CIESC Journal ›› 2025, Vol. 76 ›› Issue (1): 324-334.DOI: 10.11949/0438-1157.20240748

• Surface and interface engineering • Previous Articles     Next Articles

Intelligent optimization and deformation analysis of novel flexible dam foil face gas seal

Yushi LI1(), Yuan CHEN1(), Yuntang LI1, Xudong PENG2, Bingqing WANG1, Xiaolu LI1   

  1. 1.College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, Zhejiang, China
    2.College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou 310023, Zhejiang, China
  • Received:2024-07-02 Revised:2024-07-31 Online:2025-02-08 Published:2025-01-25
  • Contact: Yuan CHEN

新型柔性坝箔片端面气膜密封变形协调分析及性能智能优化

李雨诗1(), 陈源1(), 李运堂1, 彭旭东2, 王冰清1, 李孝禄1   

  1. 1.中国计量大学机电工程学院,浙江 杭州 310018
    2.浙江工业大学机械工程学院,浙江 杭州 310023
  • 通讯作者: 陈源
  • 作者简介:李雨诗(1999—),女,硕士研究生,yushili09@foxmail.com
  • 基金资助:
    浙江省自然科学基金重点项目(LZ23E050002);国家自然科学基金青年基金项目(51905513);浙江省属高校基本科研业务费专项资金项目(2021YW07)

Abstract:

A novel foil face gas seal structure with flexible seal dam is proposed. Based on the theories of gas lubrication and elastic mechanics, a theoretical model of aeroelastic coupling lubrication for the new flexible seal dam gas film seal is established. The pressure and deformation distribution of the gas film on the sealing end-face are analyzed to explore the sealing operation mechanism. The influence of working conditions and end-face structural parameters on the sealing performance is studied. The Latin hypercube sampling method is used to randomly sample key influencing factors, and an optimization model based on the MLP neural network and genetic algorithm is constructed to obtain the parameter optimization range that satisfies the objective function. The results show that the new flexible seal dam gas film seal can further improve adaptive operation capability through the deformation coordination of the sealing dam. The gap between the fan-shaped flat foil of the flexible sealing dam will increase the leakage of the seal, but the fluid dynamic pressure effect formed by the gap is conducive to the opening of the end surface. The MLP neural network-genetic algorithm optimization model can accurately predict sealing performance and effectively improve optimization accuracy and efficiency under multi-parameter and multi-objective conditions.

Key words: flexible seal dam, compliant foil face gas seal, deformation coordination, mechanical properties, optimal design, numerical analysis

摘要:

提出了一种具有柔性密封坝的新型箔片端面气膜密封结构,基于气体润滑和弹性力学相关理论建立新型柔性坝箔片端面气膜密封气弹耦合润滑理论模型,分析密封端面气膜压力和变形分布规律,探究密封运行机理,研究工况参数、端面结构参数对密封性能的影响,采用拉丁超立方抽样法对关键影响因子随机取样,构建MLP神经网络-遗传算法优化模型,获得了满足目标函数的参数优化范围。结果表明:新型柔性坝箔片端面气膜密封可通过密封坝的变形协调作用进一步提高自适应运行能力;柔性密封坝各扇形平箔片之间间隙会使密封泄漏有一定增大,但因间隙形成的流体动压效应有利于密封端面开启;MLP神经网络-遗传算法优化模型可以准确预测密封性能并有效提高多参数多目标条件下的优化精度和效率。

关键词: 柔性密封坝, 箔片端面气膜密封, 变形协调, 力学性能, 优化设计, 数值分析

CLC Number: