Experimental verification: a multi-objective optimization method for inversion technology of hydrodynamic journal bearings

Aiming at the key design variables of journal bearings, a novel optimization scheme is proposed to minimize oil leakage and power loss. For the first time, the inversion technology is introduced into the multi-objective optimization genetic algorithm under thermohydrodynamics. Using the hybrid optim...

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Veröffentlicht in:	Structural and multidisciplinary optimization Jg. 66; H. 1; S. 14
Hauptverfasser:	Zhang, Jingjun, Lu, Liming, Zheng, Zhiyi, Tong, Haiyang, Huang, Xuanjun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2023 Springer Nature B.V
Schlagworte:	Computational Mathematics and Numerical Analysis Engineering Engineering Design Errors Genetic algorithms Grooves Journal bearings Leakage Model accuracy Multiple objective analysis Optimization Pareto optimization Pareto optimum Prediction models Quadratic programming Research Paper Theoretical and Applied Mechanics Thermohydrodynamics Thermohydrodynamics Optimization methods Inversion technology Journal bearing
ISSN:	1615-147X, 1615-1488
Online-Zugang:	Volltext
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