Simulation-based data-driven design of digital short fibre reinforced composites

被引：1

作者：

Zhu, Yinan ^{[1
]}

He, Jian ^{[3
]}

Wang, Zhenhu ^{[3
]}

Xiong, Yi ^{[3
]}

Tang, Yunlong ^{[1
,2
]}

机构：

[1] Monash Univ, Mech & Aerosp Engn Dept, Melbourne 3800, Australia

[2] Monash Univ, Mat Sci & Engn Dept, Melbourne 3800, Australia

[3] Southern Univ Sci & Technol, Sch Syst Design & Intelligent Mfg, 1088 Xueyuan Ave, Shenzhen 518055, Peoples R China

来源：

COMPOSITES COMMUNICATIONS | 2023年 / 40卷

关键词：

TENSILE-STRENGTH;

D O I：

10.1016/j.coco.2023.101567

中图分类号：

TB33 [复合材料];

学科分类号：

摘要：

Additive manufacturing is a state-of-the-art method used to produce digital composites with complex structure and composition. One promising type of digital composite is Digital Short Fibre Reinforced Composite (DSFRC), whose properties can be digitally controlled by adjusting the material's micro or mesoscale structures. In this paper, we propose a simulation-based data-driven design approach to efficiently explore the property space of DSFRC. Our method can obtain optimal material descriptors to achieve tailored material properties.

引用

页数：8

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