Use of the Correlation between Grain Size and Crystallographic Orientation in Crystal Plasticity Simulations: Application to AISI 420 Stainless Steel

Abstract

Crystal plasticity models attempt to reproduce the complex deformation processes of polycrystalline metals based on a virtual representation of the real microstructure. When choosing this representation, a compromise must be made between level of detail at the local level and statistical significance of the aggregate properties, also taking into account the computational cost of each solution. In this work, the correlation between crystallographic orientation and grain size is considered in the definition of virtual microstructures for the simulation of the mechanical behavior of AISI 420 stainless steel (consisting of a ferrite matrix with large carbide precipitates), in order to improve the accuracy of the solution without increasing model complexity or computation time. Both full-field (DAMASK) and mean-field models (Visco Plastic Self Consistent (VPSC)) are used together in combination with experimental results to study the validity of the assumptions done in each of the models.

Analysis of ESAFORM 2021 cup drawing benchmark of an Al alloy, critical factors for accuracy and efficiency of FE simulations

“…The capacity of VPSC to simulate multiphase materials is exploited to consider grains of different sizes as if they were different phases. The adopted approach by UGent team is similar to the one described in [33].…”

“…For this purpose, only a few FE simulations using the polycrystalline model described by Eqs. ( 32)- (33) in "Caz2018polycrys, a polycrystalline model based on Cazacu single crystal law Caz2018singlecrys" Section were performed on uniaxial tension tests at θ=0°, 15°, 30°, 45°, 60°, 75° and 90°. In the FE simulations of any uniaxial tension test, the specimen is meshed with 570 ABAQUS C3D8R reduced integration elements (see Fig.…”

Crystal Plasticity

“…In terms of more theoretical works in which crystal plasticity model attempts were evaluated to reproduce the complex deformation processes of polycrystalline metals, Zubelewicz [1] has provided an extensive review on mechanisms-based transitional viscoplasticity and Nguyen et al [2] have made a short review of computational modeling of dislocation slip mechanisms. Masood Chaudry et al [3] have compared the results of Electron Backscatter Diffraction measurements and viscoplastic self-consistent calculations upon analysis of Ca-induced plasticity in Mg alloys, while a similar approach was also applied by Galán-López and Hidalgo [4] to stainless steel. Other examples of such works are modeling the local deformation and transformation behavior of cast metal matrix composite by using a continuum mechanics-based crystal plasticity model (Qayyum et al [5]) or mathematical modeling of plastic deformation of a tube from dispersion-hardened aluminum alloy in an inhomogeneous temperature field (Matvienko et al [6]).…”