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IEEE/SICE International Symposium on System Integration

作者： Lingbo Yan Takashige Abe Koki Ebina Masafumi Kon Madoka Higuchi Kiyohiko Hotta Jun Furumido Naoya Iwahara Shunsuke Komizunai Teppei Tsujita Kazuya Sase Xiaoshuai Chen Yo Kurashima Hiroshi Kikuchi Haruka Miyata Ryuji Matsumoto Takahiro Osawa Sachiyo Murai Toshiaki Shichinohe Soichi Murakami Taku Senoo Masahiko Watanabe Atsushi Konno Graduate School of Information Science and Technology Hokkaido University Sapporo Japan Department of Urology Hokkaido University Graduate School of Medicine Sapporo Japan Department of Urology Asahikawa Kousei Hospital Asahikawa Japan Faculty of Engineering and Design Kagawa University Takamatsu Japan Department of Mechanical Engineering National Defense Academy of Japan Yokosuka Japan Faculty of Engineering Tohoku Gakuin University Sendai Japan Graduate School of Science and Technology Hirosaki University Hirosaki Japan Clinical Simulation Center Faculty of Medicine Hokkaido University Sapporo Japan Department of Gastroenterological Surgery II Faculty of Medicine Hokkaido University Sapporo Japan Center for Education Research and Innovation of Advanced Medical Technology Hokkaido University Hospital Sapporo Japan Department of Anatomy Faculty of Medicine Hokkaido University Sapporo Japan

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

To improve the efficiency of surgical skill transfer and proficiency in laparoscopic surgery, an objective method of quantifying surgical skills was developed. Surgical trainings for laparoscopic nephrectomy were conducted using cadavers, and the movements of surgical instruments were measured using Mocap system in 46 trainings. Because the surgical techniques required are different depending on the surgical process, the entire nephrectomy was divided into three surgical processes (Part 1: colon mobilization, Part 2: renal vascularization, and Part 3: dissection of the remaining tissue), and skill analysis was performed for each process. Surgeons were categorized into three groups according to the number of surgical experiences (novice: 0-9 surgeries, intermediate: 10-49 surgeries, and experts: 50 or more). Three-group tests were conducted on 111 features extracted from the surgical instrument movement data. The three-group tests showed that there were significant differences among the three groups in the surgical processes: part 1, part 2, and part 3. Principal component analysis (PCA) was conducted using the features that showed significant differences in the efficiency of the operation.

关键词： Training Laparoscopes Minimally invasive surgery Instruments Surgery System integration Feature extraction Data mining Cadaver Principal component analysis

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Stability and energetics of two-dimensional surface crystals in liquid AuSi thin films and nanoscale droplets

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Physical Review Materials 2021年第7期5卷 074003-074003页

作者： Hailong Wang Mengyuan Wang Alireza Shahabi Alain Karma Moneesh Upmanyu CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern Mechanics CAS Center for Excellence in Complex System Mechanics University of Science and Technology of China Hefei Anhui 230027 China Group for Simulation and Theory of Atomic-Scale Material Phenomena (stAMP) Department of Mechanical and Industrial Engineering Northeastern University Boston Massachusetts 02115 USA Department of Physics Northeastern University Boston Massachusetts 02115 USA

We employ atomic-scale computational frameworks to study the surface crystallization in AuSi films and droplets as a function of composition, temperature, and size. Above the melting point, the surfaces of both thin films and droplets undergo a first-order transition from a two-dimensional (2D) Au2Si crystalline phase to a laterally disordered yet stratified layer. The thin film surfaces exhibit an effective surface tension that increases with temperature and decreases with Si concentration, while for droplets in the size range 10–30 nm, the bulk Laplace pressure alters the surface segregation as it occurs with respect to a strained bulk. Above the transition, the size effect on the surface tension due to the stratified surface layer is small, while the crystalline surface layer below the transition is strained and composed of 2D crystallites separated by extended grain boundary scars that lead to large fluctuations in its energetics. As a specific application, all-atom simulations of AuSi droplets on Si(111) substrate subject to Si surface flux show that the supersaturation dependent surface tension destabilizes the contact line via formation of a precursor wetting film on the solid-vapor interface and has ramifications for size selection during droplet-catalyzed routes for nanowire growth. Our study sheds light on the interplay between stability and energetics of surfaces in this unique class of binary alloys and offers pathways for exploiting their surface structure for varied applications such as catalytic nanocrystal growth, dealloying, and polymer crystallization.

