Spindle rotation accuracy is a critical factor in ensuring the precision and reliability of CNC machining systems. Even minor deviations in spindle rotation can lead to significant dimensional inaccuracies, surface defects, and increased tool wear, especially in high-speed machining. This study explores various techniques to optimize spindle performance and enhance rotational accuracy. A multidisciplinary approach was employed, combining advanced materials, dynamic analysis, precision measurement methods, and innovative design strategies. The integration of hydrostatic bearings, dynamic balancing, and advanced spindle housing designs significantly improved stability and precision. Additionally, the use of adaptive deep learning models for error prediction and correction, along with sophisticated measurement techniques like interference fringe analysis and thermal imaging, provided valuable insights into potential spindle misalignments and operational inefficiencies. The results demonstrate that optimizing feed rate, cutting speed, and spindle preload can reduce vibrations and improve machining outcomes.
Juraev et al. (Fri,) studied this question.