Digital Twin-Driven Lifecycle Management for Motorized Spindle

Abstract A digital twin-driven lifecycle management system for motorized spindle is proposed to monitor the lifespan of motorized spindle. The lifecycle management system is designed and developed based on the combined programming of MATLAB, ANSYS and LabVIEW. The lifespan prediction models are built according to the digital twin data of thermal characteristics of motorized spindle. The digital twin for thermal characteristics is realized through correcting the thermal boundary conditions according to the thermal boundary correction models which are established according to the measured and simulated temperatures at thermal key points. The temperature domain model of cooling channel is constructed to monitor the working status of the cooling system. The experimental results show that the digital twin-driven lifecycle management system can effectively monitor the status and remaining lifespan of the motorized spindle, which provides a basis for lifecycle management of motorized spindle.