Modelling of cutting process impact on machine tool thermal behaviour based on experimental data

Abstract

Achieving high workpiece accuracy is a long-term goal of machine tool designers. There are many causes of workpiece inaccuracy, with thermal errors being the most dominant. An indirect compensation (using predictive models) is a promising strategy to reduce thermal errors without increasing machine tool cost. The most significant drawback is that the majority of applied models presume machines operate under load-free conditions without any reference to cutting processes. This article aims to extend the model validity by accounting for cutting process influence and verify the model during experiments involving different tools and cutting parameters. Moreover, several compensation model structures are considered.