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A computational two scaled model for the simulation of micro‐heterogeneous low‐alloyed TRIP steels
Author(s) -
Gandhi Ashutosh,
Prüger Stefan,
Balzani Daniel
Publication year - 2016
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201610156
Subject(s) - austenite , microscale chemistry , materials science , martensite , bainite , trip steel , computation , ferrite (magnet) , metallurgy , diffusionless transformation , transformation (genetics) , plasticity , phase (matter) , microstructure , computer science , composite material , mathematics , algorithm , physics , biochemistry , mathematics education , chemistry , gene , quantum mechanics
In transformation induced plasticity (TRIP) steel a diffusionless austenitic‐martensitic phase transformation induced by plastic deformation can be observed, resulting in excellent macroscopic properties. In particular low‐alloyed TRIP steels, which can be obtained at lower production costs than high‐alloyed TRIP steel, combine this mechanism with a heterogeneous arrangement of different phases at the microscale, namely ferrite, bainite, and retained austenite. The macroscopic behavior is governed by a complex interaction of the phases at the micro‐level and the inelastic phase transformation from retained austenite to martensite. A reliable model for low‐alloyed TRIP steel should therefore account for these microstructural processes to achieve an accurate macroscopic prediction. To enable this, we focus on a multiscale method often referred to as FE 2 approach, see [6]. In order to obtain a reasonable representative volume element, a three‐dimensional statistically similar representative volume element (SSRVE) [1] can be used. Thereby, also computational costs associated with FE 2 calculations can be significantly reduced at a comparable prediction quality. The material model used here to capture the above mentioned microstructural phase transformation is based on [3] which was proposed for high alloyed TRIP steels, see also e.g. [8]. Computations based on the proposed two‐scale approach are presented here for a three dimensional boundary value problem to show the evolution of phase transformation at the microscale and its effects on the macroscopic properties. (© 2016 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)