Improving the Efficiency of Metalworking by the Cutting Tool Rake Surface Texturing and Using the Wear Predictive Evaluation Method on the Case of Turning an Iron–Nickel Alloy

Abstract

The article proposes and substantiates the function of predictive evaluation using the criterion of the relative efficiency of using a cutting tool with a microtextured rake surface based on tangential force and cutting temperature. Comprehensive durability tests carried out under various processing modes with the measurement of heat power parameters made it possible to create an experimental base for mathematical modeling. An empirical model of cutting parameters based on modified multiplicative functions with non-constant indicators in the form of linear dependencies on processing factors was used based on planning an experiment for processing a heat-resistant alloy for predictive wear assessment in order to determine rational cutting modes. Predicting the rational use of a cutting tool with a microtextured work surface made it possible to obtain a 1.3-fold increase in durability.