Application of Taguchi based Grey Method for Multi Aspects Optimization on CNC Turning of AlSi 7 Mg

Abstract In this present exploration a multi objective optimization method is proposed for CNC turning of AlSi7Mg for determining possible machining parameters to obtain the better machining performance. Taguchi’s design of experiments approach is employed for planning the experiments. An L27 orthogonal array has been opted for conducting experiments. Spindle speed, feed rate and depth of cut are considered as the input process variables. Material removal rate and surface roughness are the desired performance measures in this investigation. Taguchi’s S/N ratio analysis is used for analyzing the influence of independent process variables. The Grey Relational Analysis is used for obtaining the better multi performance machining characteristics. The experimental outcomes reveal that the proposed method of multi objective optimization considerably enhances the multi performance machining characteristics.