Analysis of Machining Parameters on CNC Milling of Aluminium 2219

Abstract

This paper mainly focuses on the impact of input parameters like feed, spindle speed, axial depth of cut, and radial depth of cut on the output characteristics of CNC milling process of aluminium 2219. Material removal rate, surface roughness, and flatness are taken as the performance measures. The optimum process parameters and corresponding output responses are found out using Taguchi analysis. The multi-objective optimization based on grey relational analysis is used to attain maximum material removal rate simultaneously with minimum flatness and surface roughness. ANN models were developed using back propagation algorithms to predict the performance characteristics.