Journal bearing optimization for minimum lubricant viscosity
DOI:
https://doi.org/10.32972/dms.2016.006Keywords:
journal bearing, minimum viscosity of lubricant, multidisciplinary optimization, evolutionary RVA algorithmAbstract
In this paper the optimum geometry of journal bearings is determined for the minimum possible viscosity of the lubricant. During the investigations the basic equation of the THD (Thermo-hydrodynamic) state of hydrodynamic journal bearings is solved by using the finite difference technique, while for the optimization the RVA (Random Virus Algorithm) is used. Design variables are the coordinates of the 40 keypoints selected for creating the finite difference mesh. All the operational and geometry limits are included as implicit constraints. As the result of the optimization process, the lubricant viscosity can be considerably decreased compared to the starting design, this makes possible to apply water as lubricant in the bearing. This will decrease the lubricant cost by more than 95%, which is a very important achievement.
References
Goldberg, D. E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Massachusetts, USA, 1989.
Szota, Gy.-Döbröczöni, Á.: Influence of the adhesiveness of lubricants on load carrying capacity and coefficient of friction of hydrodynamic sliding surface pairs. In: STACHOWIAK, G. W. (ed.): AUSTRIB'94 International Tribology Conference. Perth, Australia, 5-8 December, 1994, 135-139.
Kovács, B.-Szabó, F. J.-Szota, Gy.: A generalized shape optimization procedure for the solution of linear partial differential equations with application to multidisciplinary optimization. Structural and Multidiscip-linary Optimization, 21, No. 4 (2001), 327-331. https://doi.org/10.1007/PL00013280
Szabó, F. J.: Edge Shape Optimization of Finite Width Sliding Bearings. Comput. Sci. Appl., Vol. 2, No. 1 (2015), 29-35.
Szabó, F. J.: Multidisciplinary optimization of a structure with temperature dependent material characteristics, subjected to impact loading. International Review of Mechanical Engineering, Vol. 2, No. 3 (2008), 499-505.
