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Tribo-performance Of Polyester Hybrid Composites: Damage Assessment And Parameter Optimization Using Taguchi Design

机译:聚酯杂化复合材料的摩擦性能:使用Taguchi设计的损伤评估和参数优化

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This paper investigates the solid particle erosion wear performance of a multi component hybrid composite consisting of polyester, glass fibers and alumina particles. A mathematical model for damage assessment in erosion is developed and validated by a well designed set of experiments. For this, the design of experiments approach using Taguchi's orthogonal arrays is used. The study reveals that glass-polyester composite without any filler suffers greater erosion loss than the hybrid composite with alumina filling. Significant control factors and their interactions that influence the wear rate are identified. Finally, optimal factor settings are determined using genetic algorithm.
机译:本文研究了由聚酯,玻璃纤维和氧化铝颗粒组成的多组分杂化复合材料的固体颗粒腐蚀磨损性能。通过精心设计的一组实验,开发并验证了侵蚀评估的数学模型。为此,使用了田口正交阵列的实验方法设计。研究表明,没有任何填料的玻璃-聚酯复合材料比具有氧化铝填充的混合复合材料遭受更大的侵蚀损失。确定了影响磨损率的重要控制因素及其相互作用。最后,使用遗传算法确定最佳因子设置。

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