Optimal Design of Rotor-Bearing Systems Using Immune-Genetic Algorithm
2001 ◽
Vol 123
(3)
◽
pp. 398-401
◽
Keyword(s):
Q Factor
◽
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.
1999 ◽
Vol 123
(1)
◽
pp. 78-81
◽
1993 ◽
Vol 115
(2)
◽
pp. 246-255
◽
2005 ◽
Vol 30
(1)
◽
pp. 43-53
◽
Keyword(s):
2021 ◽
Vol 2137
(1)
◽
pp. 012075
2002 ◽
Vol 38
(07)
◽
pp. 107
◽
2013 ◽
Vol 8
(1)
◽
pp. 346-353