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TECHNICAL BRIEFS

Optimal Design of Rotor-Bearing Systems Using Immune-Genetic Algorithm

[+] Author and Article Information
Byeong-Keun Choi

Mechanical and Aerospace Engineering, College of Engineering and Applied Sciences, Arizona State University, ERC #525, Tempe, AZ 85287-6106, e-mail: bgchoi@asu.edu

Bo-Suk Yang

School of Mechanical Engineering, Pukyong National University San 100, Yongdang-dong, Nam-Ku, Pusan 608-739, South Korea, e-mail: dmlab@dolphin.pknu.ac.kr

J. Vib. Acoust 123(3), 398-401 (Mar 01, 2001) (4 pages) doi:10.1115/1.1377021 History: Received November 01, 1999; Revised March 01, 2001
Copyright © 2001 by ASME
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References

Diewald, W., and Nordmann, R., 1990, “Parameter Optimization for the Dynamics of Rotating Machinery,” Proceedings, 3rd International Conference on Rotor Dynamics, Lyon, France, pp. 51–55.
Shiau,  T. N., and Hwang,  J. L., 1990, “Optimum Weight Design of a Rotor Bearing System with Dynamic Behavior Constraints,” ASME J. Eng. Gas Turbines Power, 112, pp. 454–462.
Isao,  T., Seiichi,  K., and Hironori,  H., 1997, “An Evolutionary Optimization Based on the Immune System and its Application to the VLSI Floor Plan Design Problem,” Trans. Inst. Electr. Eng. Jpn., Part C, 117-C, No. 7, pp. 821–827.
Choi, B. G., and Yang, B. S., 1999, “Multi-objective Optimum Design of Rotor-Bearing Systems with Dynamic Constraints Using Immune-Genetic Algorithm,” Proceedings, ASME Design Engineering Technical Conferences ’99, Las Vegas, NV, USA, September 12–15, VIB-8299.
Choi,  B. G., and Yang,  B. S., 2000, “Optimum Shape Design of Rotor Shafts Using Genetic Algorithm,” J. Vib. Control, 6, No. 2, pp. 207–222.
Goldberg, D. E., 1989, Genetic Algorithms in Search, Optimization & Machine Learning, Addision Wesley, NY.
Shima,  T., 1995, “Global Optimization by a Niche Method for Evolutionary Algorithm,” J. Systems, Control and Information, 8, No. 2, pp. 94–96. (in Japanese)
Nelson,  H. D., and McVaugh,  J. M., 1976, “The Dynamics of Rotor-Bearing Systems Using Finite Elements,” ASME J. Ind., 98, No. 2, pp. 71–75.

Figures

Grahic Jump Location
The schematic of motor model
Grahic Jump Location
Campbell diagram of an original and optimum design
Grahic Jump Location
Unbalance response of an original and optimum design (node number=14)
Grahic Jump Location
Unbalance response of an original and optimum design (node number=4)

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