 Optimum reliable design of rolling element bearings using multi-objective optimization based on C-NSGA-IIAhmad Baklouti, Khalil Dammak and Abdelkhalak El Hami Reliability Engineering and System Safety, 2022, vol. 223, issue C Abstract: The dynamic behavior of a mechanical system is affected by the properties of the bearing under actual operating conditions. For that, rolling bearing design must provide a variety of constraints, including geometrical, kinematic and strength requirements, while providing high performance, long service life and reliability. In this work, a multi-objective optimization based on reliability analysis (MORBDO) is carried out to determine the most efficient rolling bearing internal geometrical parameters. The contribution of this work lies in the integration of the reliability of the bearing in the optimization algorithm by including the uncertainty of the internal geometric parameters of the bearing. The obtained results proved that the multi-objective based reliability optimization problem combining the hybrid method (HM) and the constrained non-dominated sorting genetic algorithm (C-NSGA-II) was able to generate reliable Pareto solutions that are well distributed with respect to the required reliability. Keywords: Rolling bearings; C-NSGA-II; Multi-objective reliability optimization; Hybrid method; Pareto front (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:223:y:2022:i:c:s0951832022001673 DOI: 10.1016/j.ress.2022.108508 Access Statistics for this article Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares More articles in Reliability Engineering and System Safety from Elsevier |
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