|About this Abstract
||NUMISHEET 2022: The 12th International Conference on Numerical Simulation of 3D Sheet Metal Forming Processes
||Yield Surface Prediction by Virtual Microstructure and Testing
||Junhe Lian, Wenqi Liu, Xabier Gastaņares, Fuhui Shen, Joseba Mendiguren
|On-Site Speaker (Planned)
The powerful mechanism of the multiscale modeling lies in the construction of a representative virtual microstructure model allowing consideration of the relevant material parameters and a virtual testing scheme bridging the equivalent quantities from microstructure to macroscopic level. In this study, we firstly aim to give an overview of various virtual microstructures with respects to the application of metals. The capability and limitation of these models to describe the comprehensive microstructure features are discussed. Secondly, we aim to give application examples incorporating such a multiscale modeling approach relying on the virtual microstructure and testing to correlate the microstructure to the yield surface for a single-phase steel, dual-phase steel, and an aluminum alloy. The focuses are on the construction of a specific virtual testing scheme for a robust prediction and upscaling of the microstructural-level data to the macroscopic phenomenological yield criteria and the texture evolution induced anisotropic hardening and r-value evolution.
||Definite: At-meeting proceedings