经编间隔织物增强硅橡胶复合材料压缩性能的有限元分析

IF 0.6 4区 工程技术 Q4 MATERIALS SCIENCE, TEXTILES AATCC Journal of Research Pub Date : 2022-08-29 DOI:10.1177/24723444221119846
Zi-xiang Zhou, Si Chen
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引用次数: 0

摘要

通过实验和有限元分析方法,研究了经编间隔织物增强硅橡胶复合材料在20%变形下的压缩行为。在压缩试验的基础上,包括复合材料和经编间隔织物的压缩试验,研究了复合材料的压缩行为。这表明该复合材料表现出优异的弹性恢复能力。此外,基于复合材料的几何参数和性能参数,建立了复合材料的有限元分析模型。将有限元分析模型的模拟结果与实验结果进行了比较,验证了模型的准确性。显然,压缩有限元分析模型与实验结果吻合良好,表明有限元分析方法可以有效地模拟复合材料的压缩性能。它是了解复合材料压缩机理和优化缓冲应用中复合材料参数的有用工具。
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Finite Element Analysis of Compression Behaviors of Silicone Rubber Composites Reinforced by Warp-Knitted Spacer Fabrics
In this study, the compression behaviors of silicone rubber composites reinforced by warp-knitted spacer fabrics under 20% deformation were investigated by experiment and a finite element analysis method. Based on the compression test, including the compression tests of composites and the warp-knitted spacer fabrics, the compression behaviors of composites were investigated. This revealed that the composites exhibited excellent elastic recovery abilities. Furthermore, the finite element analysis model of composites was established based on the parameters of the geometry and performance of the composites. The simulated results by the finite element analysis model were compared with the experimental ones to verify the accuracy of the model. It is obvious that the compressive finite element analysis model had good agreement with the experimental results, indicating that the compression performance of composites can be effectively simulated by the finite element analysis method. It is a useful tool for understanding the compression mechanism of composites and optimizing the composites’ parameters for cushioning applications.
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来源期刊
AATCC Journal of Research
AATCC Journal of Research MATERIALS SCIENCE, TEXTILES-
CiteScore
1.30
自引率
0.00%
发文量
34
期刊介绍: AATCC Journal of Research. This textile research journal has a broad scope: from advanced materials, fibers, and textile and polymer chemistry, to color science, apparel design, and sustainability. Now indexed by Science Citation Index Extended (SCIE) and discoverable in the Clarivate Analytics Web of Science Core Collection! The Journal’s impact factor is available in Journal Citation Reports.
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