A digital twin commissioning method for machine tools based on scenario simulation

Abstract

Commissioning machine tools before machining is crucial for improving efficiency and performance. Current virtual commissioning technologies have limitations, such as detachment from operation scenarios, which can reduce commissioning effect. This paper presents a digital twin commissioning method for machine tools based on scenario simulation. The method takes into account the machining conditions to build virtual machining scenarios and carries out virtual machining commissioning based on a twin model. The digital twin model of the machine tool is constructed using the unified multi-domain modelling language to ensure consistent response to machining conditions, control effect, and mapping effect of real and virtual parameter changes. Secondly, the machining scenario simulation strategy is formulated and the decoupling analysis for the machining process is carried out to achieve the parametric representation of the working conditions and the simulation of the machining loads. Finally, the parameter adjustment and optimization are investigated under variable machining conditions and variable parameters. The experimental results demonstrate that the proposed method reduces the commissioning time of the spindle machining system of machine tools, decreases the response time by approximately 12 %, and reduces the steady-state error by about 52 %. These findings confirm the effectiveness of the proposed method and its feasibility for field application.