Applying the MIMO BP Neural Network and Cloud-Based Monitoring of Thermal Behavior for High-Speed Motorized Spindle Units

Applying the MIMO BP Neural Network and Cloud-Based Monitoring of Thermal Behavior for High-Speed Motorized Spindle Units

Understanding the temperature–working condition relationship is crucial for optimizing machining processes to ensure dimensional accuracy, surface finish quality, and overall spindle longevity. Monitoring and controlling spindle temperature through appropriate cooling systems and operational paramet...

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Bibliographic Details
Main Authors: Milos Knezev, Robert Cep, Luka Mejic, Branislav Popovic, Aco Antic, Branko Strbac, Aleksandar Zivkovic
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Machines
Subjects:
machine tools
thermal behavior
thermal errors
artificial neural networks cloud computing
Online Access:https://www.mdpi.com/2075-1702/12/3/194

Internet

https://www.mdpi.com/2075-1702/12/3/194

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