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Research Article

Thermal Conductivity of Boron Nitride/ Banana Fiber Reinforced Epoxy Hybrid Composites

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Pages 8652-8668 | Published online: 30 Sep 2021
 

ABSTRACT

In this work, recent developments in area of thermally conductive polymer matrix composite are discussed. Thermally conductive Boron Nitride (BN)/ Banana fiber (BF)/ reinforced environment friendly epoxy polymer matrix composite is prepared. Scanning electron microscope (SEM) analysis of BN is carried out to ensure desired particle size. The effect of wt. % of BN/ BF on thermal conductivity is investigated. Box Behnken Model (BBD) from Response surface methodology (RSM), an approach of design of experiments (DOE), is used for preparation of sample to choose possible wt. % of BN/ BF and ANOVA is carried out using MINITAB software to get optimized levels of parameters through regression model. Validation of optimized results with experimental one is discussed. Thermal conductivity of 1.06741 W/m-K is obtained for optimum combination of 5 wt. % of BN with particle size of 5 μm and 1.2 wt. % of BF.

摘要

本文讨论了导热聚合物基复合材料领域的最新进展. 制备了导热氮化硼 (BN)/香蕉纤维 (BF)/增强环保型环氧树脂基复合材料. 对BN进行扫描电子显微镜 (SEM) 分析, 以确保所需的粒径. 研究了BN/BF质量分数对导热系数的影响. 响应面法 (RSM) 中的Box-Behnken模型 (BBD) 是一种实验设计方法 (DOE), 用于制备样品, 以选择BN/BF的可能重量百分比, 并使用MINITAB软件进行方差分析, 通过回归模型获得优化的参数水平. 讨论了优化结果与实验结果的验证。对于粒径为5μm的5% (重量百分比) BN和1.2% (重量百分比) BF的最佳组合, 导热系数为1.06741W/m-K.

Acknowledgments

Authors declare, no financial support provided by any organization for this work.

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