Enhancing Spindle Precision: Thermal Error Modeling with Multi-parameter Optimization and Energy Consumption Data

Thermal error prediction models for key components in precision computer numerical control machine tools often fail to maintain high accuracy under varying working conditions, significantly impairing the effectiveness of error compensation. Furthermore, existing models frequently disregard correlati...

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Veröffentlicht in:	International journal of precision engineering and manufacturing Jg. 26; H. 8; S. 1837 - 1853
Hauptverfasser:	Zhou, Bo, Chen, Guo-hua, Mao, Jie, Li, Bo, Fu, Zhen-xin, Li, Tao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Seoul Korean Society for Precision Engineering 01.08.2025 Springer Nature B.V
Schlagworte:	Accuracy Adaptive algorithms Algorithms Boundary conditions Confidence intervals Density Design Energy consumption Engineering Error compensation Experiments Heat Industrial and Production Engineering Machine tools Materials Science Neural networks Numerical controls Optimization Parameter modification Prediction models Real time Regular Paper Sensors Software Spindles Working conditions MBSCPO Energy consumption data Electric spindle Thermal error modeling method Prediction interval
ISSN:	2234-7593, 2005-4602
Online-Zugang:	Volltext
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