Intelligent tools selection for roughing and finishing in machining of Inconel 718

Abstract

In this paper, a comparative study is made for setting of machining parameters and tool selection for a cutting process. Using a data driven model made with symbolic regression alpha beta, three task are made: (i) variable selection and (ii) model simplification and (iii) model validation. By means of residual analysis, validated mathematical model for roughing and finishing is used for analysis to establish a correct selection of tools for machining of Inconel 718 and set its parameters.