MULTIPLE REGRESSION MODEL OF CUTTING FORCES IN FACE MILLING OF NiTi ALLOY

Abstract

The present article is devoted to the description of the methodology for statistical processing of experimental data on the
measurement of cutting forces during face milling of flat surfaces of Ni56.5Ti43.5 alloy under variable cutting conditions (cutting
speed, feed, depth of cut). The study involved the development of power, exponential, and linear multiple regression models for
cutting forces, followed by a comparative analysis of the quality of these models for a specific set of experimental data. The
present study determines the degree of influence of cutting modes on the value of the equivalent cutting force. The findings of
this study may be useful for further investigation of the cutting process and development of effective technologies for machining
NiTi alloys.