Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/178954
Title: An efficient method for multiscale modelling of the mechanical properties of additively manufactured parts with site-specific microstructures
Authors: Sun, Li
Chiang, Po-Ju
Singham, Jonathan Jeevan
Tan, Wei Xin
Jangam, John Samuel Dilip
Lai, Chang Quan
Keywords: Engineering
Issue Date: 2024
Source: Sun, L., Chiang, P., Singham, J. J., Tan, W. X., Jangam, J. S. D. & Lai, C. Q. (2024). An efficient method for multiscale modelling of the mechanical properties of additively manufactured parts with site-specific microstructures. Additive Manufacturing, 81, 103995-. https://dx.doi.org/10.1016/j.addma.2024.103995
Project: A1898b0043 
I1801E0028 
Journal: Additive Manufacturing 
Abstract: The ability to modulate microstructures at different locations within a part (i.e., site-specific microstructures) can lead to tailored properties and enhanced performance. However, it remains challenging to efficiently model the mechanical response of such materials due to the need for extensive multiscale analysis. To address this issue, we demonstrate through microstructure-based finite element simulations, that the mechanical properties of a randomly distributed two-phase microstructure are primarily dependent on the phase fraction. Therefore, by establishing a mathematical relationship between the phase fraction and mechanical properties, the local material properties can be efficiently calculated from the local microstructure. Later, these site-specific properties were incorporated into a finite element structure to predict the global mechanical properties of the sample part. To validate the effectiveness of the proposed method, low alloy steel with site-specific microstructures was fabricated using binder jet additive manufacturing by depositing varying concentrations of carbon binder at different locations inside the part. We observed a strong agreement between the experimental and simulation stress-strain responses of the steel samples. This method can potentially pave the way for the development of a non-destructive qualification method for additively manufactured parts, as well as provide an efficient approach to multiscale modeling of material behavior, which may help accelerate the design and innovation of novel material systems.
URI: https://hdl.handle.net/10356/178954
ISSN: 2214-7810
DOI: 10.1016/j.addma.2024.103995
Schools: School of Mechanical and Aerospace Engineering 
School of Materials Science and Engineering 
Research Centres: HP-NTU Digital Manufacturing Corporate Lab
Rights: © 2024 Elsevier B.V. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at: http://dx.doi.org/10.1016/j.addma.2024.103995.
Fulltext Permission: embargo_20260212
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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