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首页> 外文期刊>Materials Sciences and Applications >The Application of a Representative Volume Element (RVE) Model for the Prediction of Rice Husk Particulate-Filled Polymer Composite Properties
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The Application of a Representative Volume Element (RVE) Model for the Prediction of Rice Husk Particulate-Filled Polymer Composite Properties

机译:代表性体积元(RVE)模型在预测稻壳充填聚合物复合材料性能中的应用

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摘要

In this study, a numerical representative volume element (RVE) model was used to predict the mechanical properties of a Rice Husk Particulate (RHP)-Epoxy composite for use as an alternative material in non-critical applications. Seven different analytical models Counto, Ishai-Cohen, Halpin-Tsai, Nielsen, Nicolais, Modified Nicolais and Pukanszky were used as comparison tools for the numerical model. RHP-Epoxy biocomposite samples were fabricated with 0%, 10% and 30% RHP volume percentage and the experimental results benchmarked against the numerical and analytical projections. The mechanical properties estimated for 0%, 10% and 30% RHP-Epoxy composites using the numerical and analytical models were in general agreement. Using the analytical models, it was calculated that an increase in volume percentage of RHP to 30% led to continual reduction in elastic Young’s modulus and ultimate tensile strength of the composite. The numerical RVE models also predicted a similar trend between filler volume percentage and material properties. These projections were consistent with the experimental results whereby a 10% increase in RHP content led to 15% and 20% decrease in yield stress and tensile strength, but had no effect on the composite’s elastic property. Further increase in RHP volume percentage to 30% resulted in 8%, 21% and 28% reduction in Young’s modulus, yield stress and tensile strength, respectively. Overall, the results of this study suggest that RHP can be used to reduce the composite raw material costs by replacing the more expensive polymer content with agricultural waste products with limited compromise to the composite’s mechanical properties.
机译:在这项研究中,数值代表体积元素(RVE)模型用于预测稻壳颗粒(RHP)-环氧复合材料的机械性能,以用作非关键应用中的替代材料。七个不同的分析模型Counto,Ishai-Cohen,Halpin-Tsai,Nielsen,Nicolais,Modified Nicolais和Pukanszky被用作数值模型的比较工具。用0%,10%和30%的RHP体积百分比制备RHP-环氧树脂生物复合材料样品,并根据数值和分析预测作为基准的实验结果。使用数值模型和分析模型对0%,10%和30%的RHP-环氧复合材料的机械性能进行了总体评估。使用分析模型计算得出,RHP的体积百分比增加到30%会导致复合材料的弹性杨氏模量和极限拉伸强度不断降低。 RVE数值模型还预测了填料体积百分比和材料性能之间的相似趋势。这些预测与实验结果一致,即RHP含量增加10%导致屈服应力和拉伸强度分别降低15%和20%,但对复合材料的弹性没有影响。 RHP体积百分比进一步增加到30%,则杨氏模量,屈服应力和拉伸强度分别降低了8%,21%和28%。总体而言,这项研究的结果表明,RHP可通过用农业废品代替较贵的聚合物含量而对复合材料的机械性能造成有限的损害,从而降低复合材料的原料成本。

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