<p>Thermal deformation and dynamic performance are crucial for precision and stability in numerical control machining. This study thoroughly considers the thermal effects of the system, calculates the thermal deformations of key components based on the thermal network model, and integrates thermal deformations into the derivation of elastic restoring forces of angular contact ball bearings, screw shafts, nuts, and carriages. A dynamic model of the cross-axis ball screw feed system (BSFS) is constructed using the lumped mass method, with its accuracy validated through experiments. The research compares the dynamic characteristics of the system with and without thermal deformation and summarizes how system responses vary with changes in speed, excitation force amplitude, and platform position under thermal effects. The findings are significant for enhancing the understanding and optimization of the dynamic performance of the cross-axis BSFS.</p>

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Dynamic modeling and nonlinear characteristic analysis of the cross-axis ball screw feed system considering thermal deformation

  • Xiaoxuan Gong,
  • Jinsong Zhao,
  • Chunyu Zhao,
  • Changyou Li,
  • Jin Hao,
  • Mengtao Xu

摘要

Thermal deformation and dynamic performance are crucial for precision and stability in numerical control machining. This study thoroughly considers the thermal effects of the system, calculates the thermal deformations of key components based on the thermal network model, and integrates thermal deformations into the derivation of elastic restoring forces of angular contact ball bearings, screw shafts, nuts, and carriages. A dynamic model of the cross-axis ball screw feed system (BSFS) is constructed using the lumped mass method, with its accuracy validated through experiments. The research compares the dynamic characteristics of the system with and without thermal deformation and summarizes how system responses vary with changes in speed, excitation force amplitude, and platform position under thermal effects. The findings are significant for enhancing the understanding and optimization of the dynamic performance of the cross-axis BSFS.