Neural network computation for the evaluation of process rendering: application to thermally sprayed coatings
Sofiane Guessasma
(1)
,
David Bassir
(2, 3)
David Bassir
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- Fonction : Auteur correspondant
- PersonId : 183565
- IdHAL : david-bassir
- ORCID : 0000-0002-5364-9992
- IdRef : 253122899
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Résumé
In this work, neural network computation is attempted to relate alumina and titania phase changes ofa coating microstructure with respect to energetic parameters of atmospheric plasma straying (APS) process.Experimental results were analysed using standard fitting routines and neural computation to quantify the effect ofarc current, hydrogen ratio and total plasma flow rate. For a large parameter domain, phase changes were 10% foralumina and 8% for titania with a significant control of titania phase
Format du dépôt | Notice |
---|---|
Type de dépôt | Article dans une revue |
Résumé |
en
In this work, neural network computation is attempted to relate alumina and titania phase changes ofa coating microstructure with respect to energetic parameters of atmospheric plasma straying (APS) process.Experimental results were analysed using standard fitting routines and neural computation to quantify the effect ofarc current, hydrogen ratio and total plasma flow rate. For a large parameter domain, phase changes were 10% foralumina and 8% for titania with a significant control of titania phase
|
Titre |
en
Neural network computation for the evaluation of process rendering: application to thermally sprayed coatings
|
Auteur(s) |
Sofiane Guessasma
1
, David Bassir
2, 3
1
BIA -
Unité de recherche sur les Biopolymères, Interactions Assemblages
( 37769 )
- Site de la Géraudière - BP 71627 - 44316 Nantes Cedex 3
- France
2
CMLA -
Centre de Mathématiques et de Leurs Applications
( 62 )
- ENS Cachan CNRS, PRES UniverSud, 61 Avenue du Pr´esident Wilson 94230 Cachan
- France
3
UTBM -
Université de Technologie de Belfort-Montbeliard
( 300261 )
- France
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Audience |
Internationale
|
Langue du document |
Anglais
|
Nom de la revue |
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Date de publication |
2017
|
Volume |
8
|
Numéro |
A10
|
Page/Identifiant |
1-8
|
Public visé |
Scientifique
|
Sous-type de document pour les Articles |
Research article
|
Licence |
Paternité
|
Domaine(s) |
|
DOI | 10.1051/smdo/2017003 |
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