Digital twinning of multi-axis machine tool for micro process planning

Abstract

A digital twin that realizes the machining motion function, including the error of the multi-axis machine tool in cyberspace, was proposed in the previous paper. Using actual machining case data and virtual machining case data using digital twins, effective process planning of individual multi-axis machine tools becomes possible. In this paper, a realization of the twinning function of the digital twin by autonomous feedback of actual machining shape measurement is proposed. The digital twin has the same machining capabilities as a real machine tool with kinematic errors to generate the required machining case data using the proposed method.