Affiliation:
1. University of Shanghai for Science and Technology
Abstract
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.
Publisher
Research Square Platform LLC
Reference21 articles.
1. The friction and wear behavior of spherical plain bearings with the copper grid composite liner under swivel and tilt swinging conditions;Qiu M;Appl Mech Mater,2012
2. Archard wear and component geometry;Kauzlarich J;J Eng Tribology,2001
3. Prediction on the wear life of bearings for planetary gears;Zhang J;Adv Des Manuf Technol,2013
4. Dynamic of a flexible rotor-bearing system supported by worn tilting journal bearings experiencing rub-impact;Tofighi-Niaki E;Lubricants,2023
5. A parametric model to identify hydrodynamic bearing wear at a single rotating speed;Alves DS;Tribol Int,2021