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<p>Aiming at improving the structural performance of the high-precision turning-milling combined machine tool bed, a multi-objective collaborative optimization framework that integrates bionic design principles and the Taguchi method is developed in this study. This framework first extracts the static and dynamic characteristics of the bed structure through finite element simulation. Then, inspired by the honeycomb configuration as a bionic prototype, it innovatively redesigns the internal rib layout. Subsequently, systematic optimization of key dimensional parameters is conducted via Taguchi orthogonal experiments, ultimately establishing a mathematical model with the comprehensive objectives of mass reduction, deformation suppression, and natural frequency enhancement. The results show that the quality of the optimized bed is reduced by 6.7%, the maximum deformation is decreased by 6.15%, and the fourth-order natural frequency is increased by 2.8%. It achieves lightweighting while significantly enhancing the static and dynamic performance of the structure, providing a feasible path for the green design and performance improvement of high-precision machine tools.</p>

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Bionic optimization design of bed for high-precision turn-milling compound machine tool based on the honeycomb structure

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年4月18日

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  • Xu Bing,
  • Chang Huijie,
  • Li Haozhen,
  • Wang Xuanyi,
  • Deng Xiaolei,
  • Wu Hongyi

摘要

Aiming at improving the structural performance of the high-precision turning-milling combined machine tool bed, a multi-objective collaborative optimization framework that integrates bionic design principles and the Taguchi method is developed in this study. This framework first extracts the static and dynamic characteristics of the bed structure through finite element simulation. Then, inspired by the honeycomb configuration as a bionic prototype, it innovatively redesigns the internal rib layout. Subsequently, systematic optimization of key dimensional parameters is conducted via Taguchi orthogonal experiments, ultimately establishing a mathematical model with the comprehensive objectives of mass reduction, deformation suppression, and natural frequency enhancement. The results show that the quality of the optimized bed is reduced by 6.7%, the maximum deformation is decreased by 6.15%, and the fourth-order natural frequency is increased by 2.8%. It achieves lightweighting while significantly enhancing the static and dynamic performance of the structure, providing a feasible path for the green design and performance improvement of high-precision machine tools.