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Self-consistent clustering analysis for modeling of theromelastic heterogeneous materials

AIP Conference Proceedings 2021年第1期2324卷

作者： Satyajit Mojumder Jiaying Gao Wing Kam Liu Theoretical and Applied Mechanics Program Northwestern University Evanston IL-60208 USA. Department of Mechanical Engineering Northwestern University Evanston IL-60208 USA. Department of Mechanical Engineering Bangladesh University of Engineering and Technology Dhaka-1000 Bangladesh..

Thermal residual stress is identified as one of the major reasons of stress concentration in material’s microstructures which initiates failure in the microstructure. Considering the details of microstructural features (inclusions shape, size, and distri-bution) can provide better understanding of the thermal residual stress developed in the materials due to the temperature change. In this paper, we have extended the self-consistent clustering analysis (SCA) method for efficient and accurate modeling of thermal residual stress for thermoelastic heterogeneous materials. The governing equations of the thermoelasticity has been implemented through a eigenstrain problem and solved using a Fast Fourier Transform (FFT) based solution scheme and later extended for SCA formulation. The thermoelastic formulation of SCA method has been verified for a single inclusion (homogeneous and inhomoge-neous) problem with the analytical solution of Eshelby and the FFT-based solution for multiple clusters. An example problem with multiple inhomogeneous inclusions has been solved for different temperatures and the residual stress developed has been analyzed. Results show that the thermoelastic formulation of SCA can have order of hundred times speed up compare to the traditional FFT-based solution scheme. The proposed methodology can be implemented in thermomechanical problems and provide efficient multiscale capabilities for prediction of thermal residual stress.

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Optomechanical dissipative solitons (vol 600, pg 75, 2021)

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NATURE 2022年第7896期602卷 E24-E24页

作者： Zhang, Jing Peng, Bo Kim, Seunghwi Monifi, Faraz Jiang, Xuefeng Li, Yihang Yu, Peng Liu, Lianqing Liu, Yu-xi Alu, Andrea Yang, Lan Department of Electrical and Systems Engineering Washington University St. Louis MO USA Department of Automation Tsinghua University Beijing P. R. China Photonics Initiative Advanced Science Research Center City University of New York New York NY USA Physics Program Graduate Center City University of New York New York NY USA State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang P. R. China Institute of Microelectronics Tsinghua University Beijing P. R. China

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Framework and case study of cognitive maintenance in Industry 4.0

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Frontiers of Information Technology & Electronic engineering 2019年第11期20卷 1493-1504页

作者： Bao-rui LI Yi WANG Guo-hong DAI Ke-sheng WANG Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai UniversityShanghai 200444China School of Business University of PlymouthPlymouth Devon PL48AAUK School of Mechanical Engineering Changzhou UniversityChangzhou 213164China Department of Mechanical and Industrial Engineering Norwegian University of Science and TechnologyTrondheim N-7491Norway

We present a new framework for cognitive maintenance (CM) based on cyber-physical systems and advanced artificial intelligence techniques. These CM systems integrate intelligent deep learning approaches and intelligent decision-making tech-niques, which can be used by maintenance professionals who are working with cutting-edge equipment. The systems will provide technical solutions to real-time online maintenance tasks, avoid outages due to equipment failures, and ensure the continuous and healthy operation of equipment and manufacturing assets. The implementation framework of CM consists of four modules, i.e., cyber-physical system, Internet of Things, data mining, and Internet of Services. In the data mining module, fault diagnosis and prediction are realized by deep learning methods. In the case study, the backlash error of cutting-edge machine tools is taken as an example. We use a deep belief network to predict the backlash of the machine tool, so as to predict the possible failure of the machine tool, and realize the strategy of CM. Through the case study, we discuss the significance of implementing CM for cutting-edge equipment, and the framework of CM implementation has been verified. Some CM system applications in manufacturing enterprises are summarized.

关键词： Cognitive maintenance Industry 4.0 Cutting-edge equipment Deep learning Green monitor Smart manufacturing factory

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Assisted Living System Architecture Based on Bluetooth low Energy and Wearable Sensors

Assisted Living System Architecture Based on Bluetooth low E...

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International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH)

作者： Marcin Kajor Dominik Grochala Michał Grochala Marek Iwaniec Justyna Lemejda Faculty of Electical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science and Technology Kraków Poland Nordic Semiconductor Poland sp. z o.o. Kraków Poland Faculty of Mechanical Engineering and Robotics AGH University of Science and Technology Kraków Poland Department of Prosthodontics Jagiellonian University Kraków Poland

ISBN: (数字)9781728171807

ISBN: (纸本)9781728171814

The design of wearable sensors and development of novel wireless radio protocols drive advances in the assisted living technology which is a promising approach in terms of future domestic healthcare. In this paper we propose the system architecture for vital signs monitoring in home conditions. The prototype device is based on the microcontroller supporting Bluetooth Low Energy which may be used for medical data transfer in assisted living applications. We developed a respiration rate sensor and thermometer pickup to provide basic measurements of physiological signals. We tested a range of proposed wireless system in urban conditions. The temperature and respiration rate was then recorded to verify the system operation. We measured the power consumption to evaluate the low energy performance of the device which is vital aspect of the telemedical wearable system.

