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Artificial Intelligence Computation to Establish Relationships Between APS Process Parameters and Alumina–Titania Coating Properties

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Abstract

Modeling the behavior of air plasma spray (APS) process, one of the challenges nowadays is to identify the parameter interdependencies, correlations and individual effects on coating properties, characteristics and influences on the in-service properties. APS modeling requires a global approach which considers the relationships between coating characteristics/ in-service properties and process parameters. Such an approach permits to reduce the development costs. This is why a robust methodology is needed to study these interrelated effects. Artificial intelligence based on fuzzy logic and artificial neural network concepts offers the possibility to develop a global approach to predict the coating characteristics so as to reach the required operating parameters. The model considered coating properties (porosity) and established the relationships with power process parameters (arc current intensity, total plasma gas flow rate, hydrogen content) on the basis of artificial intelligence rules. Consequently, the role and the effects of each power process parameter were discriminated. The specific case of the deposition of alumina–titania (Al2O3–TiO2, 13% by weight) by APS was considered.

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Acknowledgements

The French National Agency for Innovation (ANVAR) and the CNRS MRCT “Plasma network” (Réseau Plasma Froid) are gratefully acknowledged for their financial support.

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Authors and Affiliations

  1. Laboratoire d’Etudes et de Recherches sur les Matériaux, les Procédés et les Surfaces (LERMPS), Université de Technologie de Belfort-Montbéliard, 90010, Belfort Cedex, France

    Abdoul-Fatah Kanta, Marie-Pierre Planche & Christian Coddet

  2. Science des Procédés Céramiques et des Traitements de Surface (SPCTS), Université de Limoges, 87030, Limoges Cedex, France

    Ghislain Montavon

Authors
  1. Abdoul-Fatah Kanta
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  2. Ghislain Montavon
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  3. Marie-Pierre Planche
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  4. Christian Coddet
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Correspondence to Abdoul-Fatah Kanta.

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Kanta, AF., Montavon, G., Planche, MP. et al. Artificial Intelligence Computation to Establish Relationships Between APS Process Parameters and Alumina–Titania Coating Properties. Plasma Chem Plasma Process 28, 249–262 (2008). https://doi.org/10.1007/s11090-007-9116-9

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  • DOI: https://doi.org/10.1007/s11090-007-9116-9

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