Open Access System for Information Sharing

Login Library

 

Article
Cited 16 time in webofscience Cited 19 time in scopus
Metadata Downloads

Semi-analytic hybrid method to predict springback in the 2D draw bend test SCIE SCOPUS

Title
Semi-analytic hybrid method to predict springback in the 2D draw bend test
Authors
Lee, MGKim, DWagoner, RHChung, K
Date Issued
2007-11
Publisher
ASME-AMER SOC MECHANICAL ENG
Abstract
A simplified numerical procedure to predict springback in a 2D draw bend test was developed based on the hybrid method which superposes bending effects onto membrane solutions. In particular the procedure was appliedfor springback analysis of a specially designed draw bend test with directly controllable restraining forces. As a semi-analytical method, the new approach was especially useful to analyze the effects of various process and material parameters on springback. The model can accommodate general anisotropic yieldfunctions along with nonlinear isotropic-kinematic hardening under the plane strain condition. For sensitivity analysis, process effects such as the amount of bending curvature, normalized backforce andfiriction, as well as material property effects such as hardening behavior including the Bauschinger effect and yield surface shapes were studied. Also, for validation purposes, the new procedure was applied for the springback analysis of the dual-phase high strength steel and results were compared with experiments.
Keywords
springback; sheet metalforming; draw-bend test; plane strain analysis; anisotropic yield surface; nonlinear kinematic hardening; Bauschinger effect; dual-phase high strength steel; ANISOTROPIC YIELD FUNCTIONS; KINEMATIC HARDENING LAWS; BACK EVALUATION; RATCHETTING BEHAVIOR; CYCLIC PLASTICITY; DYNAMIC RECOVERY; CRITICAL STATE; PART I; SHEETS; STRAIN
URI
https://oasis.postech.ac.kr/handle/2014.oak/26239
DOI
10.1115/1.2745390
ISSN
0021-8936
Article Type
Article
Citation
JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME, vol. 74, no. 6, page. 1264 - 1275, 2007-11
Files in This Item:
There are no files associated with this item.

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Views & Downloads

Browse