Multi response optimization of end milling process parameters on Al6061 T6 an integrated moga and topsis approach

Abstract

In the days of recent a milling process has become entirely automated in order to maintain an economical production. End mill process is mainly varied from all other milling operations due to its tooling type used for removal of material from work piece. Todayand#8223;s machine tool industry has become advanced and automated in order to meet the demand of higher productivity, but the demand for higher productivity leads to reduction in quality performance. Even though the manufacturing industries have improvised to automation, yet the selection of machining parameters look newlineproblematic for the engineers and researchers who adapt using different kinds of material that is used for different applications. Therefore, proper selection of machining parameters has a great concern over machining performance. Selection of tool geometry and cutting conditions depends on the types of materials used for end milling process, so the selection of inefficient machining parameters increases the spindle vibration, work piece fixture vibration, temperature rise, and deteriorates productivity and surface finish. Increased vibration amplitude leads to poor machined surface finish, dimensional inaccuracies and pointedly affects the radial rake face of the milling cutter. At room temperature the end mill cutter which possesses hardness could not maintain the same hardness during milling process at high temperature, so the temperature rise at the rake face of the end mill cutter has newlinea strong impact on the life of the tool. Temperature rise between the cutting zones during end milling affects the formation of chips. It results in plastic deformation of tool material, therefore causing brittle fracture of cutting tool inclusion on the the machined surface texture. newline newline