Taguchi based optimization of process parameters in orthogonal turn milling of ASTM B139

Abstract

In advanced Manufacturing system, tool condition Monitoring is one of the important activities to control process parameters for better machining. Machining parameters such as cutting speed, feed rate and depth of cut are process parameters cause changes in condition of tool in machining. The main objective of this work is to evaluate the effect of various input cutting parameters on a tool life. Orthogonal turn milling operations are carried out on vertical milling machine on ASTM B139 material and determined surface roughness of the workpiece while machining and amplitude of cutter vibrations. According to design of experiments, 16 experiments are conducted by changing the input process parameters. In this work, a new apparatus Laser Doppler Vibrometer is used to collect the amplitude of cutter vibrations dynamically in the form of signals these are analyzed by using the fast Fourier Transform analyzer and these collected data are analysed by using the Taguchi and Analysis of Variance to determine the significant parameters. The effect of individual cutting parameter on surface roughness and amplitude of cutter vibrations are calculated with the Analysis of Variance.