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Understanding microstructure-property relationships of HPDC Al-Si alloy based on machine learning and crystal plasticity simulation

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Advances in Manufacturing 2024年第3期12卷 497-511页

作者： Qiang-Qiang Zhai Zhao Liu Ping Zhu State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai200240People’s Republic of China National Engineering Research Center of Automotive Power and Intelligent Control Shanghai Jiao Tong UniversityShanghai200240People’s Republic of China School of Design Shanghai Jiao Tong UniversityShanghai200240People’s Republic of China

Al-Si alloys manufactured via high-pressure die casting(HPDC)are suitable for a wide range of ***,the heterogeneous microstructure and unpredictable pore distribution of Al-Si high-pressure die castings result in significant variations in the mechanical properties,thus leading to a complicated microstructure-property relationship that is difficult to ***,a computational framework incorporating machine learning and crystal plasticity method is *** framework aims to provide a systematic and comprehensive understanding of this relationship and enable the rapid prediction of macroscopic mechanical properties based on the ***,we select eight variables that can effectively characterize the microstructural features and then obtain their statistical ***,based on 160 samples obtained via the Latin hypercube sampling method,representative volume elements are constructed,and the crystal plasticity fast Fourier transformation method is executed to obtain the macroscopic mechanical ***,the yield strength,elastic modulus,strength coefficient,and strain-hardening exponent are used to characterize the stress-strain curve,and Gaussian process regression models and microstructural variables are ***,sensitivity and univariate analyses based on these machine-learning models are performed to obtain insights into the microstructure-property relationships of the HPDC Al-Si *** results show that the Gaussian process regression models exhibit high accuracy(R^(2) greater than 0.84),thus confirming the viability of the proposed *** results of sensitivity analysis indicate that the pore size exerts the most significant effect on the mechanical ***,the proposed framework can not only be transferred to other alloys but also be employed for material design.

关键词： High-pressure die casting(HPDC) Machine learning Crystal plasticity Aluminum alloys

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design of an electronic device for detection of exhaled gas concentration 5

Design of an electronic device for detection of exhaled gas ...

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2024 5th International Conference on Electrical, Electronic Information and Communication Engineering, EEICE 2024

作者： Fan, Chuanxiu Liu, Xue Yu, Zhichao Du, Changsong Jia, Shengde Liu, Qing Yan, Pengbo Tianjin Key Laboratory of Film Electronic and Communication Device Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin300384 China Tianjin Chest Hospital Tianjin300384 China

To enable preliminary diagnosis of various diseases in the human body, detecting the concentrations of targeted components in exhaled gases is an effective way without invasive diagnosis. An exhaled gas concentration detection device is proposed in this paper. Firstly, this device employs a high-accuracy analog front end (AFE) for transmitting the concentrations of targeted components to an electronic voltage signal. The core circuit of AFE is a high-precision and low-current constant current source. Secondly, a heating circuit with controllable temperature is also designed to provide an appropriate operating temperature for different types of gas sensor materials. Thirdly, the system applies a microcontroller to directly read multiple-channel gas concentrations and independently control multiple heating circuits. The performance of the device has been validated through simulations. © Published under licence by IOP Publishing Ltd.

关键词： Computer resource management

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Bionic design and Optimization of a Rigid-Soft Hybrid Knee Exoskeleton

Bionic Design and Optimization of a Rigid-Soft Hybrid Knee E...

