Title of article
Neural computation applied to APS spray process: Porosity analysis
Author/Authors
Guessasma، نويسنده , , S. and Coddet، نويسنده , , C.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2005
Pages
8
From page
85
To page
92
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.
Keywords
Atmospheric plasma spray process , Artificial neural network , Thermal Spray , Porosity level
Journal title
Surface and Coatings Technology
Serial Year
2005
Journal title
Surface and Coatings Technology
Record number
1809664
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