3D-printed high-toughness composite structures by anisotropic topology optimization

Naruki Ichihara; Masahito Ueda

doi:10.1016/j.compositesb.2023.110572

3D-printed high-toughness composite structures by anisotropic topology optimization

Naruki Ichihara, Masahito Ueda

College of Science and Technology

Nihon University

Research output: Contribution to journal › Article › peer-review

24 Citations (Scopus)

Abstract

The toughness of structures is essential to prevent catastrophic failure. This study introduced a design framework to improve the toughness of 3D-printed carbon fiber-reinforced composite structures by local latticing utilizing the intermediate material fraction obtained in the topology optimization. The framework was based on anisotropic topology optimization considering material fraction and material orientation. The optimized results were de-homogenized by the phase field-based technique to determine the 3D printing path. Experimental validations were carried out on a three-point bending beam problem. As a result, it was shown that the framework endowed toughness for the 3D-printed carbon fiber-reinforced composite structure.

Original language	English
Article number	110572
Journal	Composites Part B: Engineering
Volume	253
DOIs	https://doi.org/10.1016/j.compositesb.2023.110572
Publication status	Published - 15 Mar 2023

Keywords

3D printing
Anisotropy
Carbon fibers
Polymer-matrix composites (PMCs)

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10.1016/j.compositesb.2023.110572

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abstract = "The toughness of structures is essential to prevent catastrophic failure. This study introduced a design framework to improve the toughness of 3D-printed carbon fiber-reinforced composite structures by local latticing utilizing the intermediate material fraction obtained in the topology optimization. The framework was based on anisotropic topology optimization considering material fraction and material orientation. The optimized results were de-homogenized by the phase field-based technique to determine the 3D printing path. Experimental validations were carried out on a three-point bending beam problem. As a result, it was shown that the framework endowed toughness for the 3D-printed carbon fiber-reinforced composite structure.",

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N2 - The toughness of structures is essential to prevent catastrophic failure. This study introduced a design framework to improve the toughness of 3D-printed carbon fiber-reinforced composite structures by local latticing utilizing the intermediate material fraction obtained in the topology optimization. The framework was based on anisotropic topology optimization considering material fraction and material orientation. The optimized results were de-homogenized by the phase field-based technique to determine the 3D printing path. Experimental validations were carried out on a three-point bending beam problem. As a result, it was shown that the framework endowed toughness for the 3D-printed carbon fiber-reinforced composite structure.

AB - The toughness of structures is essential to prevent catastrophic failure. This study introduced a design framework to improve the toughness of 3D-printed carbon fiber-reinforced composite structures by local latticing utilizing the intermediate material fraction obtained in the topology optimization. The framework was based on anisotropic topology optimization considering material fraction and material orientation. The optimized results were de-homogenized by the phase field-based technique to determine the 3D printing path. Experimental validations were carried out on a three-point bending beam problem. As a result, it was shown that the framework endowed toughness for the 3D-printed carbon fiber-reinforced composite structure.

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KW - Anisotropy

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KW - Polymer-matrix composites (PMCs)

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3D-printed high-toughness composite structures by anisotropic topology optimization

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Keywords

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