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Statistical analysis of finite element modeling in sheet metal forming and springback analysis

journal contribution
posted on 2008-07-01, 00:00 authored by S Asgari, Michael PereiraMichael Pereira, Bernard RolfeBernard Rolfe, Matthew Dingle, Peter HodgsonPeter Hodgson
This work focuses on development of a method to statistically study forming and springback problems of TRansformation Induced Plasticity (TRIP) through an industrial case study. A Design of Experiments (DOE) approach was used to study the sensitivity of predictions to four user input parameters in implicit and explicit sheet metal forming codes. Numerical results were compared to experimental measurements of parts stamped in an industrial production line. The accuracy of forming strain predictions for TRIP steel were comparable with conventional steel, but the springback predictions of TRIP steel were far less accurate. The statistical importance of selected parameters for forming and springback prediction is also discussed. Changes of up to ±10% in Young's modulus and coefficient of friction were found to be insignificant in improving or deteriorating the statistical correlation of springback accuracies.

History

Journal

Journal of materials processing technology

Volume

203

Issue

1-3

Pagination

129 - 136

Publisher

Elsevier SA

Location

Zürich, Switzerland

ISSN

0924-0136

eISSN

1873-4774

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2007, Elsevier B.V