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Dynamic analysis of a vehicle with leaf spring based on the hysteresis model

Inderscience Publishers 2018年第3期4卷 282-304页

作者： Zhang, Jie Zou, Gaoyuan Zhang, Nong Zheng, Minyi Zhang, Bangji Zhang, Liqin State Key Laboratory of Advanced Design and Manufacture for Vehicle Body Hunan University Changsha410082 China School of Automotive and Transportation Engineering Hefei University of Technology Hefei230009 China

Leaf spring is an important elastic component of suspension systems and their hysteretic characteristics can affect the vehicle’s performance. Thus, the hysteretic behaviour of leaf spring needs to be accurately modelled in the vehicle suspension model. In the paper, a nonlinear model (Bouc–Wen model) of leaf springs is employed to describe the hysteresis induced by inter-friction between the leaves of leaf springs. The results illustrate that this proposed model can predict the restoring forces under the load test well. A numerical simulation has been carried out to show the effectiveness of this method. The Bouc–Wen model has a satisfactory expression accuracy for presenting the restoring force of leaf spring compared to the FEA model. The vehicle model with leaf spring based on the Bouc–Wen model is also developed to study the effect of hysteresis nonlinearity on the ride comfort in this paper. Copyright © 2018 Inderscience Enterprises Ltd.

关键词： Hysteresis

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A multi-scale spatial–temporal interaction fusion network for digital twin-based thermal error compensation in precision machine tools

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Expert Systems with Applications 2025年 286卷

作者： Ma, Chi Mu, Rongfeng Li, Mingming He, Jialong Hua, Chunlei Wang, Liang Liu, Jialan Totis, Giovanni Yang, Jun Liu, Kuo Zhou, Yuansheng Zhou, Jianqiang Deng, Xiaolei Weng, Shengbin College of Mechanical and Vehicle Engineering Chongqing University Chongqing400044 China State Key Laboratory of Mechanical Transmission for Advanced Equipment Chongqing University Chongqing400044 China Academy of Aerospace Solid Propulsion Technology Xi'an710025 China Key Laboratory of CNC Equipment Reliability Ministry of Education Jilin University Jilin Changchun130022 China Kunming Branch Genertec Machine Tool Engineering Research Institute Co. Ltd. Kunming650203 China Shenyang Branch Genertec Machine Tool Engineering Research Institute Co. Ltd. Shenyang110142 China School of Construction Machinery Chang'an University Xi'an710064 China Polytechnic Department of Engineering and Architecture University of Udine Via delle Scienze 206 Udine33100 Italy State Key Laboratory for Manufacturing Systems Engineering Xi'an Jiaotong University Shaanxi Xi'an710049 China School of Mechanical Engineering Dalian University of Technology Liaoning Dalian116024 China State Key Laboratory of Precision Manufacturing for Extreme Service Performance Central South University Hunan Changsha410083 China School of Mechanical Engineering Quzhou University Zhejiang Quzhou324000 China Engineering Training Center Quzhou University Zhejiang Quzhou324000 China

The machining accuracy of precision machine tools (PMTs) directly determines the quality of high-accuracy and complex components and thermal error (TE) significantly affects the machining accuracy of PMTs. The TE compensation is an effective way to reduce its effect and improve the machining accuracy. But the real-time performance of the TE compensation system and the prediction performance and robustness of the TE model are weak. In this study, a multi-scale spatial–temporal interaction fusion network (MSIFN) is designed and embedded into a digital twin framework for TE compensation to address the above issues. The efficient multi-scale squeeze-and-excitation network (EMSENet), spatial graph convolutional network (SGCN), and gated recurrent unit-temporal convolutional network (GRU-TCN) modules are designed for the MSIFN model to comprehensively capture and integrate spatial–temporal behaviors of thermal data. The EMSENet module is designed to emphasize critical features and suppress noise through multi-scale and channel attention mechanisms. The SGCN is able to realize accurate spatial relationship modeling, while the GRU-TCN is used to fuse spatial and temporal features, enhancing predictive accuracy and robustness. A lightweight digital twin-based TE compensation system is proposed, integrating the MSIFN model for real-time prediction and dynamic updates. Experimental results demonstrate the superior predictive performance of MSIFN, achieving a 38.9 % reduction in root mean square error and enhanced robustness compared to baseline models. Moreover, the total executing time of the TE compensation system based on the perception control-edge-cloud framework is reduced by 50.2 % compared with that of the TE compensation system based on the mist-cloud framework and that the reduction rates of the machining error is in the range of [61.5 %, 83.33 %] and [82.2 %, 83.3 %] at the initial and thermal states. This study provides a robust solution for improving machining acc

