Optimal Design of Rotor-Bearing Systems Using Immune-Genetic Algorithm-Reference-Cited by-同舟云学术

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

Published:2001-03-01 Issue:3 Volume:123 Page:398-401
ISSN:1048-9002
Container-title:Journal of Vibration and Acoustics
language:en
Short-container-title:

Author:

Choi Byeong-Keun¹,Yang Bo-Suk²

Affiliation:

1. Mechanical and Aerospace Engineering, College of Engineering and Applied Sciences, Arizona State University, ERC #525, Tempe, AZ 85287-6106,

2. School of Mechanical Engineering, Pukyong National University San 100, Yongdang-dong, Nam-Ku, Pusan 608-739, South Korea,

Abstract

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.

Publisher

ASME International

Subject

General Engineering

Link

http://asmedigitalcollection.asme.org/vibrationacoustics/article-pdf/123/3/398/5597417/395_1.pdf

Reference8 articles.

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

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