Optimal design of rotor-bearing systems using immune-genetic algorithm

In this paper, the new combined algorithm (Immune-Genetic Algorithm, IGA) i s applied to minimize the total weight of the shaft and the resonance respo nse (Q factor), and to yield the critical speeds as far front the operating speed as possible. These factors play very important roles in designing a rotor-bearing system under the dynamic behavior constraints. The shaft diam eter, the bearing length and clearance are chosen as the design variables. The results shoal that the IGA cat reduce the weight of the shaft arid impr ove the critical speed and Q factor with dynamic constraints.