Digital twin-driven virtual commissioning of machine tool

Abstract

The commissioning of Computerized Numerical Control Machine Tools (CNCMTs) is particularly important and the commissioning quality directly affects its product processing. However, traditional commissioning methods are not suitable for complex and changeable machining conditions during operation, and the derived commissioning results have limited effectiveness. Therefore, this paper proposes a digital twin-driven virtual commissioning method to simulate the machining processes in a virtual environment and perform virtual commissioning to obtain better commissioning results. Firstly, a digital twin model is constructed using a multi-domain unified modeling language combined with a virtual-real mapping strategy to describe the response characteristics of CNCMTs. Secondly, a complex machining scene is simulated based on the twin model, and a virtual commissioning strategy and platform are constructed in this environment. Finally, the effectiveness of the proposed method is verified by taking the spindle system of CNCMTs as an example. The experimental results show a 13% short in response time and a 54% reduction in total systematic error along with a decrease in commissioning time.