A novel genetic algorithm-based calibration framework for crystal plasticity parameters in DP780 steels using multiscale mechanical testing

Computational Materials Science, vol. 258, pp. 114088

Abstract

This study presents a robust genetic algorithm (GA)-based framework for calibrating crystal plasticity (CP) model parameters in dual-phase (DP) steels using multiscale mechanical testing. To overcome challenges associated with phase-specific parameter identification and temperature dependence, a two-stage calibration strategy is developed. In the first stage, nanoindentation tests at multiple temperatures are employed to determine the CP parameters of ferrite by matching simulated and experimental force–displacement curves. In the second stage, uniaxial tensile data are used to calibrate martensite parameters via representative volume elements (RVEs). The GA efficiently explores the high-dimensional parameter space and ensures fast convergence while maintaining physical consistency. Comparative results show that the GA-calibrated parameters outperform those obtained by conventional trial-and-error methods, with better alignment to experimental data. The proposed framework enables accurate and scalable CP calibration across different temperatures and offers broad applicability to multiscale modeling and alloy design. • A GA-based framework is developed for temperature-dependent calibration of CP models in DP steels. • Multiscale mechanical testing (nanoindentation and tensile tests) enables phase-specific CP parameters identification. • A two-stage strategy is proposed to sequentially calibrate ferrite and martensite parameters. • The calibrated CP parameters show strong agreement with experimental data across a range of temperatures. • The method improves calibration efficiency and is applicable to multiscale modeling and alloy design.

Authors 4

1. Linghao Kong corresponding Aachen Institute of Metal Forming

   RWTH Aachen University

   Affiliation as printed

   Institute of Metal Forming(IBF), RWTH Aachen University, Intzestraße 10, Aachen, 52072, Germany

2. Manuel Henrich Aachen Institute of Metal Forming

   RWTH Aachen University

   Affiliation as printed

   Institute of Metal Forming(IBF), RWTH Aachen University, Intzestraße 10, Aachen, 52072, Germany

3. Sophie Stebner Aachen Institute of Metal Forming

   RWTH Aachen University

   Affiliation as printed

   Institute of Metal Forming(IBF), RWTH Aachen University, Intzestraße 10, Aachen, 52072, Germany

4. Sebastian Münstermann Aachen Institute of Metal Forming

   RWTH Aachen University

   Affiliation as printed

   Institute of Metal Forming(IBF), RWTH Aachen University, Intzestraße 10, Aachen, 52072, Germany