A grey fuzzy approach based machining process parameters ptimization for Al 6063 alloy
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An experimental study was conducted to optimize both the surface roughness and material removal rate in the end millingprocess of Al-6063 alloy. Grey relational coefficients determined by using grey relational normalized formula. GRG valuesare analyzed and optimum level of process parameters that lead to highest GRG value indicates the overall performance ofthe output characteristics. ANOVA analysis is performed to determine the influencing parameter in end milling process. Theoptimum process parameters are determined using fuzzy logic and grey relational grade and it is found that grey relationalgrade is improved and provides minimum surface roughness and maximum material removal rate.
Abstract
An experimental study was conducted to optimize both the surface roughness and material removal rate in the end millingprocess of Al-6063 alloy. Grey relational coefficients determined by using grey relational normalized formula. GRG valuesare analyzed and optimum level of process parameters that lead to highest GRG value indicates the overall performance ofthe output characteristics. ANOVA analysis is performed to determine the influencing parameter in end milling process. Theoptimum process parameters are determined using fuzzy logic and grey relational grade and it is found that grey relationalgrade is improved and provides minimum surface roughness and maximum material removal rate.