关键词： Machining centers

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Corrigendum: Fabrication of FP-cavity-based monolithic full-color filter arrays using a template-confined micro-reflow process (2019 J. Micromech. Microeng. 29 025008)

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Journal of Micromechanics and Microengineering 2022年第8期32卷 089501-089501页

作者： Yasi Wang Xupeng Zhu Yiqin Chen Huimin Shi Zhiqin Li Shi Zhang Qing Liu Yongtao Li Quan Xiang Huigao Duan College of Mechanical and Vehicle Engineering State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha 410082 People’s Republic of China School of Physics Science and Technology Lingnan Normal University Zhanjiang 524048 People’s Republic of China School of Physics and Electronics Hunan University Changsha 410082 People’s Republic of China Institute of Microelectronics of Chinese Academy of Sciences Beijing 100029 People’s Republic of China

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Corrigendum to “Experimental and numerical research on the performance characteristics of OPLVCR engine based on the NSGA II algorithm using digital twins” [Energy Convers. Manage. 236 (2021) 114052]

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Energy Conversion and Management 2021年 241卷

作者： Jinhuan Guan Yangyang Li Jingping Liu Xiongbo Duan Dazi Shen Dongdong Jia Caibang Ku State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha 410082 China Research Center for Advanced Powertrain Technologies Hunan University Changsha 410082 China State Key Laboratory of Automotive Safety and Energy Tsinghua University Beijing 100084 China Hunan Dazi Power Technology Co. LTD Changsha 410082 China

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Image-based reconstruction for the impact problems by using DPNNs

arXiv

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arXiv 2019年

作者： Li, Yu Wang, Hu Shuai, Wenquan Zhang, Honghao Peng, Yong State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle Engineering Hunan University Changsha410082 China Key Laboratory of Traffic Safety on Track Ministry of Education School of Traffic and Transportation Engineering Central South University Changsha410000 China Joint International Research Laboratory of Key Technology for Rail Traffic Safety Central South University Changsha410000 China

With the improvement of the pattern recognition and feature extraction of Deep Neural Networks (DPNNs), image-based design and optimization have been widely used in multidisciplinary researches. Recently, a Reconstructive Neural Network (ReConNN) has been proposed to obtain an image-based model from an analysis-based model [1, 2], and a steady-state heat transfer of a heat sink has been successfully reconstructed. Commonly, this method is suitable to handle stable-state problems. However, it has difficulties handling nonlinear transient impact problems, due to the bottlenecks of the Deep Neural Network (DPNN). For example, nonlinear transient problems make it difficult for the Generative Adversarial Network (GAN) to generate various reasonable images. Therefore, in this study, an improved ReConNN method is proposed to address the mentioned weaknesses. Time-dependent ordered images can be generated. Furthermore, the improved method is successfully applied in impact simulation case and engineering experiment. Through the experiments, comparisons and analyses, the improved method is demonstrated to outperform the former one in terms of its accuracy, efficiency and costs. Copyright © 2019, The Authors. All rights reserved.

