Author : Vijay Mohan Shetty, Mahesh Pallapothu and Vamshi Reddy Pothuganti

In today‘s manufacturing environment, many industries have attempted to introduce flexible manufacturing systems (FMS) as their strategy to adapt to the ever changing competitive market requirements. To ensure quality of machined products to reduce the machining costs and to increase the machining effectiveness, it is very important to select appropriate machining parameters when machine tools are selected for machining. In this work, after conducting an exhaustive literature review, several optimization techniques used in various manufacturing processes have been identified. The selection of optimal cutting parameters, like depth of cut, feed and speed is a very important issue for every machining process. Experiments have been designed using Taguchi technique and turning of Aluminium 6065 has been performed on Cnc Lathe shown in figure 1.5(c) Analysis using S/N and ANOVA were performed to find the optimum level and percentage of contribution of each parameter. By using S/N analysis the optimum machining parameters from the experimentation is obtained using MINITAB 17 software. The main objective of this study is dedicated to experimental vibration analysis of the spindle bearing assembly with self-exited vibration and the effect of vibrations on surface roughness is evaluated using ANOVA.

Keywords: Taguchi method, ANOVA, Turning process, vibrations, surface roughness

Article published in International Journal of Current Engineering and Technology, Vol.5, No.2 (April-2015)