Influence of various material design parameters on deformation behaviors of TRIP steels

K. S. Choi, A. Soulami, W. N. Liu, X. Sun, M. A. Khaleel

Research output: Contribution to journalArticle

35 Citations (Scopus)

Abstract

In this paper, the microstructure-based finite element modeling method is used as a virtual design tool in investigating the respective influence of various material design parameters on the deformation behaviors of transformation-induced plasticity (TRIP) steels. For this purpose, the separate effects of several different material design parameters, such as the volume fraction and stability of austenite phase and the strengths of the constituent phases, on the ultimate tensile strength (UTS) and ductility/formability of TRIP steels are quantitatively examined using different representative volume elements (RVEs) representing different TRIP steels. The computational results suggest that higher austenite stability is helpful in enhancing the ductility and formability of TRIP steels by delaying the martensitic transformation to a later stage, whereas increase of austenite volume fraction and/or ferrite strength alone is not beneficial to improve the performance of TRIP steels. The results also indicate that various material design parameters must be adjusted concurrently to develop high-performance TRIP steels. The information based on investigations in this paper can help guide the development of high-performance TRIP steels by providing the microstructure level deformation mechanisms.

Original languageEnglish
Pages (from-to)720-730
Number of pages11
JournalComputational Materials Science
Volume50
Issue number2
DOIs
Publication statusPublished - 1 Dec 2010

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Keywords

  • Austenite stability
  • Austenite volume fraction
  • Finite element analysis (FEA)
  • Material design parameters
  • Microstructure
  • TRIP steels

ASJC Scopus subject areas

  • Computer Science(all)
  • Chemistry(all)
  • Materials Science(all)
  • Mechanics of Materials
  • Physics and Astronomy(all)
  • Computational Mathematics

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