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2023 International Conference on design Science, ICDS 2023

作者： Zhang, Jing Guo, Yuantao Zhu, Aibin Wang, Xin Bao, Bingsheng Wang, Na Zhu, Jinliang Institute of Robotics & Intelligent Systems Xi’an Jiaotong University Xi’an China School of Construction Machinery Chang’an University Xi’an China Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi’an China Shaanxi Key Laboratory of Intelligent Robots Xi’an China

ISBN: (纸本)9798350343786

Knee exoskeletons have great potential in gait training and intervention for patients with knee osteoarthritis after surgery. Traditional single-axis rigid exoskeletons suffer from issues such as large joint volume, high inertia, and joint misalignment, significantly reducing wearer comfort. Soft exoskeletons can reduce the size and weight of artificial joints but lose the load support and mechanical limiting capabilities of rigid structures. This paper proposes a novel hybrid rigid-soft knee exoskeleton that employs a cross four-bar mechanism with loaded springs to mimic the multi-rotational center motion of the knee joint, avoiding joint misalignment and reducing the driving energy consumption of the exoskeleton. A genetic algorithm is used to optimize the structural parameters of the links and the stiffness coefficients of the springs by minimizing a weighted cost function composed of the deviation between the exoskeleton's rotation center and the user's knee joint, as well as the total potential energy of the system. Finally, a kinematic simulation is conducted to determine the linear relationship between the knee joint angle and the motor angle. © 2023 IEEE.

关键词： Cost functions

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An automatic docking method for large-scale sections based on real-time pose measuring and assembly deviation control

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Optoelectronics Letters 2023年第11期19卷 686-692页

作者： QIAO Zhifeng FU Kang LIU Zhenzhong Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical EngineeringTianjin University of TechnologyTianjin300384China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of TechnologyTianjin300384China

Aiming at the problem of poor accuracy consistency of large sections’docking assembly,an automatic docking method using multiple laser trackers to measure the position and posture of the docking sections in real time was *** the solution of the pose of the docking section,real-time pose measurement of the docking section was realized by establishing a global coordinate system and a coordinate fusion method of three or more laser *** the automatic control of the docking process,the real-time communication protocol and the circular negative feedback control strategy of measurement-adjustment-re-measurement are adopted,and the fully-automated docking of large sections is ***,an experimental verification system was set up,and the docking of the large-scale section reduction models was realized under the requirements of docking accuracy,and the effectiveness of the automatic docking scheme was successfully verified.

关键词： coordinate deviation system

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Real-time Energy Management of Low-carbon Ship Microgrid Based on Data-driven Stochastic Model Predictive Control

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CSEE Journal of Power and Energy systems 2023年第4期9卷 1482-1492页

作者： Hui Hou Ming Gan Xixiu Wu Kun Xie Zeyang Fan Changjun Xie Ying Shi Liang Huang the School of Automation Wuhan University of TechnologyWuhan 430070China the Shenzhen Research Institute Wuhan University of TechnologyShenzhen 518000China China Ship Development and Design Center Wuhan 430064China. Key Laboratory of Marine Intelligent Equipment and System Shanghai Jiao Tong UniversityShanghai 200240China the China Ship Development and Design Center Wuhan 430064China.

With increasing restrictions on ship carbon emis-sions,it has become a trend for ships to use zero-carbon energy such as solar to replace traditional fossil ***,uncer-tainties of solar energy and load affect safe and stable operation of the ship *** order to deal with uncertainties and real-time requirements and promote application of ship zero-carbon energy,we propose a real-time energy management strategy based on data-driven stochastic model predictive ***,we establish a ship photovoltaic and load scenario set consid-ering time-sequential correlation of prediction error through three *** steps include probability prediction,equal probability inverse transformation scenario set generation,and simultaneous backward method scenario set ***,combined with scenario prediction information and rolling op-timization feedback correction,we propose a stochastic model predictive control energy management *** each scenario,the proposed strategy has the lowest expected operational cost of control ***,we train the random forest machine learn-ing regression algorithm to carry out multivariable regression on samples generated by running the stochastic model predictive ***,a low-carbon ship microgrid with photovoltaic is *** results demonstrate the proposed strategy can achieve both real-time application of the strategy,as well as operational cost and carbon emission optimization performance close to stochastic model predictive *** Terms-Data-driven stochastic model predictive control,low-carbon ship microgrid,machine learning,real-time energy management,time-sequential correlation.

