The detailed design of a turbo generator rotor system is highly constrained by feasible regions for the damped natural frequencies of the system. A major problem for the designer is to find a solution that fulfills the design criterion for the damped natural frequencies. The bearings and some geometrical variables of the rotor are used as the primary design variables in order to achieve a feasible design. This paper presents an alternative approach to search for feasible designs. The design problem is formulated as an optimization problem and a genetic algorithm (GA) is used to search for feasible designs. Then, the problem is extended to include another objective (i.e., multiobjective optimization) to show the potential of using the optimization formulation and a Pareto-based GA in this rotordynamic application. The results show that the presented approach is promising as an engineering design tool.
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e-mail: anders.angantyr@cad.luth.se
e-mail: jan-olov.aidanpaa@cad.luth.se
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July 2004
Technical Papers
A Pareto-Based Genetic Algorithm Search Approach to Handle Damped Natural Frequency Constraints in Turbo Generator Rotor System Design
Anders Angantyr,
e-mail: anders.angantyr@cad.luth.se
Anders Angantyr
Department of Applied Physics and Mechanical Engineering, Division of Computer Aided Design, Lulea˚ University of Technology, Universitetsomra˚det, Porso¨n, SE 97187 Lulea˚, Sweden
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Jan Olov Aidanpa¨a¨
e-mail: jan-olov.aidanpaa@cad.luth.se
Jan Olov Aidanpa¨a¨
Department of Applied Physics and Mechanical Engineering, Division of Computer Aided Design, Lulea˚ University of Technology, Universitetsomra˚det, Porso¨n, SE 97187 Lulea˚, Sweden
Search for other works by this author on:
Anders Angantyr
Department of Applied Physics and Mechanical Engineering, Division of Computer Aided Design, Lulea˚ University of Technology, Universitetsomra˚det, Porso¨n, SE 97187 Lulea˚, Sweden
e-mail: anders.angantyr@cad.luth.se
Jan Olov Aidanpa¨a¨
Department of Applied Physics and Mechanical Engineering, Division of Computer Aided Design, Lulea˚ University of Technology, Universitetsomra˚det, Porso¨n, SE 97187 Lulea˚, Sweden
e-mail: jan-olov.aidanpaa@cad.luth.se
Contributed by the Structures and Dynamics Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received by the S&D Division October 2002; final revision received December 2003. Associate Editor: M. Mignolet.
J. Eng. Gas Turbines Power. Jul 2004, 126(3): 619-625 (7 pages)
Published Online: August 11, 2004
Article history
Received:
October 1, 2002
Revised:
December 1, 2003
Online:
August 11, 2004
Citation
Angantyr, A., and Aidanpa¨a¨, J. O. (August 11, 2004). "A Pareto-Based Genetic Algorithm Search Approach to Handle Damped Natural Frequency Constraints in Turbo Generator Rotor System Design ." ASME. J. Eng. Gas Turbines Power. July 2004; 126(3): 619–625. https://doi.org/10.1115/1.1760529
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