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<p>The reliability of the planet carrier, as a key component of the tracked vehicle wheel-side reducer, directly affects the vehicle’s overall performance and service life. On the MSC.ADAMS/ATV simulation platform, the alternating load data of tracked vehicles under different working conditions were obtained, the finite element results of the planet carrier under static and alternating loads were compared and analyzed, and the reliability assessment model was constructed. However, the actual failure form of the planet carrier is the severe deformation of the output end side plate, rather than the fatigue damage in the high stress region predicted by traditional fatigue. Therefore, a multiobjective optimization model with the objectives of lightweighting, stress, and deformation reduction was constructed; the secondary design variable <i>x</i><sub>1</sub> was eliminated by sensitivity analysis, and the response surface analysis and non-dominated sorting genetic algorithm-II (NSGA-II) were integrated for parameter optimization. After optimization, the maximum von Mises stress of the planet carrier is reduced by 6.7%; the maximum deformation is reduced by 10.1%. The optimization effect is remarkable.</p>

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Multi-Objective Optimization of Planet Carrier for Wheel-Side Reducer

  • 期刊论文

  • 发表日期：

    2025年9月1日

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  • X. J. Du,
  • Q. Z. Zhang,
  • Y. H. Zhang,
  • S. R. Zhang,
  • J. C. Xu

摘要

The reliability of the planet carrier, as a key component of the tracked vehicle wheel-side reducer, directly affects the vehicle’s overall performance and service life. On the MSC.ADAMS/ATV simulation platform, the alternating load data of tracked vehicles under different working conditions were obtained, the finite element results of the planet carrier under static and alternating loads were compared and analyzed, and the reliability assessment model was constructed. However, the actual failure form of the planet carrier is the severe deformation of the output end side plate, rather than the fatigue damage in the high stress region predicted by traditional fatigue. Therefore, a multiobjective optimization model with the objectives of lightweighting, stress, and deformation reduction was constructed; the secondary design variable x1 was eliminated by sensitivity analysis, and the response surface analysis and non-dominated sorting genetic algorithm-II (NSGA-II) were integrated for parameter optimization. After optimization, the maximum von Mises stress of the planet carrier is reduced by 6.7%; the maximum deformation is reduced by 10.1%. The optimization effect is remarkable.