A comprehensive multi-objective, multi-parameter and multi-condition optimization of a spiral groove in dry gas seals

Dry gas seals are widely used in rotating equipment for fluid leakage control and operating efficiency enhancement, while the geometric parameters of the spiral groove affect its sealing performance significantly. Groove width ratio δ, groove length ratio α, and spiral angle β are the selected optim...

Full description

Bibliographic Details
Main Authors: Jiang, J. (Author), Jin, J. (Author), Peng, X. (Author), Zhang, C. (Author), Zhao, W. (Author)
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02928nam a2200421Ia 4500
001 10.1007-s40430-022-03527-6
008 220510s2022 CNT 000 0 und d
020 |a 16785878 (ISSN) 
245 1 0 |a A comprehensive multi-objective, multi-parameter and multi-condition optimization of a spiral groove in dry gas seals 
260 0 |b Springer Science and Business Media Deutschland GmbH  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1007/s40430-022-03527-6 
520 3 |a Dry gas seals are widely used in rotating equipment for fluid leakage control and operating efficiency enhancement, while the geometric parameters of the spiral groove affect its sealing performance significantly. Groove width ratio δ, groove length ratio α, and spiral angle β are the selected optimization geometric parameters for different objectives, including opening force Fo, film stiffness kz, and stiffness–leakage ratio Γ. The genetic algorithm and loop iteration optimization method are used to solve the multi-dimensional optimization problems under different working conditions, which are reflected in a new dimensionless number λ in the range 1 to 1000. Moreover, a concept of optimum spectrum is developed to obtain the global optimal geometric parameters. The performance comparison of two dry gas seals with different geometric parameters is conducted experimentally to verify the effectiveness of numerical results. Results show that both genetic algorithm and loop iteration optimization method can provide optimal geometric parameters for better sealing performance than single factor optimization, and the global optimal results were significantly influenced by working conditions and objectives. The multi-dimensional optimization methods and results presented in this paper provide a theoretical and experimental reference for designing dry gas seals in different working conditions to meet various sealing performance requirements. © 2022, The Author(s), under exclusive licence to The Brazilian Society of Mechanical Sciences and Engineering. 
650 0 4 |a Condition 
650 0 4 |a Dry gas seal 
650 0 4 |a Dry-gas-seal 
650 0 4 |a Gases 
650 0 4 |a Genetic algorithm 
650 0 4 |a Genetic algorithms 
650 0 4 |a Geometric parameter 
650 0 4 |a Geometric parameters 
650 0 4 |a Geometry 
650 0 4 |a Iterative methods 
650 0 4 |a Loop iteration 
650 0 4 |a Multi dimensional 
650 0 4 |a Multi-dimensional optimization 
650 0 4 |a Optimisations 
650 0 4 |a Optimization method 
650 0 4 |a Parameter estimation 
650 0 4 |a Sealing performance 
650 0 4 |a Seals 
650 0 4 |a Spiral groove 
650 0 4 |a Stiffness 
700 1 |a Jiang, J.  |e author 
700 1 |a Jin, J.  |e author 
700 1 |a Peng, X.  |e author 
700 1 |a Zhang, C.  |e author 
700 1 |a Zhao, W.  |e author 
773 |t Journal of the Brazilian Society of Mechanical Sciences and Engineering