Computational material design for Q&P steels with plastic instability theory

Cheng, G.; Choi, K. S.; Hu, X. H.; Sun, X.

doi:10.1016/j.matdes.2017.07.029

Title: Computational material design for Q&P steels with plastic instability theory

Journal Article · Sun Oct 01 00:00:00 EDT 2017 · Materials & Design

DOI:https://doi.org/10.1016/j.matdes.2017.07.029· OSTI ID:1390412

Cheng, G.;

; Hu, X. H.; Sun, X.

In this paper, the deformation limits of Quenching and Partitioning (Q&P) steels are examined with the plastic instability theory. For this purpose, the constituent phase properties of various Q&P steels were first experimentally obtained, and used to estimate the overall tensile stress-strain curves based on the simple rule of mixture (ROM) with the iso-strain and iso-stress assumptions. Plastic instability theory was then applied to the obtained overall stress-strain curves in order to estimate the deformation limits of the Q&P steels. A parametric study was also performed to examine the effects of various material parameters on the deformation limits of Q&P steels. Computational material design was subsequently carried out based on the information obtained from the parametric study. The results show that the plastic instability theory with iso-stress-based stress-strain curve may be used to provide the lower bound estimate of the uniform elongation (UE) for the various Q&P steels considered. The results also indicate that higher austenite stability/volume fractions, less strength difference between the primary phases, higher hardening exponents of the constituent phases are generally beneficial for the performance improvement of Q&P steels, and that various material parameters may be concurrently adjusted in a cohesive way in order to improve the performance of Q&P steel. The information from this study may be used to devise new heat treatment parameters and alloying elements to produce Q&P steels with the improved performance.

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Research Organization:: Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC05-76RL01830

OSTI ID:: 1390412

Report Number(s):: PNNL-SA-124204; 453060037

Journal Information:: Materials & Design, Vol. 132, Issue C; ISSN 0264-1275

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

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Cited By (1)

Modeling for onset strain of deformation-induced martensite transformation in Q&P steel by a mean-field Eshelby approach Cao, Jingyi; Jin, Jianfeng; Wang, Lu Modelling and Simulation in Materials Science and Engineering, Vol. 27, Issue 8 https://doi.org/10.1088/1361-651x/ab41da	journal	September 2019

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