关键词： Data-driven stochastic model predictive control low-carbon ship microgrid machine learning real-time energy management time-sequential correlation.

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Improved Control Strategy for Permanent Magnet Synchronous Motor system Based on Speed sensorless Control

Improved Control Strategy for Permanent Magnet Synchronous M...

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2023 China Automation Congress, CAC 2023

作者： Jiang, Jun Wang, Chengsheng Duan, Wei Lan, Zhiming Li, Fan Yang, Qiongtao Institute of Metallurgical Industry Automation Research and Design Beijing China National Key Laboratory of Metallurgical Intelligent Manufacturing System Beijing China Beijing Aritime Intelligent Control CO. LTD. Beijing China

ISBN: (纸本)9798350303759

Permanent magnet synchronous motor (PMSM) has the characteristics of high efficiency, large rotational inertia, and fast dynamic response. In recent years, the speed sensorless control technology of PMSM has significant advantages, such as reduced costs, smaller volume, and enhanced system anti-interference. Therefore, it has become a research hotspot. This article relies on a set of 50kw AC-DC-AC SiC inverter, adopts a composite control strategy, and focuses on the optimized control method of PMSM without speed sensors at low, medium and high speeds. With the help of high-performance digital signal processor DSP28335, the switching of two control methods can be achieved and the system experiment in the full speed domain is completed. The experimental results are basically consistent with the measured values of the speed encoder. This verifies the effectiveness and accuracy of the speed sensorless control algorithm which has good theoretical guidance significance for engineering applications. © 2023 IEEE.

关键词： Digital signal processors

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design and Analysis of a Novel Weight Reduction system for Simulating Astronauts Walking in Low-Gravity Environment 8

Design and Analysis of a Novel Weight Reduction System for S...

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8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023

作者： Zhang, Jing Zhu, Jinliang Wang, Na Zhu, Aibin Wang, Xin Zhang, Zheng Xu, Haibo Institute of Robotics & Intelligent Systems Xi'An Jiaotong University Shaanxi Key Laboratory of Intelligent Robots Xi'an710049 China Rotor-Bearing System Key Laboratory of Education Ministry for Modern Design Xi'an710049 China School of Construction Machinery Chang'An University Xi'an710064 China

ISBN: (纸本)9798350300178

With the development of spaceflight, a strong demand for research on human activities in low-gravity or completely weightless environments in space has emerged. In this paper, a novel weight reduction system is designed to simulate astronauts walking in low-gravity environment. Based on the perfect static gravity balance, the system combines an active compensation strategy in which the wire tension mechanism drives the trunk support platform to assist people through wire-driven double parallelogram linkage. Passive balance is used to compensate partial weight of the body, and active control is used to achieve dynamic balance during the motion. In addition, static and dynamic balance control is used to evaluate the static and dynamic performance of the weight reduction system. The simulation results show that the system can significantly reduce the lower limb joint moments and ground reaction forces of the subjects, which verifies the feasibility of the system to simulate a low-gravity environment. © 2023 IEEE.

关键词： Manned space flight

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design, Modeling and Experiment of an Eccentric Mass-driven Spherical Robot 2

Design, Modeling and Experiment of an Eccentric Mass-driven ...

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2nd International Conference on design Science, ICDS 2024

作者： Mao, Han Xie, Tongtong Zhu, Aibin Zhang, Di Wu, Xinyu Li, Cheng Wang, Xin Xi'an Jiaotong University Institute of Robotics & Intelligent Systems Xi'an China Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi'an China Chang'an University School of Construction Machinery Xi'an China

