Abstract—In many production contexts it is still necessary to rely on engineering judgment to optimize a multi-response problem, therefore uncertainty seems to prevail during the decision making process. Therefore, development of efficient multi response phenomena is required. The present project deals with the optimization of tool life and machining cost while performing machining on CNC Milling machine. The experiments are conducted through Design of Experiments (DOE). The experiment has been carried out by using solid carbide flat end mill as cutting tool and stainless steel (S.S-304) as work piece. The approach is carried out using 3-level full factorial method and is performed using Minitab V15 package. The input parameters are taken as cutting speed, feed and depth of cut while the responses are tool life and machining cost. The experimental results display that the cutting speed and depth of cut are the significant parameters that influence the tool life.

Index Terms—Design of Experiments (DOE), Full factorial method, Tool life, Prediction, Regression analysis

Cite: D S Sai Ravi Kiran and S Phani Kumar, "Multi Objective Optimization of Tool Life and Total Cost Using 3-Level Full Factorial Method in CNC End Milling Process," International Journal of Mechanical Engineering and Robotics Research, Vol.2 No.3, pp. 255-270, July 2013.