Advances of physics-based precision modeling and simulation for manufacturing processes

被引:0
|
作者
Gang Wang [1 ]
Yi-Ming Rong [1 ,2 ]
机构
[1] Department of Precision Instruments and Mechanology,Tsinghua University
[2] Department of Mechanical Engineering,Worcester Polytechnic Institute
关键词
Material properties; Multiscale analysis; Physics-based modeling; Manufacturing process;
D O I
暂无
中图分类号
TH16 [机械制造工艺];
学科分类号
摘要
The development of manufacturing process concerns precision,comprehensiveness,agileness,high efficiency and low cost.The numerical simulation has become an important method for process design and optimization.Physics-based modeling was proposed to promote simulations with a high accuracy.In this paper,three cases,on material properties,precise boundary conditions,and micro-scale physical models,have been discussed to demonstrate how physics-based modeling can improve manufacturing simulation.By using this method,manufacturing process can be modeled precisely and optimized for getting better performance.
引用
收藏
页码:75 / 81
页数:7
相关论文
共 50 条
  • [1] Advances of physics-based precision modeling and simulation for manufacturing processes
    Wang, Gang
    Rong, Yi-Ming
    ADVANCES IN MANUFACTURING, 2013, 1 (01) : 75 - 81
  • [2] Advances of physics-based precision modeling and simulation for manufacturing processes
    Gang Wang
    Yi-Ming Rong
    Advances in Manufacturing, 2013, 1 : 75 - 81
  • [3] Physics-based modeling of metal additive manufacturing processes: a review
    Xu, Shuozhi
    Araghi, Mohammad Younes
    Su, Yanqing
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2024, 134 (1-2): : 1 - 13
  • [4] COMBINING PHYSICS-BASED MODELING AND ARTIFICIAL INTELLIGENCE FOR THE OPTIMIZATION OF BATTERY MANUFACTURING PROCESSES
    Franco, Alejandro A.
    Vijay, Utkarsh
    Saravanan, Soorya
    PROCEEDINGS OF ASME 2024 19TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE, MSEC2024, VOL 2, 2024,
  • [5] Physics-based simulation models for EBSD: advances and challenges
    Winkelmann, A.
    Nolze, G.
    Vos, M.
    Salvat-Pujol, F.
    Werner, W. S. M.
    14TH EUROPEAN WORKSHOP ON MODERN DEVELOPMENTS AND APPLICATIONS IN MICROBEAM ANALYSIS (EMAS 2015 WORKSHOP), 2016, 109
  • [6] Optimization of modeling and simulation in the use of physics-based mechatronic simulation
    Stich, P.
    Backhaus, J.
    Reinhart, G.
    Konstruktion, 2015, 67 (11-12): : 95 - 98
  • [7] Physics-based modeling and real-time simulation
    Chen, JX
    Yang, YG
    Wang, XS
    COMPUTING IN SCIENCE & ENGINEERING, 2001, 3 (03) : 98 - 102
  • [8] Physics-based modeling and predictive simulation of powder bed fusion additive manufacturing across length scales
    Meier C.
    Fuchs S.L.
    Much N.
    Nitzler J.
    Penny R.W.
    Praegla P.M.
    Proell S.D.
    Sun Y.
    Weissbach R.
    Schreter M.
    Hodge N.E.
    John Hart A.
    Wall W.A.
    GAMM Mitteilungen, 2021, 44 (03)
  • [9] Meshless methods for physics-based modeling and simulation of deformable models
    XiaoHu Guo
    Hong Qin
    Science in China Series F: Information Sciences, 2009, 52 : 401 - 417
  • [10] Meshless methods for physics-based modeling and simulation of deformable models
    Guo, XiaoHu
    Qin, Hong
    SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES, 2009, 52 (03): : 401 - 417