Experimental Analysis and Optimization of Cutting Parameters for End Milling Aluminium Alloy

Abstract

There have been many works for optimization of cutting parameters for end milling by Genetic Algorithms (GAs) and other Artificial Intelligent (AI) techniques based on theoritical relationships. However these works do not reflect the actual shop floor situation where experimental result is more important than theoritical result. In this work we investigated cutting parameters for end milling Aluminium Alloy by experiment, compared with theoritical results from optimization point of view.