ISBN: (纸本)9798350376289

The spherical robot's hermetically sealed spherical housing renders it flexible and capable of functioning continuously in harsh weather conditions and challenging environments. In order to address the issue of insufficient climbing ability of spherical robots, a single eccentric mass-driven spherical robot was designed. The climbing process of a spherical robot was subjected to analysis, with particular attention paid to the mass distribution of the robot's spherical shell and internal structure. A kinematics model and a dynamics model were developed to decompose the robot's motion into linear and steering motions. The mass size and swing amplitude of the eccentric mass are the key factors affecting the motion performance and stability of the spherical robot, and the swinging process of the heavy pendulum with different eccentric masses is analyzed. The experimental results indicate that the robot has a minimum turning radius of 0.5 m and is capable of climbing slopes with a gradient of 12°. The maximum error in the speed control of the spherical robot is 0.3314 rad/s. © 2024 IEEE.

关键词： Spheres

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Measuring Method and Experiments of Knee Joint Moment of Assisted Exoskeleton Based on Neural Network 8

Measuring Method and Experiments of Knee Joint Moment of Ass...

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8th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2023

作者： Jia, Yue Dang, Diyang Mao, Han Zhu, Aibin Wang, Xin Wang, Na Zhang, Zheng Xu, Haibo Institute of Robotics & Intelligent Systems Xi'An Jiaotong University Shaanxi Key Laboratory of Intelligent Robots Xi'an710049 China Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi'an710049 China School of Construction Machinery Chang'An University Xi'an710064 China

ISBN: (纸本)9798350300178

The research on the knee joint moment measurement method is of great significance for the moment control and efficiency measurement of the assisted exoskeleton. For most of the existing measuring methods are not suitable when wearing the assisted exoskeleton, knee joint moment measuring methods of assisted exoskeleton system based on Back-propagation (BP) neural network and Long short term memory (LSTM) neural network is proposed, in which surface EMG to joint moment mapping model is created. The estimation of knee moment at different load levels is realized. The experiment of human walking with a natural gait is verified. The root mean square error of the prediction is less than 17%, and the correlation coefficient is above 0.95. © 2023 IEEE.

关键词： Long short-term memory

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Advancements in graphene-based composites: A review of the emerging applications in healthcare

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Smart Materials in Medicine 2025年第1期6卷 120-138页

作者： Batool, Farwa Muhammad, Saz Muazzam, Rabia Waqas, Muhammad Ullah, Zia Roy, Shubham Zhang, Yinghe Wang, Ke Guo, Bing Department of Chemistry Lahore Garrison University DHA Phase VI Lahore Pakistan School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen518055 China School of Science Shenzhen Key Laboratory of Flexible Printed Electronics Technology Shenzhen Key Laboratory of Advanced Functional Carbon Materials Research and Comprehensive Application Harbin Institute of Technology Shenzhen518055 China Government Queen Mary Graduate College Lahore Pakistan

Graphene and related materials are emerging revolutionary materials due to fascinating stimuli-responsive physiochemical properties having widespread applications in developing advanced nano-systems for detection, diagnostics, and therapeutics in biomedical fields. Various materials like metal nanoparticles, polymers, dyes, drugs, and proteins could be combined yielding graphene-based composite materials (GBCMs) to synergistically fulfill different biomedical requirements. The 2D conjugated structure, easy surface functionalization via covalent or van der Waal interactions, and combination with different components for versatile functionalities altogether contribute to the development of GBCM for healthcare applications. This review specifically focuses on GBCMs and discusses specific material properties relevant to their material applications in healthcare. Furthermore, the synthesis, toxicity, and biocompatibility of these GBCMs, and their interactions with biological materials are thoroughly discussed. Importantly, the recent cutting-edge applications in the field of healthcare, including its role in the development of antibacterial, anti-viral, and photothermal therapies, wound healing, drug delivery, neurodegenerative disease therapy, and biosensing based on GBCMs are well-updated. Additionally, the applications of GBCMs in point-of-care devices, wearable electronics, and tissue engineering are well summarized. We hope this review opens up more possibilities to design more innovative healthcare materials derived from graphene. © 2025 The Authors

关键词： Biocompatibility

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