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Taguchi method for optimization of fabrication parameters with mechanical properties in fiber and particulate reinforced composites

机译:Taguchi方法优化具有纤维和颗粒增强复合材料机械性能的制造参数

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摘要

In this paper, the grey-based Taguchi method was used to optimize the fabrication parameters with mechanical properties (multiple performance characteristics) in roselle fiber with (5 % wt) Coconut shell powder (CSP) reinforced vinyl ester (RFRVE) composites. Composite plates were prepared based on the Taguchi's L_(27) orthogonal array using hand lay-up technique at room temperature. Fabrication parameters namely fiber length, fiber content, and fiber diameters were optimized based on the grey relational grade (GRG) as performance index obtained from the grey relational analysis to get the maximum level of multiple performance characteristics such as the tensile strength, the flexural strength, and the impact strength. The results show that the fiber content is the most significant fabrication parameter which greatly affects the mechanical properties of RFRVE composite compared to the fiber length and the fiber diameter. Tt was proved that the multiple performance characteristics of the plant based natural fiber and particle reinforced polymer composites can be effectively improved by this method.
机译:在本文中,基于灰色的Taguchi方法用于优化含(5%wt)椰子壳粉(CSP)增强乙烯基酯(RFRVE)复合材料的玫瑰茄纤维的机械性能(多种性能特征)的制造参数。基于田口氏L_(27)正交阵列,在室温下使用手糊技术制备复合板。根据灰色关联度(GRG)作为优化指标,优化了制造参数,即纤维长度,纤维含量和纤维直径,从而获得了多种性能特征的最大水平,例如拉伸强度,弯曲强度,以及冲击强度。结果表明,与纤维长度和纤维直径相比,纤维含量是最重要的制造参数,对RFRVE复合材料的机械性能影响很大。 Tt被证明,这种方法可以有效地改善植物基天然纤维和颗粒增强聚合物复合材料的多种性能。

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