Coupling Computational Homogenization with Crystal Plasticity Modelling for Predicting the Warm Deformation Behaviour of AA2060-T8 Al-Li Alloy

Ali Abd El-Aty, Sangyul Ha, Yong Xu, Yong Hou, Shi Hong Zhang, Bandar Alzahrani, Alamry Ali, Mohamed M.Z. Ahmed

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

This study aimed to propose a new approach for predicting the warm deformation behaviour of AA2060-T8 sheets by coupling computational homogenization (CH) with crystal plasticity (CP) modeling. Firstly, to reveal the warm deformation behaviour of the AA2060-T8 sheet, isothermal warm tensile testing was accomplished using a Gleeble-3800 thermomechanical simulator at the temperatures and strain rates that varied from 373 to 573 K and 0.001 to 0.1 s−1. Then, a novel crystal plasticity model was proposed for describing the grains’ behaviour and reflecting the crystals’ actual deformation mechanism under warm forming conditions. Afterward, to clarify the in-grain deformation and link the mechanical behaviour of AA2060-T8 with its microstructural state, RVE elements were created to represent the microstructure of AA2060-T8, where several finite elements discretized every grain. A remarkable accordance was observed between the predicted results and their experimental counterparts for all testing conditions. This signifies that coupling CH with CP modelling can successfully determine the warm deformation behaviour of AA2060-T8 (polycrystalline metals) under different working conditions.

Original languageEnglish
Article number4069
JournalMaterials
Volume16
Issue number11
DOIs
StatePublished - Jun 2023

Keywords

  • AA2060-T8
  • computational homogenization
  • crystal plasticity modelling
  • dynamic recovery
  • storage and recovery processes

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