A continuum sensitivity method for the design of multi-stage metal forming processes

被引:35
|
作者
Zabaras, N [1 ]
Ganapathysubramanian, S [1 ]
Li, Q [1 ]
机构
[1] Cornell Univ, Sibley Sch Mech & Aerosp Engn, Mat Proc Design & Control Lab, Ithaca, NY 14853 USA
关键词
computational design; materials process design; multi-stage deformation processing; metal forming; sensitivity analysis;
D O I
10.1016/S0020-7403(03)00048-1
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
A novel, efficient and mathematically rigorous continuum based sensitivity method is introduced that can be used to accurately evaluate the gradients of the objective function and constraints in the optimization-based design of multi-stage deformation processes. Weak sensitivity equilibrium equations are derived for the large deformation of the workpiece in each forming operation. This sensitivity kinematic problem is linearly coupled with the corresponding continuum sensitivity constitutive, contact and thermal sub-problems for the particular process. Thus a linear sensitivity problem with appropriate driving forces is identified and the analysis is carried out in an infinite dimensional framework. The multi-stage continuum sensitivity analysis takes a form similar to the updated Lagrangian sensitivity framework developed earlier for the design of single-stage deformation processes. It allows us to treat in a unified manner shape and parameter sensitivity analyses that are both present in a typical design problem of multi-stage deformation processes. The effectiveness of the proposed methodology is demonstrated with the solution of three practical problems in the design of two-stage metal forming processes. (C) 2003 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:325 / 358
页数:34
相关论文
共 50 条
  • [1] A gradient based optimization framework for the design of single and multi-stage metal forming processes
    Srikanth, Akkaram
    Zabaras, Nicholas
    American Society of Mechanical Engineers, Manufacturing Engineering Division, MED, 2000, 11 : 495 - 507
  • [2] New approach to optimal design of multi-stage metal forming processes with micro genetic algorithms
    Altair Engineering, Inc, Troy, United States
    Int J Mach Tools Manuf, 1 (29-44):
  • [3] A new approach to optimal design of multi-stage metal forming processes with micro genetic algorithms
    Roy, S
    Ghosh, S
    Shivpuri, R
    INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 1997, 37 (01): : 29 - 44
  • [4] Multi-stage metal forming: Variation and transformation
    Post, J.
    Klaseboer, G.
    Stinstra, E.
    van Amstel, T.
    Huetink, J.
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2009, 209 (05) : 2648 - 2661
  • [5] Design of Flexible Multi-Stage Processes
    Eynan, Amit
    Dong, Lingxiu
    PRODUCTION AND OPERATIONS MANAGEMENT, 2012, 21 (01) : 194 - 203
  • [6] Design of experiments for multi-stage processes
    Knof, M
    Farrow, M
    QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 1996, 12 (02) : 129 - 132
  • [7] Thickness distribution and design of a multi-stage process for sheet metal incremental forming
    Li, Junchao
    Hu, Jianbiao
    Pan, Junjie
    Geng, Pei
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2012, 62 (9-12): : 981 - 988
  • [8] Thickness distribution and design of a multi-stage process for sheet metal incremental forming
    Junchao Li
    Jianbiao Hu
    Junjie Pan
    Pei Geng
    The International Journal of Advanced Manufacturing Technology, 2012, 62 : 981 - 988
  • [9] An efficient strategy to describe the propagation of variation through multi-stage metal forming processes
    de Gooijer, B. M.
    Hazrati-Marangalou, J.
    Geijselaers, H. J. M.
    van den Boogaard, A. H.
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2018) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2018), 2018, : 5133 - 5141
  • [10] A continuum Lagrangian sensitivity analysis for metal forming processes with applications to die design problems
    Zabaras, N
    Bao, YG
    Srikanth, A
    Frazier, WG
    INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2000, 48 (05) : 679 - 720