| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 615559 | Tribology International | 2012 | 14 Pages |
Abstract
⺠Empirically derived flow and power loss equations that accurately predict these two important journal bearing parameters. ⺠Five variable optimization model that can easily be implemented (Matlab program included). ⺠Hybrid optimization offers the dual benefits of both gradient based and genetic algorithms for improved convergence. ⺠Improved model predictions over current models.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Colloid and Surface Chemistry
Authors
Miles Zengeya, Mohamed Gadala,