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Multi-scale modelling of evolving plastic anisotropy during Al-alloy sheet forming.

Authors :
Liu, Wencheng
Huang, Jia
Pang, Yong
Zhu, Ke
Li, Shugen
Ma, Jun
Source :
International Journal of Mechanical Sciences. Jun2023, Vol. 247, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Accurate modelling of local evolving texture and yield surface evolution in complex strain path are of crucial importance to the accurate sheet metal forming simulations. This work proposed a novel multi-scale computational scheme, in which the full-field crystal plasticity (CP) modelling is mapped and real-time updated into each integration point following the local strain path in the finite element (FE) model. By the real-time close-loop feedback and update between the FE model and CP model, the evolving texture and its induced anisotropic plasticity evolution are considered utilizing on-the-fly virtual tests in the full deformation field. To carefully verify the developed computational framework, a comprehensive validation including plastic anisotropy characterization, cyclic hardening tests and deep drawing tests is conducted in an AA6016-T4 aluminium sheet with strong cube texture using ESAFORM Benchmark 2021. By comparison with experimental results and the conventional approaches with constant yield surface for the forming case, the newly developed method is thoroughly validated, showing that the significant texture evolution is observed in large plastic deformation and various strain paths lead to different texture evolution. The local evolving texture induced plastic anisotropy evolution has a considerable effect on the prediction accuracy of the deep drawing simulations, such as earing profile, wall thickness and loading history. Additionally, this method does not increase too much computation cost, enabling cost-effectively simulation of complex forming processes. [Display omitted] • A multi-scale modelling framework for evolving texture and anisotropy is established. • The developed methods enable the analysis of complex plasticity behaviours. • The multi-scale model shows superior accuracy than conventional approaches. • The local texture evolution during forming is successfully predicted. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00207403
Volume :
247
Database :
Academic Search Index
Journal :
International Journal of Mechanical Sciences
Publication Type :
Academic Journal
Accession number :
163587572
Full Text :
https://doi.org/10.1016/j.ijmecsci.2023.108168