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Multi Objective Optimization of Machining Parameters for AA7075 Metal Matrix Composite Using Grey - Fuzzy Technique

机译:使用灰色模糊技术对AA7075金属矩阵复合材料加工参数的多目标优化

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摘要

Wire cut discharge Machining is an advanced machining method controlled by a variety of interrelated complex parameters like discharge current, pulse on time, pulse off time and servo speed rate. Any slight variations in one will have an effect on the machining quality measures like surface roughness and material removal rate. In the present work Aluminium 7075 is used as matrix and activated charcoal with different percentage as reinforcement to fabricate metal matrix composites. The specimens are tested for Density, Hardness, Impact Strength and Ultimate tensile Strength. Best chosen samples are used to perform machining process in wire cut electrical discharge machine. 27 trials of experiments based on Response surface methodology are done and the observations are made. The quality of the machined samples is evaluated by the measurement of material removal rate and surface roughness. Results are utilized to develop the grey-fuzzy model. From this technique, the optimum combinations of process parameters are obtained and corresponding values of maximum material removal rate and minimum surface roughness are found out. From ANOVA analysis it is found that servo speed is the significant factor in determining the machining quality. Confirmatory experiments are performed to determine the effectiveness of the approach.
机译:电线切割放电加工是一种先进的加工方法,由各种相互关联的复杂参数控制,如放电电流,脉冲按时,脉冲关闭时间和伺服速度。任何一个轻微的变化都会对表面粗糙度和材料去除率的加工质量测量产生影响。在本工作中,铝7075用作基质和活性炭,其具有不同百分比的百分比,以制造金属基质复合材料。测试标本的密度,硬度,冲击强度和极限拉伸强度。最佳选择的样品用于在线切割放电机中进行加工过程。 27完成了基于响应面方法的实验试验,并进行了观察结果。通过测量材料去除速率和表面粗糙度来评估加工样品的质量。结果用于开发灰色模糊模型。从该技术来看,获得了工艺参数的最佳组合,并发现了最大材料去除率和最小表面粗糙度的相应值。从ANOVA分析中发现,伺服速度是确定加工质量的重要因素。进行确认实验以确定方法的有效性。

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