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Optimal Design of a Squeeze Film Damper Using an Enhanced Genetic Algorithm  

Ahn, Young-Kong (School of Mechanical Engineering, Pukyong National University)
Kim, Young-Chan (School of Mechanical Engineering, Pukyong National University)
Yang, Bo-Suk (School of Mechanical Engineering, Pukyong National University)
Publication Information
Journal of Mechanical Science and Technology / v.17, no.12, 2003 , pp. 1938-1948 More about this Journal
Abstract
This paper represents that an enhanced genetic algorithm (EGA) is applied to optimal design of a squeeze film damper (SFD) to minimize the maximum transmitted load between the bearing and foundation in the operational speed range. A general genetic algorithm (GA) is well known as a useful global optimization technique for complex and nonlinear optimization problems. The EGA consists of the GA to optimize multi-modal functions and the simplex method to search intensively the candidate solutions by the GA for optimal solutions. The performance of the EGA with a benchmark function is compared to them by the IGA (Immune-Genetic Algorithm) and SQP (Sequential Quadratic Programming). The radius, length and radial clearance of the SFD are defined as the design parameters. The objective function is the minimization of a maximum transmitted load of a flexible rotor system with the nonlinear SFDs in the operating speed range. The effectiveness of the EGA for the optimal design of the SFD is discussed from a numerical example.
Keywords
Squeeze Film Damper; Genetic Algorithm; Optimum Design; Rotor Dynamics; Global Optimization;
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Times Cited By KSCI : 1  (Citation Analysis)
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