IMOGWO-BASED STRUCTURAL OPTIMIZATION OF A DUAL-DRIVE FEED SYSTEM UNDER MULTI-FORCE COUPLING

Authors

  • FangYong Xu (Corresponding Author) School of Mechanical and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.
  • JunShuo Cui School of Mechanical and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.
  • ZhuoYue Li School of Mechanical and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.
  • RunJia Yu School of Mechanical and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.
  • ZhenKai Luan School of Mechanical and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China.

Keywords:

IMOGWO algorithm, Response surface model, Multi-objective optimization, Dual-drive feed system, Multi-force coupling

Abstract

This study presents an RSM- and IMOGWO-based structural optimization method for a dual-drive feed system worktable under multi-force coupling conditions. A finite element model is established, and three structural depths are selected as design variables to minimize mass and maximum coupling stress while maximizing the first-order natural frequency. A response surface surrogate model is constructed from orthogonal experiments, and the improved MOGWO is used for multi-objective optimization. The optimized design reduces mass by 6.58% and maximum coupling stress by 1.60%, while increasing the first-order natural frequency by 0.065%. Finite element validation verifies the reliability of the proposed method.

References

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Published

2026-06-29

Issue

Vol. 4 No. 4 (2026)

Section

Research Article

DOI:

https://doi.org/10.61784/wjer3110

How to Cite

FangYong Xu, JunShuo Cui, ZhuoYue Li, RunJia Yu, ZhenKai Luan. Imogwo-Based Structural Optimization Of A Dual-Drive Feed System Under Multi-Force Coupling. World Journal of Engineering Research. 2026, 4(4): 72-78. DOI: https://doi.org/10.61784/wjer3110.