关键词： Crystal forms Growth Interface & surface thermodynamics Nanocrystals Structural phase transition 2-dimensional systems Surfaces Molecular dynamics

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design and Control of Continuum Robot for Using with Solar Cell System 2019

Design and Control of Continuum Robot for Using with Solar C...

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Proceedings of the 3rd International Conference on Vision, Image and Signal Processing

作者： Pattaraphon Boonchai Karuna Tuchinda Mechanical Engineering Simulation and Design The Sirindhorn International Thai-German Graduate School of Engineering King Mongkut's University of Technology North Bangkok Thailand

ISBN: (纸本)9781450376259

Applications of continuum robot in the field of robotics facility have been advancing at a staggering pace due to their flexibility. The ability to control the continuum robot remotely and efficiently would be beneficial for many practical case, for example usage in narrow space, endoscopic and minimally invasive surgical procedures application. The ability to glide through complex curvilinear pathways makes it ideally suitable to be used with solar cell application as it could offer the movement that can follow the sun motion. This could enhance the efficiency of energy transformation of the solar cell as optimum radiation distance could be obtained. In this paper, the design of continuum robot with motion control to be used as solar cell installation supporting structure would be discussed. The continuum robot movement is controlled by an elastic backbone-liked structure. The controller is designed for closed loop control using Arduino programming. The effect of solar cell weight on the top with the maximum of 3 kg is considered. The structure movement required include bending, rotating, extension and compression. The research results showed that the designed system has a potential to be used as a solar cell installation support with smooth motion.

关键词： compression spring extension spring SIMULIA abaqus solar energy arduino programing continuum Robot 3D printer soft robot

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Multi-action deep reinforcement learning-based collaborative production dynamic scheduling approach for networked multi-factory under mass customization

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engineering Applications of Artificial Intelligence 2025年 157卷

作者： Liu, Mingzhou Ding, Zhengfu Zhang, Xi Ling, Lin Ge, Maogen School of Mechanical Engineering Hefei University of Technology Hefei230009 China Anhui Key Laboratory of Digital Design and Manufacturing Hefei University of Technology Hefei230009 China National Virtual Simulation Laboratory Teaching Center Hefei University of Technology Hefei230009 China

Increasing customization demand is accelerating the decentralization of manufacturing systems, elevating the distributed scheduling problem (DSP) to a prominent research focus. However, the dynamic characteristics of mass customization (MC) and the practically adaptable networked multi-factory systems remain underexplored. To address this gap, this study formulates a networked multi-factory collaborative production scheduling problem in the context of MC (MC-NMF-CPSP), and proposes a solution framework based on multi-action deep reinforcement learning (MA-DRL). The framework formulates a multiple Markov Decision Process (MMDP) incorporating a multi-dimensional state space, a two-stage action space, and a composite reward, providing a unified modeling paradigm for high-dimensional complex scheduling problems. To accurately characterize the dynamic demand, a consistent measurement model is proposed and embedded within the state space for efficient state representation. To enhance learning performance, an improved Proximal Policy Optimization (PPO) is developed, and a Multi-PPO architecture is integrated to construct a networked multi-factory collaborative production scheduling model (MaDRL-NMF-CPSM), which demonstrates exceptional coordination and adaptability under dynamic demand environments. Furthermore, a retraining mechanism is introduced to enable continual model evolution, thereby improving robustness and generalization. Extensive experiments show that the proposed method significantly outperforms several benchmark algorithms and heuristic rules in terms of convergence efficiency, scheduling performance, and dynamic adaptability, offering a novel theoretical foundation and practical solution for collaborative scheduling in networked manufacturing systems under dynamic demand. © 2025 Elsevier Ltd

关键词： Film preparation

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Unusual Ordering Behavior of Co3al-Based Γ′ Phase with L12 Structure Predicted by the Thermodynamic Model with Support of First-Principles Calculations