关键词： assisted living systems Bluetooth Low Energy wearable sensors telemedicine Wearable sensors Telerehabilitation Building systems Operating systems LOW ENERGY Bluetooth CARRIER SYSTEM Organism Power consumption Respiratory Rate

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Phase transformation path in aluminum under ramp compression;simulation and experimental study

Research Square

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Research Square 2021年

作者： He, Lijie Polsin, Danae Zhang, Shuai Collins, Gilbert W. Abdolrahim, Niaz Materials Science Program University of Rochester RochesterNY14627 United States Departments of Mechanical Engineering University of Rochester RochesterNY14627 United States Laboratory for Laser Energetics University of Rochester RochesterNY14623 United States Department of Physics and Astronomy University of Rochester RochesterNY14627 United States

Identifying structure phase transformation path is essential but challenging in plastic deformation under high-pressure high-strain rate experiments. In this paper, we adopt a framework based on non-equilibrium molecular dynamics and virtual diffraction to reproduce the phase transformation event observed in laser-driven ramp compression. Our simulation results reveal the detailed phase transformation pathway with atomic-level deformation physics while the simulated stress-density response and virtual diffraction patterns match the experimental observation with great accuracy. © 2021, CC BY.

关键词： Plastic deformation

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PyChart – A Python module for analysis and visual view of 2D/3D Charts

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Journal of Physics: Conference Series 2021年第1期1781卷

作者： D Nedelcu T Latinovic 'Eftimie Murgu' University of Resita Romania Faculty of Engineering and Management Department of Mechanical Engineering and Management Traian Vuia square no.1-4 320085 Resita University of Banja Luka Bosnia and Herzegovina Faculty of Mechanical Engineering Department of Mechatronics and Robotics Stepe Stepanovica 71 78000 Banja Luka

The paper describes the PyChart module (aimed at analysis and visual view of 2D/3D Charts), which was created with the help of free and Open Source resources, using Python as a programming language and *** as a graphical user interface toolkit. The chart data is imported from a Excel/CSV file with a template structure and is drawn in the PyChart module as XY or XYZ curves similar with Excel scatter with smooth lines and markers style. The main functions of the charts are activated using the toolbar. The module is provided with zooming instruments (fit, pan, zoom in, zoom out), cubic spline curves interpolation, chart intersection with constant X, Y or Z values, visual follow of the 2D chart points to view coordinates, export of data in Windows Clipboard, Excel or Microsoft Word format and saving the chart as a image file.

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Robotic Swarm Control for Precise and On-Demand Embolization

Robotic Swarm Control for Precise and On-Demand Embolization

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IEEE International Conference on robotics and Automation (ICRA)

作者： Mengxi Luo Junhui Law Xian Wang Liming Xin Guanqiao Shan Mitesh Badiwala Xi Huang Yu Sun Department of Mechanical and Industrial Engineering University of Toronto Toronto Canada Department of Cardiovascular Surgery University Health Network Toronto Canada Program in Developmental and Stem Cell Biology The Hospital for Sick Children Toronto Canada

ISBN: (数字)9781728173955

ISBN: (纸本)9781728173962

Existing approaches for robotic control of magnetic swarms are not capable of generating magnetic aggregates precisely in an arbitrarily specified target region in a fluidic flow environment. Such a swarm control capability is demanded by medical applications such as clinical embolization (i.e., localized clogging of blood vessels). This paper presents a new magnetic swarm control strategy to generate aggregates only in a specified target region under fluidic flow. Within the target region, the magnetic field generates sufficiently large magnetic forces among magnetic particles to maintain the aggregates' integrity at the junctions of blood vessels. In contrast, unintended aggregates outside the target region are disassembled by fluidic shear. The aggregation control approach achieved a mean absolute error of 0.15 mm in positioning a target region and a mean absolute error of 0.30 mm in controlling the target region's radius. With thrombin coating, 1 μm magnetic particles were controlled to perform embolization both in vitro (using microfluidic channel networks) and ex vivo (using porcine tissue). Experiments proved the effectiveness of the swarm control technique for on-demand, targeted embolization.

