The capability of ABAQUS/CAE to predict the tensile properties of sisal fiber reinforced polyethylene terephthalate composites

Adane Dagnaw Gudayu, L. Steuernagel, D. Meiners
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引用次数: 1

Abstract

Plastics reinforced by natural fibers attract growing attention, particularly in the automotive industry. The properties and performance of these composites are usually determined before application. However, many mechanical tests of composite materials are destructive, expensive, time-consuming, and can cause operator fatigue. The objective of this research is to model the tensile properties of sisal fiber reinforced polyethylene terephthalate (PET) composites and compare the model outcomes with the results of experimental tests. For the experiment, PET was reinforced with 25% wt. of sisal fiber and composite samples were produced by compounding and injection molding processes. Modeling and simulation have also been carried out with ABAQUS/CAE software. The outputs on the tensile properties of the experiment and the model were statistically compared to see the accuracy of the model against the experimental results. The two-sample t-test indicates that, at 95% confidence interval, the mean differences for the stress, strain, and modulus for the experimental tests and the model results are not significantly different from zero. The research shows that the experiment can be effectively modeled with ABAQUS-based modeling and simulation techniques by linking with appropriate mathematical predictive models.
ABAQUS/CAE预测剑麻纤维增强聚对苯二甲酸乙二醇酯复合材料拉伸性能的能力
由天然纤维增强的塑料引起越来越多的关注,特别是在汽车工业中。这些复合材料的性质和性能通常在应用前确定。然而,许多复合材料的机械测试是破坏性的、昂贵的、耗时的,并且可能导致操作人员疲劳。本研究的目的是模拟剑麻纤维增强聚对苯二甲酸乙二醇酯(PET)复合材料的拉伸性能,并将模型结果与实验测试结果进行比较。实验采用25% wt的剑麻纤维增强PET,通过复合和注塑工艺制备复合材料样品。利用ABAQUS/CAE软件进行了建模和仿真。将实验和模型的拉伸性能输出进行统计比较,以查看模型与实验结果的准确性。双样本t检验表明,在95%置信区间内,实验测试和模型结果的应力、应变和模量的平均差值与零之间没有显著差异。研究表明,通过与适当的数学预测模型相结合,基于abaqus的建模与仿真技术可以有效地对实验进行建模。
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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