A Review of Machine Learning-Based Thermal Error Modeling Methods for CNC Machine Tools

A Review of Machine Learning-Based Thermal Error Modeling Methods for CNC Machine Tools

Heat source-induced thermal error is a primary element influencing the precision of CNC machine tools. A practical and economical approach to mitigating thermal errors is through thermal error compensation. To provide a comprehensive understanding of thermal error modeling and its advancements, this...

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Bibliografiska uppgifter
Huvudupphovsmän: Sen Mu, Chunping Yu, Kunlong Lin, Caijiang Lu, Xi Wang, Tao Wang, Guoqiang Fu
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2025-02-01
Serie:Machines
Ämnen:
thermal error modeling
CNC machine tools
thermal error compensation
machine learning
deep learning
Länkar:https://www.mdpi.com/2075-1702/13/2/153

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https://www.mdpi.com/2075-1702/13/2/153

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