Design Optimization of Tilting-Pad Journal Bearing Using a Genetic Algorithm
This article focuses on the use of genetic algorithms in developing an efficient optimum design method for tilting pad bearings. The approach optimizes based on minimum film thickness, power loss, maximum film temperature, and a global objective. Results for a five tilting-pad preloaded bearing are...
Saved in:
| Main Authors: | Hamit Saruhan, Keith E. Rouch, Carlo A. Roso |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2004-01-01
|
| Series: | International Journal of Rotating Machinery |
| Online Access: | http://dx.doi.org/10.1155/S1023621X04000314 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Design Optimization of Tilting-Pad Journal Bearing Using a Genetic Algorithm
by: Saruhan Hamit, et al.
Published: (2004-01-01) -
Modeling of Tilting-Pad Journal Bearings with Transfer Functions
by: J. A. Vázquez, et al.
Published: (2001-01-01) -
Nonlinear Dynamics Analysis of Tilting Pad Journal Bearing-Rotor System
by: Jiayang Ying, et al.
Published: (2011-01-01) -
Instability Threshold of a Rigid Rotor-Tilting Pad
Journal Bearings System
by: Stefano Pagano, et al.
Published: (1997-01-01) -
Dynamic Analysis of Dual Parallel Spring-Supported Tilting Pad Journal Bearing
by: Yingze Jin, et al.
Published: (2025-03-01)