关键词： Aggregates Magnetic tunneling Coils Junctions Magnetic particles Blood vessels Magnetic separation

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Data rate limits for the remote state estimation problem ⁎

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IFAC-PapersOnLine 2020年第2期53卷 4955-4960页

作者： C. Kawan A. Matveev A. Pogromsky Institute of Informatics Ludwig-Maximilians-Universität München Germany Department of Mathematics and Mechanics Saint Petersburg University St. Petersburg Russia Department of Mechanical Engineering Eindhoven University of Technology Eindhoven The Netherlands Department of Control Systems and Industrial Robotics Saint-Petersburg National Research University of Information Technologies Mechanics and Optics (ITMO) Russia

In the context of control and estimation under information constraints, restoration entropy measures the minimal required data rate above which a system can be regularly observed. The observer here is assumed to receive its state information through a communication channel of a finite bit-rate capacity. In this paper, we provide a new characterization of restoration entropy which does not require to compute any temporal limit, i.e., an asymptotic quantity. Our new formula is based on the idea of finding an adapted Riemannian metric on the state space that allows to ‘see’ the decisive quantity that determines the restoration entropy - a certain type of Lyapunov exponent - in only one step of time.

关键词： Entropy Nonlinear systems First second Lyapunov methods

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Six Sigma Implementation in Production Process in Electronic Company Malaysia

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IOP Conference Series: Materials Science and engineering 2021年第1期1096卷

作者： M W D Utami A Ma'aram M Hisjam Undergraduate Program of Industrial Engineering Department Faculty of Engineering Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Material Manufacturing and Industrial Engineering Faculty of Mechanical Engineering Universiti Teknologi Malaysia Skudai Malaysia Department of Industrial Engineering Faculty of Engineering Universitas Sebelas Maret Surakarta 57126 Indonesia

The electronics industry is one of the growing industrial sectors because of the need for electronics industry products continuously increases. This situation of development is driving the fast pace of electronics industry companies in Malaysia to be better prepared to face competition in the era of free trade. The study was carried in an electronic company in Malaysia that produce hard disk components. In this company, the number of defective products is very high which is the average defect (they call it u-loss) in the brushing room for arm body actuator products reaches 0.454% and one type of actuator arm body has reached 0.982% of defect units which means the company loses 65,000.88 RM per year. This study only focused on actuator arm body production in brushing room and aim to determine the dominant product which have the biggest percentage of defect, determine types of defects in the production of selected product, determine the root cause of the biggest defects in the production of selected product in brushing area, and recommend improvements in order to minimize the occurrence of defects in the production of selected product. This research uses Six Sigma in solving problems in the company. This study did not evaluate the results of the Six Sigma implementation directly. Therefore, as an alternative, quality improvement is done through Monte Carlo simulation with several scenarios. If zero defect in actuator arm body production is reached, company can save 65,000.88 RM per year.

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The structural, vibrational, and mechanical properties of jammed packings of deformable particles in three dimensions

arXiv

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arXiv 2021年

作者： Wang, Dong Treado, John D. Boromand, Arman Norwick, Blake Murrell, Michael P. Shattuck, Mark D. O'Hern, Corey S. Department of Mechanical Engineering and Materials Science Yale University New HavenCT06520 United States Integrated Graduate Program in Physical and Engineering Biology Yale University New HavenCT06520 United States Department of Physics Yale University New HavenCT06520 United States Department of Biomedical Engineering Yale University New HavenCT06520 United States Systems Biology Institute Yale University West HavenCT06516 United States Benjamin Levich Institute and Physics Department The City College of New York New YorkNY10031 United States Department of Applied Physics Yale University New HavenCT06520 United States

We investigate the structural, vibrational, and mechanical properties of jammed packings of deformable particles with shape degrees of freedom in three dimensions (3D). Each 3D deformable particle is modeled as a surface-triangulated polyhedron, with spherical vertices whose positions are determined by a shape-energy function with terms that constrain the particle surface area, volume, and curvature, and prevent interparticle overlap. We show that jammed packings of deformable particles without bending energy possess low-frequency, quartic vibrational modes, whose number decreases with increasing asphericity and matches the number of missing contacts relative to the isostatic value. In contrast, jammed packings of deformable particles with non-zero bending energy are isostatic in 3D, with no quartic modes. We find that the contributions to the eigenmodes of the dynamical matrix from the shape degrees of freedom are significant over the full range of frequency and shape parameters for particles with zero bending energy. We further show that the ensembleaveraged shear modulus hGi scales with pressure P as hGi ∼ pβ, with β ≈ 0.75 for jammed packings of deformable particles with zero bending energy. In contrast, β ≈ 0.5 for packings of deformable particles with non-zero bending energy, which matches the value for jammed packings of soft, spherical particles with fixed shape. These studies underscore the importance of incorporating particle deformability and shape change when modeling the properties of jammed soft materials. © 2021, CC BY.

关键词： Degrees of freedom (mechanics)

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