Digital twin-driven lifecycle management for motorized spindle

A digital twin-driven lifecycle management method 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 prediction models of lifespan are built according to the digital...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2024-11, Vol.135 (1-2), p.443-455
Main Authors: Fan, Kaiguo, Liu, Jiahui
Format: Article
Language:English
Subjects:
Advanced manufacturing technologies
Aging
Aircraft
Bearings
Boundary conditions
CAE) and Design
Computer-Aided Engineering (CAD
Cooling
Cooling systems
Digital twins
Engineering
Heat
Industrial and Production Engineering
Life span
Machine learning
Manufacturing
Mechanical Engineering
Media Management
Motorized spindles
Original Article
Prediction models
Preventive maintenance
Sensors
Simulation
Temperature
Thermal cycling
Useful life
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Description
Summary:A digital twin-driven lifecycle management method 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 prediction models of lifespan are built according to the digital twin (DT) data of thermal characteristics of the motorized spindle. The DT for thermal characteristics is realized through correcting the thermal boundary conditions according to the correction models which are established according to the measured and simulated temperatures at thermal key points. The temperature domain and threshold models of the cooling channel are constructed using the exponential fitting method to monitor the working status of the cooling system. The experimental results show that the DT-driven lifecycle management system can effectively monitor the status and remaining useful life of the motorized spindle, which provides a basis for the lifecycle management of the motorized spindle.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-024-14538-z