Abstract
High productivity with low cost is the main requirement of the industries while producing the components with the desired quality. To achieve this goal, industries are machining at high speed and feed which causes the development of high temperature at the cutting area. This high temperature harmfully affects the surface finish and cutting tool performance. Therefore, the determination of the optimal value of cutting speed along with the effective and economical cooling strategies becomes an essential task. In the present work, this task is accomplished for face milling of EN-31 steel by combining cutting speed with variables associated with minimum quantity lubrication employing Taguchi's proposed L18 array. Taguchi coupled Grey Relational Analysis is executed to concurrently optimize the flank wear and surface roughness. The optimum parameter setting for the concurrent decrease of tool wear and surface finish are discovered as 110 m/min cutting speed, 150 ml/hr lubricant flow rate, 50 mm spraying distance, and 45° nozzle elevation angle Using Regression analysis, 1st and 2nd order equation are formulated to determine the relationship in the input and output variables. The 2nd order quadratic equation is found best fitted which is developed considering different interactions between input process variables.
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