3D-printed high-toughness composite structures by anisotropic topology optimization
3D-printed high-toughness composite structures by anisotropic topology optimization
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DOI：
10.1016/j.compositesb.2023.110572
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发表时间：
2023-01-28
影响因子：
13.1
通讯作者：
Ueda, Masahito
中科院分区：
文献类型：
--
作者：
Ichihara, Naruki;Ueda, Masahito
结构的韧性对于防止灾难性故障至关重要。该研究介绍了一种设计框架，通过利用拓扑优化中获得的中间材料部分进行局部网格化来提高3D打印碳纤维增强复合材料结构的韧性。该框架是基于各向异性的拓扑优化考虑材料分数和材料取向。利用基于相场的方法对优化结果进行去均匀化处理，确定3D打印路径，并对三点弯曲梁问题进行了实验验证。结果表明，框架赋予了3D打印碳纤维增强复合材料结构的韧性。
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 aniso-tropic 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.