SSRN

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SSRN 2022年

作者： Ali, Hamid Chen, Rong Chen, Hailian Zhao, Yan Zhao, Panhong Yang, Shuwen Wu, Bo Wen, Jiansen Zhang, Chubo Weng, Liangji Xie, Tianliang Cai, Qi Zhang, Longkun He, Zhihan Yao, Qipeng Zhang, Haifeng Sa, Baisheng Wen, Cuilian Lin, Maohua Liu, Yu Wang, Chunxu Multiscale Computational Materials Facility Key Laboratory of Eco-Materials Advanced Technology College of Materials Science and Engineering Fuzhou University Fuzhou350100 China Materials Design and Manufacture Simulation Facility School of Advance Manufacturing Fuzhou University Jinjiang 362200 China Department of Ocean and Mechanical Engineering Florida Atlantic University Florida Boca Raton33431 United States Central Iron & Steel Research Institute Group Beijing100081 China

The temperature and composition-dependent site preferences of the binary Co3Al, ternary, and quaternary Co3Al-based γ′ phase alloyed with Mi (Mi = Cr, Cu, Fe, Mn, Mo, Ni, Re, Ta, Ti, V, or W) were calculated for the first time using a two-sublattice thermodynamic model involving site occupying fractions (SOFs). The SOFs were calculated using a thermodynamic software package based on a thermodynamic database established in this work, where the temperature-dependent thermodynamic data were obtained using first-principles and phonon spectrum calculations. There is an obvious order-disorder transition for the stoichiometric and non-stoichiometric binary Co3Al as well as in ternary and quaternary Co3Al-based γ′ phase around the solvus temperature, while this character was not found in its counterpart Ni3Al-based γ′ phase. The additional alloying elements Mi modulate the order-disorder transition characteristics of Co3Al-based γ′-precipitate with different amplitudes. Based on the causal relationship of structure and mechanical properties, according to the modulating amplitude of the order-disorder transition behavior, we recommend that adding the additional alloying elements such as Cu, Mn, and Mo atoms make the mechanical properties degrade gradually, and thus the structural components avoid sudden damage, which is beneficial for the safety of the engine component at high operating temperature. © 2022, The Authors. All rights reserved.

关键词： Binary alloys

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Study on simulation Method of Virtual Material for Modal Characteristics of Steel-BFPC Joint Surface

Research Square

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Research Square 2021年

作者： Shen, Jia-Xing Chen, Yu Xu, Ping Zhang, Xing-Yuan Yu, Ying-Hua Li, Xiao-Jing Research Institute of Technology and Equipment for the Exploitation and Utilization of Mineral Resources Liaoning Technical University Fuxin123000 China School of Mechanical Engineering Liaoning Technical University Fuxin123000 China College of Mechanical Engineering Chaohu University Chaohu238000 China Key Lab of Intelligent Equipment Digital Design and Process Simulation Hebei Province Tangshan University Tangshan063000 China

Basalt fiber polymer concrete (BFPC) machine tool has the properties of lightweight and high damping, and the BFPC machine tool has excellent vibration damping and anti-vibration performance, which can improve the processing performance of the machine tool. There are many steel-BFPC joint surfaces in the machine tool, and these joint surfaces have a key influence on the dynamic performance such as the modal performance of the machine tool. In order to establish a virtual material simulation analysis method for modal characteristics of steel-BFPC joint surface, the detection principle of contact parameters of steel-BFPC joint surface was studied by using forced vibration theory, and the contact parameter detection experiment of steel-BFPC joint surface was designed. The virtual material model of BFPC joint surface was established, and the theoretical formulas of equivalent elastic modulus and equivalent shear modulus were derived based on the identified parameters of the BFPC joint surface. For the correctness of the analysis theory, a BFPC bed was taken as an example to study the modal performance of the BFPC bed by means of experiment and virtual material simulation analysis, respectively. The results of simulation analysis were compared with the experimental results. The results show that the maximum error of the natural frequency is only 6.23%, and the modes of each order are consistent, which prove the effectiveness and accuracy of the virtual material © 2021, CC BY.

关键词： Machine tools

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Evaluation of critical experiments in the university of Wisconsin nuclear reactor (UWNR) with uncertainty quantification

Evaluation of critical experiments in the university of Wisc...

