An approach to the influence of the machining process on power consumption and surface quality during the milling of 304L austenitic stainless steel

Increasing the quality of a machined product and minimizing energy consumption is primary objective for all industries, given their significant impact on manufacturing costs environment. The choice machining process optimal cutting parameters to meet this requirement experimental study, which deals with effects surface condition during milling AISI 304L austenitic steel. This article presents multi-objective optimization method based response methodology Grey's weighted relational analysis. Based approach, down indicate that speed most influential parameter (62.71%), while feed rate factor in roughness (47.20%). For up milling, important influencing (29.07%) also (64.09%).It has been found power can be reduced by 39% 16% compared maximum value. On other hand, improved 58.5% 60% milling.