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Review on melt flow simulations for thermoplastics and their fiber reinforced composites in fused deposition modeling

Xuguang Xu, Huilin Ren, Shengyang Chen, Xiaofan Luo, Feihu Zhao Orcid Logo, Yi Xiong

Journal of Manufacturing Processes, Volume: 92, Pages: 272 - 286

Swansea University Author: Feihu Zhao Orcid Logo

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DOI (Published version): 10.1016/j.jmapro.2023.02.039

Abstract

Fused deposition modeling (FDM) has been one of the most widely used additive manufacturing techniques due to its ease of use and widespread availability. Recent years have witnessed a renaissance of research interest in FDM due to its rapid advances in creating high-performance and industrial-grade...

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Published in: Journal of Manufacturing Processes
ISSN: 1526-6125
Published: Elsevier BV 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa62999
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Abstract: Fused deposition modeling (FDM) has been one of the most widely used additive manufacturing techniques due to its ease of use and widespread availability. Recent years have witnessed a renaissance of research interest in FDM due to its rapid advances in creating high-performance and industrial-grade parts, e.g., fiber-reinforced polymer composites. Considerable efforts have been made to model the FDM process to reveal the underlying mechanisms that are not yet well understood. This study aims to provide a comprehensive review of recent progress on the melt flow simulations of polymers and their fiber-reinforced composites in FDM. Specifically, analytical and numerical methods for modeling the polymer melt flow in the extrusion and deposition are summarized and discussed. Additionally, the FDM process simulation for short and continuous fiber-reinforced polymer composites as an emerging research field is outlined and discussed. Finally, the outlook of future work on the numerical simulation of FDM is provided.
Keywords: Process simulation, Fused deposition modeling, Melt flow, Fiber-reinforced composites, Computational fluid dynamics
College: Faculty of Science and Engineering
Funders: X.Y. acknowledges the National Key Research and Development Program of China [Grant No. 2021YFB1715400], National Natural Science Foundation of China [Grant No. 52105261] and the Department of Education of Guangdong Province [No. 2022ZDZX3020].
Start Page: 272
End Page: 286

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