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2020 International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future, PHYSOR 2020

作者： Park, Young-Hui Cheng, Ye Elzohery, Rabab Wilson, Paul P.H. Roberts, Jeremy A. DeHart, Mark D. Computational Nuclear Engineering Research Group Department of Engineering Physics University of Wisconsin-Madison 1415 Engineering Drive MadisonWI53705 United States Computation and Optimization for Reactor Physics Simulation Group Department of Mechanical and Nuclear Engineering Kansas State University 3002 Rathbone Hall ManhattanKS66506 United States Reactor Physics Analysis and Design Department Idaho National Laboratory Idaho FallsID83415 United States

ISBN: (纸本)9781713827245

An improved computational model of the University of Wisconsin Nuclear Reactor (UWNR) was developed to support the benchmark evaluation of recent data acquired during an experimental campaign conducted at UWNR. Previous efforts led to a scripted UWNR model for automated generation of MCNP6 and Serpent inputs. This capability was extended to SCALE/KENO. All three tools were used to evaluate a variety of zero-power, fresh-critical configurations, and the results agreed well. The MCNP6 model was extended to support shuffling the core configuration, which allows the modeling of burnup for evaluation of depleted critical configurations. The MCNP6 model successfully predicts core reactivity over time, after accounting for the initial reactivity bias. The inclusion of SCALE/KENO input generation enables sensitivity and uncertainty analyses using the TSUNAMI and Sampler modules of SCALE. A preliminary uncertainty analysis was performed with TSUNAMI for nuclear data uncertainties while direct perturbation calculations were performed using MCNP6 for geometry and material uncertainties, which helped to identify model parameters with the largest effect on the eigenvalue. A transient UWNR transport Model in Mammoth/Rattlesnake is under development to simulate the transient experiments. The existing MCNP6 and Serpent models are used to provide the CAD file for meshing and homogenized cross-sections. In conclusion, the evaluation of UWNR benchmark data provides increased confidence in various states of the UWNR computational model and will provide a unique model for use by other analysts. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://***/licenses/by/4.0/).

关键词： Uncertainty analysis

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Centrifugal Microfluidic Based Painless Blood Sample Collection for Hematocrit Measurement

Centrifugal Microfluidic Based Painless Blood Sample Collect...

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Biomedical engineering International Conference (BMEiCON)

作者： Santi Rattanavarin Thanapat Sangkharat Ekachai Juntasaro Witsaroot Sripumkhai Pattaraluck Pattamang Norabadee Ranron Numfon Khemthongcharoen Chompunoot Sinthupibulyakit Chamras Promptmas Chayapitcha Saesue Jiraskul Udarwudhipong Wutthinan Jeamsaksiri Department of Production and Robotics Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok (KMUTNB) Bangkok Thailand Mechanical Engineering Simulation and Design Group (MESD) Sirindhorn International Thai-German Graduate School of Engineering (TGGS) King Mongkut’s University of Technology North Bangkok (KMUTNB) Bangkok Thailand Thai Microelectronics Center (TMEC) National Electronics and Computer Technology Center (NECTEC) National Science and Technology Development Agency (NSTDA) Chachoengsao Thailand Infrastructure Development Division (IDD) National Science and Technology Development Agency (NSTDA) Pathum Thani Thailand National Electronics and Computer Technology Center (NECTEC) National Science and Technology Development Agency (NSTDA) Pathum Thani Thailand Faculty of Medical Technology Huachiew Chalermprakiet University Samut Prakan Thailand Department of Biomedical Engineering Faculty of Engineering Mahidol University Nakhon Pathom Thailand

This work demonstrates a centrifugal microfluidic chip design for painless blood collection and hematocrit measurement. The fluid channel in the microfluidic chip was fabricated using a laser-cutting method. An optimal dimension of the negative pressure chamber was designed to control the maximum sample volume obtained for further hematocrit examination. The estimated blood sample of 20 µl could be obtained based on the negative pressure driven by finger press actuation on the negative pressure chamber of the microfluidic chip. The repeatability of blood volume collection evaluated by a laboratory technician was 21.126±0.001 µl with a coefficient of variation (CV) of 5.32%. The sample volume used in this centrifugal microfluidic chip was around three times lower than that used in the standard method. Pack red cell preparation for hematocrit examination in the microfluidic chip could be achieved using a centrifugation speed around 2.4 times lower than that used in the standard method. The hematocrit examination by our centrifugal microfluidic chip and the standard method was 41.75±0.77 (1.84 %CV), and 41.5±0.71 (1.7 %CV), respectively. The results showed that the hematocrit measurements in our centrifugal microfluidic chip were compatible with those measured by the standard method.

