journal article·2023-07

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

Polymer Composites· Volume 44· Issue 7
Publisher page

Abstract

Abstract 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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Additive Manufacturing and 3D Printing Technologies · Composite Material Mechanics · Innovations in Concrete and Construction Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Advanced Structure Technology Beijing Institute of Technology Beijing China

Beijing Key Laboratory of Lightweight Multi‐Functional Composite Materials and Structures Beijing Institute of Technology Beijing China

State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology Beijing China

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China

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