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Title: Design of experiments and springback prediction for AHSS automotive components with complex geometry

Abstract

With the drive towards implementing Advanced High Strength Steels (AHSS) in the automotive industry; stamping engineers need to quickly answer questions about forming these strong materials into elaborate shapes. Commercially available codes have been successfully used to accurately predict formability, thickness and strains in complex parts. However, springback and twisting are still challenging subjects in numerical simulations of AHSS components. Design of Experiments (DOE) has been used in this paper to study the sensitivity of the implicit and explicit numerical results with respect to certain arrays of user input parameters in the forming of an AHSS component. Numerical results were compared to experimental measurements of the parts stamped in an industrial production line. The forming predictions of the implicit and explicit codes were in good agreement with the experimental measurements for the conventional steel grade, while lower accuracies were observed for the springback predictions. The forming predictions of the complex component with an AHSS material were also in good correlation with the respective experimental measurements. However, much lower accuracies were observed in its springback predictions. The number of integration points through the thickness and tool offset were found to be of significant importance, while coefficient of friction and Young's modulusmore » (modeling input parameters) have no significant effect on the accuracy of the predictions for the complex geometry.« less

Authors:
; ; ; ;  [1]
  1. School of Engineering and Technology, Faculty of Science and Technology, Deakin University, Waurn Ponds 3217 (Australia)
Publication Date:
OSTI Identifier:
20726125
Resource Type:
Journal Article
Journal Name:
AIP Conference Proceedings
Additional Journal Information:
Journal Volume: 778; Journal Issue: 1; Conference: NUMISHEET 2005: 6. international conference and workshop on numerical simulation of 3D sheet metal forming process, Detroit, MI (United States), 15-19 Aug 2005; Other Information: DOI: 10.1063/1.2011220; (c) 2005 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0094-243X
Country of Publication:
United States
Language:
English
Subject:
75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY; 36 MATERIALS SCIENCE; COMPUTERIZED SIMULATION; CORRELATIONS; DEFORMATION; DESIGN; FRICTION; GEOMETRY; MATERIALS WORKING; STEELS; STRAINS; THICKNESS; YOUNG MODULUS

Citation Formats

Asgari, A, Pereira, M, Rolfe, B, Dingle, M, and Hodgson, P. Design of experiments and springback prediction for AHSS automotive components with complex geometry. United States: N. p., 2005. Web. doi:10.1063/1.2011220.
Asgari, A, Pereira, M, Rolfe, B, Dingle, M, & Hodgson, P. Design of experiments and springback prediction for AHSS automotive components with complex geometry. United States. doi:10.1063/1.2011220.
Asgari, A, Pereira, M, Rolfe, B, Dingle, M, and Hodgson, P. Fri . "Design of experiments and springback prediction for AHSS automotive components with complex geometry". United States. doi:10.1063/1.2011220.
@article{osti_20726125,
title = {Design of experiments and springback prediction for AHSS automotive components with complex geometry},
author = {Asgari, A and Pereira, M and Rolfe, B and Dingle, M and Hodgson, P},
abstractNote = {With the drive towards implementing Advanced High Strength Steels (AHSS) in the automotive industry; stamping engineers need to quickly answer questions about forming these strong materials into elaborate shapes. Commercially available codes have been successfully used to accurately predict formability, thickness and strains in complex parts. However, springback and twisting are still challenging subjects in numerical simulations of AHSS components. Design of Experiments (DOE) has been used in this paper to study the sensitivity of the implicit and explicit numerical results with respect to certain arrays of user input parameters in the forming of an AHSS component. Numerical results were compared to experimental measurements of the parts stamped in an industrial production line. The forming predictions of the implicit and explicit codes were in good agreement with the experimental measurements for the conventional steel grade, while lower accuracies were observed for the springback predictions. The forming predictions of the complex component with an AHSS material were also in good correlation with the respective experimental measurements. However, much lower accuracies were observed in its springback predictions. The number of integration points through the thickness and tool offset were found to be of significant importance, while coefficient of friction and Young's modulus (modeling input parameters) have no significant effect on the accuracy of the predictions for the complex geometry.},
doi = {10.1063/1.2011220},
journal = {AIP Conference Proceedings},
issn = {0094-243X},
number = 1,
volume = 778,
place = {United States},
year = {2005},
month = {8}
}