A Regularized Regression Thermal Error Modeling Method for CNC Machine Tools under Different Ambient Temperatures and Spindle Speeds

Establishing a mathematical model to predict and compensate for the thermal error of CNC machine tools is a commonly used approach. Most existing methods, especially those based on deep learning algorithms, have complicated models that need huge amounts of training data and lack interpretability. Th...

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Detalles Bibliográficos
Autores principales: Wei, Xinyuan, Ye, Honghan, Zhou, Jinghuan, Pan, Shujing, Qian, Muyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224392/
https://www.ncbi.nlm.nih.gov/pubmed/37430830
http://dx.doi.org/10.3390/s23104916

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224392/
https://www.ncbi.nlm.nih.gov/pubmed/37430830
http://dx.doi.org/10.3390/s23104916

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