| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10668891 | Surface and Coatings Technology | 2005 | 8 Pages |
Abstract
An artificial neural network (ANN) methodology was developed to analyse and predict porosity level in alumina-(13 wt.%) titania coating. Background, mathematical formulation and implementation of ANN are detailed. Individual predicted effects of energetic and injection parameters are presented. The use of ANN permitted to obtain the optimal parameter combinations for which porosity is lowered in the considered parameter ranges.
Related Topics
Physical Sciences and Engineering
Materials Science
Nanotechnology
Authors
S. Guessasma, C. Coddet,