Two-scale elastic property prediction of 3D printed continuous carbon fiber reinforced thermoplastic composite based on micro-computed tomography

Ruishen Lou, Huimin Li*, Baosheng Liu, Xianglin Chen, Yulin Wang

*此作品的通讯作者

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4 引用 (Scopus)
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摘要

A two-scale method combined with micro-CT is presented for the prediction of 3D printed continuous fiber reinforced thermoplastic composites. The proposed method is verified by tensile experiments. The distribution of voids and fibers is reconstructed and quantified by two micro-CT scans with different resolutions. Then the two-scale models are established according to the scanned data. Effective properties of fiber-rich region are predicted by the micro-scale analysis of the representative volume element, and then transferred into the meso-scale analysis. In meso-scale analysis, the high-fidelity generalized method of cells is applied to predicted elastic parameters of the printed samples. While maintaining the overall fiber volume fraction, the fiber volume fraction in the fiber-rich region is very important for the accuracy of prediction.

源语言英语
页(从-至)4069-4080
页数12
期刊Polymer Composites
44
7
DOI
出版状态已出版 - 7月 2023

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Lou, R., Li, H., Liu, B., Chen, X., & Wang, Y. (2023). Two-scale elastic property prediction of 3D printed continuous carbon fiber reinforced thermoplastic composite based on micro-computed tomography. Polymer Composites, 44(7), 4069-4080. https://doi.org/10.1002/pc.27380