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A multi-scale modelling framework for anisotropy prediction in aluminium alloy sheet and its application in the optimisation of the deep-drawing process

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Abstract

This study proposed a crystallographic texture-based multi-scale modelling framework to predict mechanical anisotropy of textured aluminium alloy sheet. The multi-scale scheme was constructed by the combination of a full-field crystal plasticity model in mesoscopic scale and a newly developed phenomenological yield function in continuum scale. In this approach, the mechanical anisotropy of materials is directly obtained from crystal plasticity (CP) modelling without extensive directional tensile tests. The results show that the multi-scale scheme predicted earing profiles coincide well with experimental measurements. This multi-scale modelling could be utilised to design an optimised blank shape with minimum earing for the deep-drawn component, and a convoluted cut-edge was devised accordingly.

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Availability of data and materials

The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

The authors acknowledge use of facilities within the Monash Centre for Electron Microscopy, Monash University.

Funding

This work is sponsored by National Natural Science Foundation of China [Grant Number: 12002211] and Shanghai Sailing Program [No. 20YF1432700].

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Authors and Affiliations

  1. School of Civil Aviation, Northwestern Polytechnical University, Xi’an, 710078, China

    Wencheng Liu

  2. Department of Mechanical and Aerospace Engineering, Monash University, Victoria, 3800, Australia

    Yong Pang

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  1. Wencheng Liu
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  2. Yong Pang
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Contributions

1. Wencheng Liu: conceptualisation, data collection, formal analysis, investigation, methodology, software, writing–original draft preparation

2. Yong Pang: data collection, investigation, resources, validation, writing–review and editing

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Correspondence to Yong Pang.

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Liu, W., Pang, Y. A multi-scale modelling framework for anisotropy prediction in aluminium alloy sheet and its application in the optimisation of the deep-drawing process. Int J Adv Manuf Technol 114, 3401–3417 (2021). https://doi.org/10.1007/s00170-021-07060-z

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