Parameter identification based on deep drawing experiments

• Main Author: Trentin R.*
• Publication Date: 2009
• Other Authors: Munoz-Rojas P.A.*, Vaz Jr. M.*
• Format: Conference object
• Language: eng
• Source: Repositório Institucional da Udesc
• dARK ID: ark:/33523/0013000002s68
• Download full: https://repositorio.udesc.br/handle/UDESC/11156

Numerical simulation of metal forming processes requires a constitutive model and adequate material parameters. A direct determination of constitutive parameters usually allows only homogeneous stress and strain states in the specimen, thereby narrowing the application range to moderate deformations or even compromising accuracy in some industrial applications. Therefore, a combined experimental and numerical strategy based on optimization techniques is recommended. Such approach is generally known as parameter identification and can admit stress states close to those to be verified in the industrial operations. In this work, a parameter identification technique based upon deep drawing experiments is presented. Sensitivity analysis is performed using a modified and efficient finite difference method whereas the optimization procedure uses quadratic programming. © CIMNE.