首页|Analysis and Key Parameter Optimization Design of Leningrader Seal Performance

Analysis and Key Parameter Optimization Design of Leningrader Seal Performance

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In order to improve the performance and service life of the Leningrader seal of the Stirling engine piston rod,interference,pre-load and friction coefficient were taken as influencing factors,and the curved surface response method was adopted to reduce the contact stress of sealing surface and von Mises stress of the sealing sleeve as the response index,with the optimization goal of reducing wear and extending life.The above three key parameters are analyzed and optimized,the influence of each parameter on the sealing performance and service life is obtained,and the best combination scheme of the three is determined.The results show that the interaction between pre-tightening force and interference fit has the greatest impact on contact stress.The interaction between interference fit and friction coeffi-cient has the most significant effect on von Mises stress.The optimized parameters can reduce the maximum contact stress and maximum von Mises stress of the sealing sleeve by 26.3%and 20.6%,respectively,under a media pressure of 5-9 MPa.Test bench verification shows that the leakage of the optimized sealing device in 12 h is reduced by 0.44 cc·min-1(1 cc=1 cm3).The wear rate of the sealing sleeve is 1.08%before optimization and 0.45%after optimization,indicating that the optimized parameters in this paper are effective.

Leningrader sealStirling engineperformance analysisoptimized designparameter configuration

YANG Dongya、WANG Xuelin、WANG Feng、ZHANG Hailong、GAO Gui

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College of Mechanical and Electrical Engineering,Lanzhou University of Technology,Lanzhou 730050,Gansu China

Wenzhou Pump and Valve Engineering Research Institute,Lanzhou University of Technology,Wenzhou 325000,Zhejiang,China

State Key Laboratory of Solid Lubrication,Lanzhou Institute of Chemical Physics,Chinese Academy of Sciences,Lanzhou 730000,Gansu,China

National Natural Science Foundation of ChinaWenzhou Public Welfare Industrial Technology Project

51675509G20170026

2024

武汉大学自然科学学报(英文版)
武汉大学

武汉大学自然科学学报(英文版)

CSTPCD
影响因子:0.066
ISSN:1007-1202
年,卷(期):2024.29(2)
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