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Updated: Sep 13, 2025

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Research on multi-objective optimization design for high-precision turning-milling machine tool bed based on taguchi

Hongyi Wu1, Haozhen Li1, Xuanyi Wang1,2

  • 1Key Laboratory of Intelligent Manufacturing for Aerodynamic Equipment of Zhejiang Province, Quzhou University, Quzhou, 324000, China.

Scientific Reports
|July 27, 2025
PubMed
Summary

This study optimized turning-milling machine tool beds using Finite Element Analysis (FEA) and the Taguchi Method. The new design enhances machining precision by reducing deformation and mass while improving natural frequency.

Keywords:
High-precision turning-milling machine toolLightweight designMachine tool bedMulti-objective joint optimizationTaguchi method

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Area of Science:

  • Mechanical Engineering
  • Manufacturing Technology

Background:

  • Machine tool beds are critical for precision and efficiency in turning-milling operations.
  • Optimizing these structures requires balancing static and dynamic performance.

Purpose of the Study:

  • To develop a multi-objective collaborative optimization design methodology for machine tool beds.
  • To enhance the static and dynamic characteristics of turning-milling machine tool beds.

Main Methods:

  • Integration of Finite Element Analysis (FEA) for structural characteristic evaluation.
  • Application of the Taguchi Method for multi-objective collaborative optimization.
  • Comparative analysis of traditional versus proposed optimization methods.

Main Results:

  • Achieved a 5.14% reduction in maximum deformation.
  • Reduced the structure's mass by 1.75%.
  • Improved the fourth-order natural frequency by 1.04%.

Conclusions:

  • The proposed FEA and Taguchi Method integration is effective for optimizing machine tool beds.
  • The methodology simultaneously enhances dynamic-static performance and achieves lightweight design.
  • Provides valuable insights for precision improvement and green manufacturing in turning-milling machine tools.