Virtual Fatigue Behaviour Analysis of Coir Fibre-Reinforced PVC Composites

IF 3.4 4区 化学 Q2 POLYMER SCIENCE
Gopalan Venkatachalam, Umapathy Jayanthi, Arumugasamy Suja, Senthil Gnanaaksaya, Sampath Aravindh, Pitchumani Shenbaga Velu, Kulendran Balamurugan, Rajendiran Gopal
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引用次数: 0

Abstract

PVC (polyvinyl chloride) is a tough polymer used in applications, including plumbing and construction materials. As natural fibre-reinforced composites have more advantages over conventional synthetic composites, this paper focuses on the fatigue analysis of PVC composite which is reinforced with coir fibre. The influences of three input parameters, namely, the size of the coir fibre, coir fibre content, and the chemicals that are used in the treatment of coir fibre on the fatigue life of the composite are examined. In the response surface model (RSM), Box-Behnken designs (BBD) are employed for the preparation/analysis/optimization of the samples. ANSYS software is used to perform the fatigue analysis of different samples containing various combinations of the parameters. To determine the effects of various input parameters on the fatigue behaviour of composites, ANOVA is employed to determine their optimal levels. Regression equations are established to determine the fatigue limit. When treated with triethoxy(ethyl)silane, coir with a concentration of 6 wt.% and a particle size of 75 μm exhibits a maximum fatigue limit of 2.819 MPa.
椰壳纤维增强PVC复合材料的虚拟疲劳性能分析
PVC(聚氯乙烯)是一种坚固的聚合物,应用于管道和建筑材料等领域。由于天然纤维增强复合材料比传统的合成复合材料具有更多的优点,本文着重研究了椰壳纤维增强聚氯乙烯复合材料的疲劳分析。考察了椰壳纤维的尺寸、椰壳纤维含量和椰壳纤维处理中使用的化学药剂对复合材料疲劳寿命的影响。在响应面模型(RSM)中,采用Box-Behnken设计(BBD)对样品进行制备/分析/优化。利用ANSYS软件对含有不同参数组合的不同试样进行疲劳分析。为了确定各种输入参数对复合材料疲劳行为的影响,采用方差分析来确定其最佳水平。建立了疲劳极限回归方程。当用三乙氧基(乙基)硅烷处理时,coir浓度为6wt。当粒径为75 μm时,最大疲劳极限为2.819 MPa。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.10
自引率
0.00%
发文量
55
审稿时长
>12 weeks
期刊介绍: The International Journal of Polymer Science is a peer-reviewed, Open Access journal that publishes original research articles as well as review articles on the chemistry and physics of macromolecules.
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