Optimal design of a squeeze film damper using an enhanced genetic algorithm |
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Authors: | Ahn Young Kong Kim Young-Chan Yang Bo-Suk |
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Affiliation: | (1) School of Mechanical Engineering, Pukyong National University, San 100, Yongdang-dong, 608-739 Nam-gu, Busan, Korea |
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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. |
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Keywords: | Squeeze Film Damper Genetic Algorithm Optimum Design Rotor Dynamics Global Optimization |
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