NDLI: Fuzzy Logic Analysis of Alumina-Titania Deposition Yield During APS Process

Content Provider	Springer Nature Link
Author	Kanta, Abdoul Fatah Montavon, Ghislain Planche, Marie Pierre Coddet, Christian
Copyright Year	2007
Abstract	The behavior modeling of Atmospheric Plasma Spray (APS) process requires a global approach which considers interrelated non-linear relationships between coating characteristics/properties in-service and process parameters (power, feedstock injection, kinematics, etc.). Such an approach would permit to reduce the development costs. To reach this objective, the knowledge of the interactions between process parameters plays a relevant role in the optimization. This work intends to develop a behavior model based on fuzzy logic concepts. Here, the model considers the deposition yield as the result of the process and it establishes relationships with power process parameter (arc current intensity, plasma gas total flow rate, hydrogen content) on the basis of fuzzy rules. The model hence permits to discriminate the role and the effects of each power process parameters. The modeling results are compared to experimental data. The specific case of the deposition of alumina-titania (Al$_{2}$O$_{3}$-TiO$_{2}$, 13% by weight) by Atmospheric Plasma Spraying (APS) is considered.
Starting Page	913
Ending Page	918
Page Count	6
File Format	PDF
ISSN	10599630
Journal	Journal of Thermal Spray Technology
Volume Number	16
Issue Number	5-6
e-ISSN	15441016
Language	English
Publisher	Springer US
Publisher Date	2007-10-10
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	properties of coatings spray deposition APS coatings diagnostics and control Analytical Chemistry Operating Procedures, Materials Treatment Characterization and Evaluation of Materials Materials Science Tribology, Corrosion and Coatings Surfaces and Interfaces, Thin Films
Content Type	Text
Resource Type	Article
Subject	Surfaces, Coatings and Films Materials Chemistry Condensed Matter Physics

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