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Title: Correlation of FEA Prediction And Experiments On Dual-Phase Steel Automotive Rails

Abstract

The North American Auto/Steel Partnership (A/SP) High-Strength Steel Forming Project Team has been studying the impact of advanced high-strength steels on stamping of structural components. Tooling was built to evaluate the effect of different grades of dual-phase steels on rail type stampings. The formed panels were laser scanned and the amount of springback was measured against the design intention. FEA simulation of the forming process was carried out to validate the numerical modeling techniques in the large and complex dual-phase steel stampings. The materials used in the study were Dual-Phase (DP) Steels DP600, DP780 and DP980. The FEA solver used was LS-Dyna version 971. The simulation results were correlated with the measurement data under various forming conditions including forming methods, trimming, binder and pad pressures. Reasonably good correlations were obtained across different grades of steels in terms of flange opening angles, wall opening angles, twist angles and dimensional deviations.

Authors:
 [1];  [2];  [3];  [4]; ;  [5]
  1. DaimlerChrysler Corporation, Auburn Hills, MI (United States)
  2. United States Steel Corporation, Troy, MI (United States)
  3. Dofasco Inc., Hamilton, ON (Canada)
  4. Severstal North America, Inc. Dearborn, MI (United States)
  5. Generalety, LLC, Livonia, MI (United States)
Publication Date:
OSTI Identifier:
21061780
Resource Type:
Journal Article
Resource Relation:
Journal Name: AIP Conference Proceedings; Journal Volume: 908; Journal Issue: 1; Conference: NUMIFORM 2007: 9. international conference on numerical methods in industrial forming processes, Porto (Portugal), 17-21 Jun 2007; Other Information: DOI: 10.1063/1.2740932; (c) 2007 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 36 MATERIALS SCIENCE; BINDERS; COMPUTERIZED SIMULATION; CORRELATIONS; DESIGN; FINITE ELEMENT METHOD; FLANGES; L CODES; LASERS; PANELS; STEELS; WALLS

Citation Formats

Du, C., Chen, X. M., Lim, T., Chang, T., Xiao, P., and Liu, S.-D. Correlation of FEA Prediction And Experiments On Dual-Phase Steel Automotive Rails. United States: N. p., 2007. Web. doi:10.1063/1.2740932.
Du, C., Chen, X. M., Lim, T., Chang, T., Xiao, P., & Liu, S.-D. Correlation of FEA Prediction And Experiments On Dual-Phase Steel Automotive Rails. United States. doi:10.1063/1.2740932.
Du, C., Chen, X. M., Lim, T., Chang, T., Xiao, P., and Liu, S.-D. Thu . "Correlation of FEA Prediction And Experiments On Dual-Phase Steel Automotive Rails". United States. doi:10.1063/1.2740932.
@article{osti_21061780,
title = {Correlation of FEA Prediction And Experiments On Dual-Phase Steel Automotive Rails},
author = {Du, C. and Chen, X. M. and Lim, T. and Chang, T. and Xiao, P. and Liu, S.-D.},
abstractNote = {The North American Auto/Steel Partnership (A/SP) High-Strength Steel Forming Project Team has been studying the impact of advanced high-strength steels on stamping of structural components. Tooling was built to evaluate the effect of different grades of dual-phase steels on rail type stampings. The formed panels were laser scanned and the amount of springback was measured against the design intention. FEA simulation of the forming process was carried out to validate the numerical modeling techniques in the large and complex dual-phase steel stampings. The materials used in the study were Dual-Phase (DP) Steels DP600, DP780 and DP980. The FEA solver used was LS-Dyna version 971. The simulation results were correlated with the measurement data under various forming conditions including forming methods, trimming, binder and pad pressures. Reasonably good correlations were obtained across different grades of steels in terms of flange opening angles, wall opening angles, twist angles and dimensional deviations.},
doi = {10.1063/1.2740932},
journal = {AIP Conference Proceedings},
number = 1,
volume = 908,
place = {United States},
year = {Thu May 17 00:00:00 EDT 2007},
month = {Thu May 17 00:00:00 EDT 2007}
}