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http://hdl.handle.net/2080/559
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| 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 |
| Appears in Collections: | Conference Papers
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Files in This Item:
| File |
Description |
Size | Format |
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| Int.Conf.__ICAMC-2007.pdf | | 135Kb | Adobe PDF | View/Open |
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