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Multi Response Optimization using Taguchi-Grey-Fuzzy Method in Drilling of Kevlar Fiber Reinforced Polymer (KFRP) Stacked

机译:堆孔纤维增强聚合物钻孔钻孔钻灰模糊法的多响应优化

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A research was conducted for the optimization in the drilling process of KFRP stacked, with multiple performance characteristics based on the orthogonal array with Taguchi-grey-fuzzy method. The experimental study was conducted under varying the drilling process parameters (feeding speed (mm/min) and cutting speed (m/min)) and tool geometries (point geometry and point angle (degree)). The optimized multiple performances characteristics were thrust force, torque and surface roughness. The quality characteristics of thrust force, torque and surface roughness were smaller-is-better. The experimental design used L_(18) orthogonal array with two replications. Experimental results have shown that machining performance in the drilling process can be improved effectively through this method.
机译:kfrp钻井过程中的优化进行了研究,具有基于正交阵列的多种性能特性,具有Taguchi-灰模糊方法。在改变钻孔工艺参数(饲料速度(mm / min)和切割速度(m / min))和工具几何(点几何和点角(度))下进行实验研究。优化的多个性能特性是推力,扭矩和表面粗糙度。推力,扭矩和表面粗糙度的质量特征较小 - 更好。实验设计使用L_(18)正交阵列两种复制。实验结果表明,通过该方法可以有效地提高钻井过程中的加工性能。

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