| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10384196 | Tribology International | 2011 | 7 Pages |
Abstract
⺠Artificial neural network (ANN) was applied for modeling sliding friction and wear. ⺠Experimental data from polyphenylene sulfide composites were used to train the ANN. ⺠The trained ANN predicted the friction and wear properties with very good accuracy. ⺠The trained ANN correctly evaluated the impact of filler content on friction and wear.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Colloid and Surface Chemistry
Authors
Lada A. Gyurova, Klaus Friedrich,