关键词： Deep neural networks

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Robust concurrent topology optimization of structure and its composite material considering uncertainty with imprecise probability

arXiv

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arXiv 2019年

作者： Wu, Y. Li, Eric He, Z.C. Lin, X.Y. Jiang, H.X. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha410082 China School of Science Engineering & Design Teesside University Middlesbrough United Kingdom Guangxi Key Laboratory of Automobile Components and Vehicle technology Guangxi University of Science and Technology Liuzhou545006 China

This paper studied a robust concurrent topology optimization (RCTO) approach to design the structure and its composite materials simultaneously. For the first time, the material uncertainty with imprecise probability is integrated into the multi-scale concurrent topology optimization (CTO) framework. To describe the imprecise probabilistic uncertainty efficiently, the type I hybrid interval random model is adopted. An improved hybrid perturbation analysis (IHPA) method is formulated to estimate the expectation and stand variance of the objective function in the worst case. Combined with the bi-directional evolutionary structural optimization (BESO) framework, the robust designs of the structure and its composite material are carried out. Several 2D and 3D numerical examples are presented to illustrate the effectiveness of the proposed method. The results show that the proposed method has high efficiency and low precision loss. In addition, the proposed RCTO approach remains efficient in both of linear static and dynamic structures, which shows its extensive adaptability. Copyright © 2019, The Authors. All rights reserved.

关键词： Shape optimization

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Synthesis and characterization of functional chitosan-based microspheres as biodegradable yttrium-90 delivery system for radioembolization therapy

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International Journal of Biological Macromolecules 2025年 312卷 144090页

作者： Zhang, Haoyu Pan, Xiangni Wu, Qiang Wu, Yehuizi Zheng, Ningchao Ning, Shunyan Zeng, Deqian Chen, Lifeng Li, Wenlong Wang, Ji Jiang, Tianjiao Long, Xizhi Watabe, Hiroshi Wu, Hao Wu, Yan Wei, Yuezhou Yin, Xiangbiao School of Nuclear Science and Technology University of South China 28 Changsheng West Road Hengyang421001 China Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards School of Public Health Hengyang Medical School University of South China Hengyang421001 China Division of Radiation Protection and Safety Control Cyclotron and Radioisotope Center Tohoku University 6-3 Aoba Aramaki Aoba-ku Miyagi Sendai980-8578 Japan School of Nuclear Science and Engineering Shanghai Jiao Tong University 800 Dong Chuan Road Shanghai200240 China Key Laboratory of Advanced Nuclear Energy Design and Safety Ministry of Education University of South China 28 Changsheng West Road Hengyang China

Transarterial radioembolization (TARE) using yttrium-90 (90Y)-labeled glass and resin microspheres is an emerging therapeutic technique for hepatocellular carcinoma (HCC). However, the non-biodegradability and rapid settlement of current commercial microspheres might hinder their even distribution and repetitive administration thus causing unsatisfactory therapeutic effects. In this context, novel functional chitosan-based microspheres (CPIs) that can efficiently label Y as a favorable TARE material were developed for the first time by successive grafting poly (glycidyl methacrylate) (PGMA) and iminodiacetic acid (IDA) onto chitosan microspheres (CMs). The results confirmed that the CPIs had desirable spherical shapes with average diameters of around 20.9 μm, an ideal settlement rate within 5 min, and considerable biodegradability at 10th weeks. It reached Y adsorption equilibrium within 30 min and maintained the maximum adsorption capacity up to 14.95 mg g−1 at pH 6.0 following pseudo-second-order kinetic and Langmuir models. Additionally, Y-labeled CPIs were rather stable in vitro, for which Y would firmly interact with the sodium carboxylate group and tertiary amine nitrogen atoms on IDA, and its leakage when shaken in phosphate-buffered saline for 24 h was barely detected. Altogether, these properties of the as-developed CPIs hold great potential as promising radioembolization microspheres for TARE therapy against liver cancer. © 2025 Elsevier B.V.

