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Title: Springback Prediction on Slit-Ring Test

Abstract

Advanced high strength steels (AHSS) are increasingly being used in the automotive industry to reduce vehicle weight while improving vehicle crash performance. One of the concerns in manufacturing is springback control after stamping. Although computer simulation technologies have been successfully applied to predict stamping formability, they still face major challenges in springback prediction, particularly for AHSS. Springback analysis is very complicated and involves large deformation problems in the forming stage and mechanical multiplying effect during the elastic recovery after releasing a part from the die. Therefore, the predictions are very sensitive to the simulation parameters used. It is very critical in springback simulation to choose an appropriate material model, element formulation and contact algorithm. In this study, a springback benchmark test, the slit ring cup, is used in the springback simulation with commercially available finite element analysis (FEA) software, LS-DYNA. The sensitivity of seven simulation variables on springback predictions was investigated, and a set of parameters with stable simulation results was identified. Final simulations using the selected set of parameters were conducted on six different materials including two AHSS steels, two conventional high strength steels, one mild steel and an aluminum alloy. The simulation results are compared with experimental measurementsmore » for all six materials and a favorable result is achieved. Simulation errors as compared against test results falls within 10%.« less

Authors:
;  [1]; ;  [2]
  1. United States Steel Corporation (United States)
  2. Ford Motor Company (United States)
Publication Date:
OSTI Identifier:
20726127
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: 10.1063/1.2011222; (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; ALGORITHMS; ALUMINIUM ALLOYS; BENCHMARKS; CARBON STEELS; COMPUTERIZED SIMULATION; DEFORMATION; ENGINEERING; FINITE ELEMENT METHOD; L CODES; MANUFACTURING; MATERIALS TESTING; PERFORMANCE

Citation Formats

Xiaoming, Chen, Shi, Ming F, Feng, Ren, and Xia, Z Cedric. Springback Prediction on Slit-Ring Test. United States: N. p., 2005. Web. doi:10.1063/1.2011222.
Xiaoming, Chen, Shi, Ming F, Feng, Ren, & Xia, Z Cedric. Springback Prediction on Slit-Ring Test. United States. doi:10.1063/1.2011222.
Xiaoming, Chen, Shi, Ming F, Feng, Ren, and Xia, Z Cedric. Fri . "Springback Prediction on Slit-Ring Test". United States. doi:10.1063/1.2011222.
@article{osti_20726127,
title = {Springback Prediction on Slit-Ring Test},
author = {Xiaoming, Chen and Shi, Ming F and Feng, Ren and Xia, Z Cedric},
abstractNote = {Advanced high strength steels (AHSS) are increasingly being used in the automotive industry to reduce vehicle weight while improving vehicle crash performance. One of the concerns in manufacturing is springback control after stamping. Although computer simulation technologies have been successfully applied to predict stamping formability, they still face major challenges in springback prediction, particularly for AHSS. Springback analysis is very complicated and involves large deformation problems in the forming stage and mechanical multiplying effect during the elastic recovery after releasing a part from the die. Therefore, the predictions are very sensitive to the simulation parameters used. It is very critical in springback simulation to choose an appropriate material model, element formulation and contact algorithm. In this study, a springback benchmark test, the slit ring cup, is used in the springback simulation with commercially available finite element analysis (FEA) software, LS-DYNA. The sensitivity of seven simulation variables on springback predictions was investigated, and a set of parameters with stable simulation results was identified. Final simulations using the selected set of parameters were conducted on six different materials including two AHSS steels, two conventional high strength steels, one mild steel and an aluminum alloy. The simulation results are compared with experimental measurements for all six materials and a favorable result is achieved. Simulation errors as compared against test results falls within 10%.},
doi = {10.1063/1.2011222},
journal = {AIP Conference Proceedings},
issn = {0094-243X},
number = 1,
volume = 778,
place = {United States},
year = {2005},
month = {8}
}