Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/182389
Title: A multi-scale constitutive model for AlSi10Mg alloy fabricated via laser powder bed fusion
Authors: Lei, Mingqi
Aditya, Ramesh
Liu, Lu
Wu, Mao See
Wang, Jundong
Zhou, Kun
Yao, Yao
Keywords: Engineering
Issue Date: 2025
Source: Lei, M., Aditya, R., Liu, L., Wu, M. S., Wang, J., Zhou, K. & Yao, Y. (2025). A multi-scale constitutive model for AlSi10Mg alloy fabricated via laser powder bed fusion. International Journal of Solids and Structures, 306, 113111-. https://dx.doi.org/10.1016/j.ijsolstr.2024.113111
Journal: International Journal of Solids and Structures 
Abstract: Additively Manufactured (AM) aluminum alloys find extensive applications in various fields due to their favorable properties. Numerical simulations play a crucial role in reducing experimental costs and enhancing reliability. Developing a reliable constitutive numerical model requires careful consideration of the hierarchical microstructure inherent in AM aluminum alloys. In response, a multiscale constitutive model has been formulated for the AlSi10Mg alloy, fabricated through laser powder bed fusion. This model incorporates crystal plasticity theory and micromechanics-based homogenization methods to establish representative volume elements at different length scales. These scales include the grain scale, polycrystalline scale, and macro scale, thus facilitating a seamless transition between them. The model is calibrated using macroscopic and average phase stress–strain relationships, demonstrating its capability to predict lattice strain in each phase. Additionally, this model incorporates a quantitative analysis of the effects of two-phase structure, melt pool structure, and porosity by adjusting microstructure parameters. The developed model is embedded into a user-defined material subroutine, providing an efficient approach to investigate microstructure-property relationships in AM alloys.
URI: https://hdl.handle.net/10356/182389
ISSN: 0020-7683
DOI: 10.1016/j.ijsolstr.2024.113111
Schools: School of Mechanical and Aerospace Engineering 
Rights: © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:MAE Journal Articles

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