关键词： Grafting (chemical)

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A general theoretical and experimental framework for nanoscale electromagnetism

A general theoretical and experimental framework for nanosca...

引用

Frontiers in Optics, FiO_2019

作者： Yang, Yi Zhu, Di Yan, Wei Agrawal, Akshay Zheng, Mengjie Joannopoulos, John D. Lalanne, Philippe Christensen, Thomas Berggren, Karl Soljacic, Marin 1Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA02139 United States Laboratoire Photonique Numerique et Nanosciences Institut dOptique dAquitaine Universit e Bordeaux CNRS Talence33405 France School of Engineering Westlake University No. 18 Shilongshan Road Hangzhou310024 China Key Laboratory of 3D Micro/Nano Fabrication and Characterization of Zhejiang Province School of Engineering Westlake University 18 Shilongshan Road Hangzhou Zhejiang Province310024 China College of Mechanical and Vehicle Engineering State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha410082 China

We introduce the mesoscopic electromagnetic boundary conditions and establish an experimental procedure to measure the dispersive surface response functions, enabled by observations of pronounced nonclassical effects... 详细信息

ISBN: (纸本)9781943580675

关键词： Atomic layer deposition Dispersion Gold Polarization Resonance Scattering

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Effects of the Novel Flow Field design on the DMFC Performance

Effects of the Novel Flow Field Design on the DMFC Performan...

引用

International Conference on Mechanical design, ICMD 2017

作者： Yang, Qinwen Zhu, Ying Xiao, Gang Hu, Xuqu State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha410082 China College of Mechanical and Vehicle Engineering Hunan University Changsha410082 China Intelligent Manufacturing Institute Hunan University of Science Technology Xiangtan411201 China

ISBN: (纸本)9789811065521

The effect of flow field plate designs on the performance of a single-cell direct methanol fuel cell (DMFC) stack was investigated. Different from the regular serpentine flow field design in a square area, a novel variable length serpentine flow field in a circular area is designed. The two designs take the same channel width, channel depth, rib width and active area. Based on the experiments, a computational fluid dynamics (CFD) model was developed and simulated to investigate the reasons for this change in performances between two designs. The CFD simulation showed that fuel distribution and the local current density distribution on the catalyst layer was more uniform for the variable length serpentine flow field. Furthermore, the generated current density from the DMFC with variable length serpentine flow field is also higher than the regular serpentine flow field. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Computational fluid dynamics

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Jacobi Spectral Collocation Method Based on Lagrange Interpolation Polynomials for Solving Nonlinear Fractional Integro-Differential Equations

引用

Advances in Applied Mathematics and Mechanics 2018年第6期10卷 1440-1458页

作者： Xingfa Yang Yin Yang Yanping Chen Jie Liu State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan UniversityChangsha 410082HunanChina Hunan Key Laboratory for Computation and Simulation in Science and Engineering Key Laboratory of Intelligent Computing&Information Processing of Ministry of EducationSchool of Mathematics and Computational ScienceXiangtan UniversityXiangtan 411105HunanChina School of Mathematical Sciences South China Normal UniversityGuangzhou 510631GuangdongChina Center for Research on Leading Technology of Special Equipment School of Mechanical and Electric EngineeringGuangzhou UniversityGuangzhou 510006GuangdongChina

In this paper,we study a class of nonlinear fractional integro-differential equations,the fractional derivative is described in the Caputo *** the properties of the Caputo derivative,we convert the fractional integro-differential equations into equivalent integral-differential equations of Volterra type with singular kernel,then we propose and analyze a spectral Jacobi-collocation approximation for nonlinear integro-differential equations of Volterra *** provide a rigorous error analysis for the spectral methods,which shows that both the errors of approximate solutions and the errors of approximate fractional derivatives of the solutions decay exponentially in L^(∞)-norm and weighted L^(2)-norm.

关键词： Spectral method nonlinear fractional derivative Volterra integro-differential equations Caputo derivative

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