Assessment of the predictive capabilities of commercial simulation software packages for the analysis of the C redistribution during Q&P processing

5th International Conference Recent Trends in Structural Materials

Klein, T.^1 ; Lukas, M.^1 ; Galler, M.^2 ; Ressel, G.^1

Materials Center Leoben Forschung GmbH, Roseggerstraße 12, Leoben

8700, Austria^1

Voestalpine Wire Rod Austria GmbH, Drahstraße 1, St. Peter Freienstein

8792, Austria^2

关键词: Constrained carbon equilibriums;    Industrial implementation;    Partial transformation;    Predictive capabilities;    Quenching and partitioning;    Simulation software package;    Transformation induced plasticity;    Two-step heat treatment;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/461/1/012039/pdf
DOI  :  10.1088/1757-899X/461/1/012039

来源: IOP

【 摘 要 】

The C enrichment of austenite is of great importance to different kinds of transformation-induced plasticity-aided steels. Particularly, quenching and partitioning - a two-step heat treatment process, which involves the partial transformation to martensite and the subsequent C partitioning to austenite and its concomitant stabilization - has received considerable attention in recent years. The present work assesses the applicability of commercial software packages (DICTRA and MatCalc) to predict the interplay of C enrichment of austenite and concomitant C depletion of martensite. Results are additionally compared to calculations based on the "constrained carbon equilibrium" (CCE) and, moreover, to experiments conducted for two exemplary material conditions. DICTRA simulations extend the CCE calculation in terms of time dependence and allow to account for the possible displacement of the phase boundary, but lack the implications of the martensitic structure. Predictions based on MatCalc more accurately reflect experimental observations. Data gained allows for the evaluation of the predictive capabilities of commercial simulation packages corresponding to a prerequisite for the industrial implementation of novel heat treatment strategies and the required process control.