In this paper, the new combined algorithm (Immune-Genetic Algorithm, IGA) is applied to minimize the total weight of the shaft and the resonance response (Q factor), and to yield the critical speeds as far from the operating speed as possible. These factors play very important roles in designing a rotor-bearing system under the dynamic behavior constraints. The shaft diameter, the bearing length and clearance are chosen as the design variables. The results show that the IGA can reduce the weight of the shaft and improve the critical speed and Q factor with dynamic constraints.
Issue Section:Technical Briefs
Keywords:rotation, machine bearings, genetic algorithms, mechanical engineering computing, vibrations
Topics:Algorithms, Bearings, Design, Rotors, Q-factor, Weight (Mass), Clearances (Engineering)
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