This paper presents the constrained optimization of the tilting pad bearing design on a gas turbine rotor system. A real coded genetic algorithm with a robust constraint handling technique is used as the optimization method. The objective is to develop a formulation of the optimization problem for the late bearing design of a complex rotor-bearing system. Furthermore, the usefulness of the search method is evaluated on a difficult problem. The effects considered are power loss and limiting temperatures in the bearings as well as the dynamics at the system level, i.e., stability and unbalance responses. The design variables are the bearing widths and radial clearances. A nominal design is the basis for comparison of the optimal solution found. An initial numerical experiment shows that finding a solution that fulfills all the constraints for the system design is likely impossible. Still, the optimization shows the possibility of finding a solution resulting in a reduced power loss while not violating any of the constraints more than the nominal design. Furthermore, the result also shows that the used search method and constraint handling technique works on this difficult problem.
Skip Nav Destination
e-mail: joa@cad.luth.se
Article navigation
October 2006
Technical Papers
Constrained Optimization of Gas Turbine Tilting Pad Bearing Designs
Jan-Olov Aidanpää
Jan-Olov Aidanpää
Division of Computer Aided Design, Department of Applied Physics and Mechanical Engineering,
e-mail: joa@cad.luth.se
Luleå University of Technology
, 97187 Luleå, Sweden
Search for other works by this author on:
Anders Angantyr
Jan-Olov Aidanpää
Division of Computer Aided Design, Department of Applied Physics and Mechanical Engineering,
Luleå University of Technology
, 97187 Luleå, Swedene-mail: joa@cad.luth.se
J. Eng. Gas Turbines Power. Oct 2006, 128(4): 873-878 (6 pages)
Published Online: October 25, 2005
Article history
Received:
May 11, 2004
Revised:
October 25, 2005
Citation
Angantyr, A., and Aidanpää, J. (October 25, 2005). "Constrained Optimization of Gas Turbine Tilting Pad Bearing Designs." ASME. J. Eng. Gas Turbines Power. October 2006; 128(4): 873–878. https://doi.org/10.1115/1.2179463
Download citation file:
Get Email Alerts
Temperature Dependence of Aerated Turbine Lubricating Oil Degradation from a Lab-Scale Test Rig
J. Eng. Gas Turbines Power
Multi-Disciplinary Surrogate-Based Optimization of a Compressor Rotor Blade Considering Ice Impact
J. Eng. Gas Turbines Power
Experimental Investigations on Carbon Segmented Seals With Smooth and Pocketed Pads
J. Eng. Gas Turbines Power
Related Articles
Multiobjective Optimum Design of Rotor-Bearing Systems With Dynamic Constraints Using Immune-Genetic Algorithm
J. Eng. Gas Turbines Power (January,2001)
A Pareto-Based Genetic Algorithm Search Approach to Handle Damped Natural Frequency Constraints in Turbo Generator Rotor System Design
J. Eng. Gas Turbines Power (July,2004)
Constrained Design Optimization of Rotor-Tilting Pad Bearing Systems
J. Eng. Gas Turbines Power (December,2010)
Operation of a Mesoscopic Gas Turbine Simulator at Speeds in Excess of 700,000 rpm on Foil Bearings
J. Eng. Gas Turbines Power (January,2007)
Related Proceedings Papers
Related Chapters
Performance and Mechanical Equipment Standards
Handbook for Cogeneration and Combined Cycle Power Plants, Second Edition
Outlook
Closed-Cycle Gas Turbines: Operating Experience and Future Potential
Research Tools
Bearing Dynamic Coefficients in Rotordynamics: Computation Methods and Practical Applications