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Research on leakage prediction of metal sealing ring based on statistical characteristics
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Weiping LI1, Hao YANG1, Chao DENG2, Shenlong LI3
Fluid Machinery | 2025, 53(9) : 95 - 103
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Fluid Machinery | 2025, 53(9): 95-103
Research on leakage prediction of metal sealing ring based on statistical characteristics
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Weiping LI1, Hao YANG1, Chao DENG2, Shenlong LI3
Affiliations
  • 1State Key Laboratory of Advanced Design and Manufacturing of Automobile Body,Hunan University,Changsha 411082,China
  • 2Changsha Lansheng Technology Co.,Ltd.,Changsha 410000,China
  • 3China Hangfa Changjiang Power Co.,Ltd.,Yueyang 414100,China
Published: 2025-09-30 doi: 10.3969/j.issn.1005-0329.2025.09.013
Outline
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Aiming at the issue of insufficient accuracy in leakage prediction for metal sealing rings,which leads to increased R&D costs,a leakage prediction method based on statistical characteristics is proposed.The surfaces of C‑shaped metal sealing rings made of two materials (GH4169 and GH738) after grinding and polishing were scanned using a laser confocal microscope to obtain their micro‑anisotropic surface morphology.Based on statistical methods,an anisotropic rough surface model was constructed.This model was combined with finite element analysis and computational fluid dynamics to predict the leakage rate of the sealing ring,and a study on the influencing factors was conducted.Experimental validation shows that the error between the numerically calculated leakage and the actual measured leakage is only about 10%.Under the same working conditions,when the sealing pressure difference is reduced from 0.6 MPa to 0.3 MPa,the leakage rate of the sealing ring decreases by 49.6%;when the root mean square roughness of the sealing ring surface is reduced from 1.2 μm to 0.9 μm,the leakage rate decreases by approximately 43%;when the surface contact stress increases from 0 MPa to 380 MPa,the leakage rate decreases by about 98.7%.These results indicate that the sealing performance of the ring can be improved by reducing the surface root mean square roughness,increasing the surface contact stress,and reducing the pressure difference between the inner and outer cavities.This study provides a theoretical basis for the subsequent development and evaluation of metal sealing rings.

metal sealing ring  /  the amount of leakage  /  anisotropy  /  computational fluid dynamics  /  statistics
李伟平, 杨昊, 邓超, 李神龙. 基于统计特征金属封严环泄漏量预测研究. 流体机械, 2025 , 53 (9) : 95 -103 . DOI: 10.3969/j.issn.1005-0329.2025.09.013
Weiping LI, Hao YANG, Chao DENG, Shenlong LI. Research on leakage prediction of metal sealing ring based on statistical characteristics[J]. Fluid Machinery, 2025 , 53 (9) : 95 -103 . DOI: 10.3969/j.issn.1005-0329.2025.09.013
Year 2025 volume 53 Issue 9
87
31
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Article Info
doi: 10.3969/j.issn.1005-0329.2025.09.013
  • Receive Date:2024-12-03
  • Online Date:2026-10-20
  • Published:2025-09-30
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History
  • Received:2024-12-03
  • Revised:2025-07-25
Affiliations
    1State Key Laboratory of Advanced Design and Manufacturing of Automobile Body,Hunan University,Changsha 411082,China
    2Changsha Lansheng Technology Co.,Ltd.,Changsha 410000,China
    3China Hangfa Changjiang Power Co.,Ltd.,Yueyang 414100,China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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