Design and analysis of large deformation continuous elastoplastic manufacturing processes via a steady displacement-based formulation

D. Balagangadhar, D. A. Tortorelli

Research output: Contribution to conferencePaper

Abstract

A reference frame formulation for large deformation steady state processes is proposed. The displacement and material state variables appear as the primary response fields in this mixed formulation. Unlike displacement based Lagrangian formulations, our formulation does not require a transient analysis to simulate a quasi-steady process and yields results that are free of numerical oscillations and which require considerably less computational effort. And unlike velocity based Eulerian methods, our formulation does not require free surface corrections or streamline integration algorithms. An iterative design environment for quasi-steady forming processes is developed from the computationally efficient reference frame formulation. The direct differentiation method is used to efficiently evaluate the response sensitivities. Select forming response measures and their sensitivities are combined with nonlinear programming methods to optimize the process. To illustrate these methods, the die shape in a drawing process is designed to minimize the distortion of the work-piece.

Original languageEnglish (US)
Pages1396-1406
Number of pages11
StatePublished - Jan 1 1998
Event7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 1998 - St. Louis, United States
Duration: Sep 2 1998Sep 4 1998

Other

Other7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 1998
CountryUnited States
CitySt. Louis
Period9/2/989/4/98

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering

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    Balagangadhar, D., & Tortorelli, D. A. (1998). Design and analysis of large deformation continuous elastoplastic manufacturing processes via a steady displacement-based formulation. 1396-1406. Paper presented at 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 1998, St. Louis, United States.