Abstract
Computer simulations of metal forming provide an effective means to investigate the relationships between processing deformations and microstructure. Scalable parallel computer architectures enable the direct inclusion of the crystallographic-texture in finite elements used to discretize a workpiece. With evolving texture available, anisotropic properties are computed and used to evaluate a workpiece's response under loading. Two applications are presented here: flat-rolling and sheet-formability testing. The former demonstrates the ability to resolve property gradients arising from heterogeneous deformations through the workpiece thickness. The latter illustrates the ability to compute the impact of texture variations on the formability of metal under different loading states. In addition, the scalability of the formulation is shown with examples.
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Additional information
Paul R. Dawson earned his Ph.D. in civil engineering (solid mechanics) at Colorado State University in 1976. He is currently a faculty member at Cornell University.
Armand J. Beaudoin, Jr., earned his Ph.D. in mechanical engineering at Cornell University in 1993. He is currently a faculty member in the Department of Mechanical and Industrial Engineering at the University of Illinois at Urbana-Champaign.
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Dawson, P.R., Beaudoin, A.J. Incorporating crystallographic texture in deformation process simulations. JOM 49, 34–41 (1997). https://doi.org/10.1007/BF02914349
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DOI: https://doi.org/10.1007/BF02914349