslinking agents, which have been incorporated into membrane matrices to design the desired properties for an advanced fuel cell system. Membrane parameters such as proton conductivity, the ability of H 2 transport, and the stability of the membrane are described. Research directions for developing fuel cell membranes are addressed based on several challenges suggested. The technological advancement of nanostructured materials for fuel cell applications is believed to significantly promote the future clean energy generation technology in practice.

关键词： Advanced materials Fuel cell Hydrogen gas generation Proton exchange membrane Polymer

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Janus MoSSe nanotubes on one-dimensional SWCNT-BNNT van der Waals heterostructures

arXiv

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arXiv 2024年

作者： Yang, Chunxia Lin, Qingyun Sato, Yuta Gao, Yanlin Zheng, Yongjia Wang, Tianyu Ma, Yicheng Dai, Wanyu Maruyama, Mina Okada, Susumu Suenaga, Kazu Maruyama, Shigeo Xiang, Rong Department of Mechanical Engineering The University of Tokyo Tokyo113-8656 Japan State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou310027 China Center of Electron Microscopy State Key Laboratory of Silicon and Advanced Semiconductor Materials School of Material Science and Engineering Zhejiang University Hangzhou310027 China Tsukuba305-8565 Japan Graduate School of Pure and Applied Sciences University of Tsukuba Tsukuba305-8571 Japan The Institute of Scientific and Industrial Research Osaka University 8-1 Mihogaoka Ibaraki Osaka567-0047 Japan

2D Janus TMDC layers with broken mirror symmetry exhibit giant Rashba splitting and unique excitonic behavior. For their 1D counterparts, the Janus nanotubes possess curvature, which introduce an additional degree of freedom to break the structural symmetry. This could potentially enhance these effects or even give rise to novel properties. In addition, Janus MSSe nanotubes (M=W, Mo), with diameters surpassing 40 Å and Se positioned externally, consistently demonstrate lower energy states than their Janus monolayer counterparts. However, there have been limited studies on the preparation of Janus nanotubes, due to the synthesis challenge and limited sample quality. Here we first synthesized MoS2 nanotubes based on SWCNT-BNNT heterostructure and then explored the growth of Janus MoSSe nanotubes from MoS2 nanotubes with the assistance of H2 plasma at room temperature. The successful formation of the Janus structure was confirmed via Raman spectroscopy, and microscopic morphology and elemental distribution of the grown samples were further characterized. The synthesis of Janus MoSSe nanotubes based on SWCNT-BNNT enables the further exploration of novel properties in Janus TMDC nanotubes. Copyright © 2024, The Authors. All rights reserved.

关键词： Van der Waals forces

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Current Issues in the Flexibilization of Smart Product-Service systems and their Impacts in Industry 4.0

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Procedia Manufacturing 2020年 51卷 1153-1157页

作者： Athon F.C.S. de Moura Leite Matheus B. Canciglieri Yee Mey Goh Radmehr P. Monfared Eduardo de F. Rocha Loures Osiris Canciglieri Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Paraná Curitiba – Paraná Brazil School of Mechanical Electrical and Manufacturing Engineering Loughborough University Loughborough – Leicestershire United Kingdom

In Industry 4.0, trends on Servitisation are intertwined with increased use of “smart technologies”, bringing light to Smart Product-Service systems. Currently, Smart-PSSs need to cope with dynamic customer’s needs, which generates system requirements in a higher frequency, resulting in reconfiguration of such system. This research aims to study current issues regarding the reconfiguration of Smart-PSSs, focusing on flexibilization. An exploration of issues is done by a qualitative literature review, with results structured in a schema. This schema approaches issues which are not yet solved or addressed in literature, showing that systemic solutions are necessary to solve explored issues. A discussion of current limitations and trends in research is presented, bridging studied material and pointing out current Industry 4.0 technologies that might cope with the issues if approached systemically. The paper points to further research regarding a expansions on the literature review and next steps on solving current issues.

关键词： Smart Product-Service System Semantic Interoperability Industry 4.0 Flexible Smart Product-Service System

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Electromagnetic textile absorber applied to 4G and 5G bands

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Scientific reports 2025年第1期15卷 18768页

作者： Paulo H B Carvalho Ewaldo E C Santana Allan K D Barros Filho Paulo F Silva Júnior Keyll C R Martins Talita C Azevedo Waldemir P Martins Mauro A Medeiros Rubens S Gonçalves Lourival M Sousa Filho Gricirene S Correia Gabrielle M Fernandes Talita C Pinheiro Brenda A S Rodrigues Carlos A M Cruz Graduate Program in Electrical Engineering Federal University of Maranhão (UFMA) São Luís MA Brazil. phenrique@ifma.edu.br. Graduate Program in Electrical Engineering Federal University of Maranhão (UFMA) São Luís MA Brazil. Graduate Program in Computer and Systems Engineering Maranhão State University (UEMA) São Luís MA Brazil. Graduate Program in Mechanical Engineering Federal Institute of Maranhão (IFMA) São Luís MA Brazil. Department of Electrical Engineering Federal Institute of Paraíba (IFPB) João Pessoa PB Brazil. Graduate Program in Electrical Engineering Federal University of Amazonas (UFAM) Manaus AM Brazil. Department of Electronics and Computation Federal University of Amazonas (UFAM) Manaus AM Brazil.

Absorber materials are developed to reduce electromagnetic radiation and ensure the compatibility of the operation of electronic equipment in environments subject to interference. This work presents the development of a low-cost textile electromagnetic absorber for 4G and 5G technologies, operating at frequencies of 2.5 GHz and 3.5 GHz. The proposed electromagnetic absorber utilizes a 1 mm-thick Denim substrate, with a graphite composite used in the agricultural and commercial polyvinyl acetate glue industry, with the relationship of 25 wt%. The measurements were carried out in a Vector Network Analyzer, model E5071C Agilent Technologies, with the characterization of the Denim substrate, the glue, and the identification of the best parameters for the construction of the absorber. In the project, three low-cost textile absorbers prototypes were fabricated, with G1 = 0.25 mm, G2 = 0.35 mm, and G3 = 0.5 mm of thickness layers of the composite deposited on a Denim fabric. The results indicate that the absorber prototypes G2 presents great results in the frequency range of 4G and 5G band, with a maximum absorption of 26.6 dB in 3.94 GHz, with a structure 98.83% thinner than the commercial absorber LF-75. The variation in absorption performance may be attributed to the different mechanisms by which the absorbers operate: the commercial absorber LF-75 primarily interacts with the magnetic field, whereas the textile prototype predominantly affects the electric field.

关键词： 4G and 5G bands Electromagnetic Low-cost Textile absorber

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