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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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