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MBWK织物增强复合材料头盔外壳的工艺诱导变形特性

Process-Induced Distortions Characterization of MBWK Fabric Reinforced Composite Helmet Shell.

作者信息

Xiang He, Jiang Yaming, Qi Yexiong, Li Jialu

机构信息

School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China.

Key Laboratory of Advanced Textile Composite of Ministry of Education, Tiangong University, Tianjin 300387, China.

出版信息

Materials (Basel). 2020 Jul 4;13(13):2983. doi: 10.3390/ma13132983.

DOI:10.3390/ma13132983
PMID:32635477
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7372329/
Abstract

In order to characterize the process-induced distortions of 3D thin shell composites with complex shape, the multilayered biaxial weft knitted (MBWK) fabric reinforced high-performance composite helmet was selected as the research object, and the 3D laser scanning machine was used to scan the helmet surface, then the 3D scanning data was compared with the CAD model to evaluate the deformation. The results and discussion indicated that the conventional method was workable, but the speed of convergence was slow and the calculation results were easy to drop into local optimization. According to detailed analysis, a measurement method focusing on the principle of "Feature Distance" was developed. The measurement results shown that this method can not only give accurate results, but also reduce working procedure and greatly save the computing resources, which is proved to be a feasible approach for the deformation measurement foundation of 3D thin shell textile composites.

摘要

为了表征复杂形状的三维薄壳复合材料的工艺诱导变形,选择多层双轴纬编(MBWK)织物增强高性能复合头盔作为研究对象,使用三维激光扫描仪扫描头盔表面,然后将三维扫描数据与CAD模型进行比较以评估变形。结果与讨论表明,传统方法可行,但收敛速度慢且计算结果容易陷入局部优化。经过详细分析,开发了一种基于“特征距离”原理的测量方法。测量结果表明,该方法不仅能给出准确结果,还能减少工作步骤并大大节省计算资源,被证明是一种用于三维薄壳纺织复合材料变形测量基础的可行方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d39e/7372329/10d59d52aa8d/materials-13-02983-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d39e/7372329/6345f4cdc2bb/materials-13-02983-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d39e/7372329/4e9ea140e11a/materials-13-02983-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d39e/7372329/27628f952cfd/materials-13-02983-g009.jpg
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