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<p>In this study, an optimization design of crankshaft bearing of rotate vector (RV) reducer was proposed based on genetic algorithm. First, based on fatigue life theory, the service life of crankshaft bearing of reducer was modeled. Considering the bearing structural parameters as design variables, optimizated design was established with the objective of attaining improved fatigue life, torsional stiffness, and bearing gap volume. Then, the effects of structural parameters on reducer performance were systematically analyzed. Next, based on genetic algorithm, the optimizations for single-, double-, three-objective models were performed with the corresponding constraints. Finally, the representative result was selected from Pareto optimal solutions of three-objective optimization, the parameters of bearing structure and performance before and after optinization were compared and analyzed. The results show that the effective improvement in bearing performance through the proposed optimization method, which presents the academic significance for improving the comprehensive performance of RV reducer.</p>

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Optimized design for crankshaft bearing of RV reducer based on genetic algorithm

  • 期刊论文

  • 发表日期：

    2025年3月31日

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  • Song Gao,
  • Yueming Zhang,
  • Shuting Ji,
  • Xuan Wang,
  • Yiwan Li

摘要

In this study, an optimization design of crankshaft bearing of rotate vector (RV) reducer was proposed based on genetic algorithm. First, based on fatigue life theory, the service life of crankshaft bearing of reducer was modeled. Considering the bearing structural parameters as design variables, optimizated design was established with the objective of attaining improved fatigue life, torsional stiffness, and bearing gap volume. Then, the effects of structural parameters on reducer performance were systematically analyzed. Next, based on genetic algorithm, the optimizations for single-, double-, three-objective models were performed with the corresponding constraints. Finally, the representative result was selected from Pareto optimal solutions of three-objective optimization, the parameters of bearing structure and performance before and after optinization were compared and analyzed. The results show that the effective improvement in bearing performance through the proposed optimization method, which presents the academic significance for improving the comprehensive performance of RV reducer.