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design and fusion deposit modelling of radial flow centrifugal pump

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Materials Today: Proceedings 2020年 33卷 3497-3503页

作者： T. Micha Premkumar Vootla Pushpak K. Vamsi Krishna D. Govardhan Reddy Naga Sudheer Kumar V. Hariram S. Seralathan R.S. Nakandhrakumar Department of Mechanical Engineering Hindustan Institute of Technology and Science Padur Chennai Tamil Nadu India Department of Aeronautical Engineering Hindustan Institute of Technology and Science Padur Chennai Tamil Nadu India Center for Simulation and Engineering Design Hindustan Institute of Technology and Science Padur Chennai Tamil Nadu India

Fusion Deposit Modeling (FDM) is a 3D Printing method which builds layer–by-layer of a component by the melting and deposition of plastic through the moving nozzle. Any complex shape which is not possible by convention fabrication technique can be fabricated using this technique. Moreover, this technique allow the innovator to develop the prototype much faster than the convention method. The complex shape prototype that chosen in this work is the radial flow centrifugal pump and it is the most common and widely used kinetic energy pump. The digital model of the centrifugal pump was prepared using the solidworks. The different component of the centrifugal pump like impeller, casing, suction and shaft also modeled and assembled. The design details of the impeller of the pump and casing is arrived after careful design calculation and it is prepared in such a way to have more efficiency of converting energy in the impeller. The impeller blades, shape, number of blades are arrived based on the total head and discharge. These impeller, suction, casing and shaft all are fabricated by using the FDM of 3D printer using ABS Plastic. The design plays a major role in preparing the centrifugal pump impeller and other components. The fabricated component should be matched accurately while assembly. Moreover, the components fabricated using the rapid prototyping solve the purpose when compare to the other conventional methods. Moreover this FDM technique is successfully benefited in manufacturing light weight prototype, tooling and creating customized design. However, the quality of prototype developed through this technique is relatively lower than the other formative or subtractive technique. This challenges in this technique is addressed by analyzing the microscopic structure of the ABS plastic and presented in this paper.

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Carbon percentage yield characterisation of empty fruit bunch derived activated carbon with ultrasonic treatment enhancement

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AIP Conference Proceedings 2024年第1期2991卷

作者： Nor Afzanizam Samiran Nurul Farhana Mohammad Rosly Muhammad Suhail Sahul Hamid Department of Mechanical Engineering Technology Faculty of Engineering Technology Universiti Tun Hussein Onn Malaysia Pagoh Johor 84600 Malaysia Integrated Engineering Simulation and Design (IESD) Focus Group Universiti Tun Hussein Onn Malaysia Pagoh Higher Education Hub 84600 Pagoh Muar Johor Malaysia Els Energy and Lab Solutions Sdn Bhd No.11A Tingkat Merpati Dua Taman Transkrian 14300 Nibong Tebal Pulau Pinang Malaysia

A poor management of solid residues from the oil palm industry is detrimental to health and the environment. One of the most produced wastes is the empty fruit bunch (EFB). Converting EFB into a valuable product like activated carbon (AC) is a promising method for the appropriate management of waste. Thus, the present study aims to investigate the performance of AC production using EFB as a raw material in terms of carbon yield characteristics. AC was generated by first using the impregnation process of a mixture of dried EFB and Potassium Hydroxide, followed by physical activation in a tube furnace. The impacts of ultrasonic activation duration (0, 45, and 90 minutes) and activation temperature (300, 500, and 700°C) on the carbon yield properties of the AC were evaluated. The surface chemistry of activated carbon was analyzed using Fourier transform infrared spectroscopy (FTIR). The FTIR result found that the detected functional groups from the aromatic group were the alkane group, -C-H, the strong hydroxyl group, O-H, the alkyl C-H stretch, and the carbon compound, C=C stretch. The percentage yield was also found to be maximum (71.02%) under the conditions of 45 minutes of ultrasonic exposure time and 500°C activation temperature.

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