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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/559

Title: Al2O3-TiO2 Wear Resistant Coatings: A Neural Computation
Authors: Sahu, Anupama
Das, Rojaleena
Sen, S
Mishra, S C
Satapathy, Alok
Ananthapadmanabhan, P V
Sreekumar, K P
Keywords: Plasma Spraying
Alumina-Titania Coating
Solid Particle Erosion
Neural Network
Issue Date: 2007
Publisher: NIIST, Trivandrum
Citation: International Conference on Advanced Materials and Composites (ICAMC-2007), Oct 24-26, 2007, P 741-746
Abstract: Plasma sprayed alumina-titania (Al2O3-TiO2) coatings have many industrial applications. They provide a dense and hard surface coating which are resistant to abrasion, corrosion, cavitation, oxidation and erosion and are therefore regularly used for wear resistance, electrical insulation, thermal barrier applications etc. This work reports the implementation of Artificial Neural Networks (ANN) for analysis and prediction of wear behavior of plasma sprayed alumina titania composite coatings. Alumina pre-mixed with titania powder is deposited on mild steel substances by atmospheric plasma spraying at various operating power level and the coatings are subjected to solid particle erosion. ANNs are excellent tools for complex processes that have many variables and complex interactions. The analysis is made taking into account training and test procedure to predict the dependence of erosion wear behavior on angle of impact and velocity of erodent. This technique helps in saving time...
Description: Copyright belongs to Proceeding publishers
URI: http://hdl.handle.net/2080/559
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