Scholarlink

<p>The radial combination seal, a crucial dynamic component, faces challenges of structural design because its structural parameters create conflicting demands for hydrodynamic performance and leakage control, highlighting the complexity inherent in its design and optimization. This study combines hydrodynamic calculations and multi-objective optimization to propose a seal structure that maximizes load-carrying capacity while minimizing leakage, thereby improving lubrication and extending service life. We optimized the wear ring grooved structure using the response surface method (RSM) and non-dominated sorting genetic algorithm II (NSGA-II) algorithm. This integrated approach significantly enhances structural performance, increasing oil film load-carrying capacity by approximately 24 % and reducing leakage by 10.9 %, while achieving more efficient and precise solutions. This systematic framework advances dynamic seal design by reconciling conflicting performance parameters through multi-objective optimization.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Multi-objective optimization of wear ring grooved geometry in radial combination seals using RSM and NSGA-II

  • 期刊论文

  • 发表日期：

    2026年3月9日

查看全文
  • Nan Wang,
  • Xue Ling,
  • Jianqiao Hu,
  • Ziyi Zhou,
  • Weihao Sun,
  • Tangshengjie Wei,
  • Longxiang Yu,
  • Qin Zhou

摘要

The radial combination seal, a crucial dynamic component, faces challenges of structural design because its structural parameters create conflicting demands for hydrodynamic performance and leakage control, highlighting the complexity inherent in its design and optimization. This study combines hydrodynamic calculations and multi-objective optimization to propose a seal structure that maximizes load-carrying capacity while minimizing leakage, thereby improving lubrication and extending service life. We optimized the wear ring grooved structure using the response surface method (RSM) and non-dominated sorting genetic algorithm II (NSGA-II) algorithm. This integrated approach significantly enhances structural performance, increasing oil film load-carrying capacity by approximately 24 % and reducing leakage by 10.9 %, while achieving more efficient and precise solutions. This systematic framework advances dynamic seal design by reconciling conflicting performance parameters through multi-objective optimization.