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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/559
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Full metadata record
| DC Field | Value | Language |
|---|
| contributor.author | Sahu, Anupama | - |
| contributor.author | Das, Rojaleena | - |
| contributor.author | Sen, S | - |
| contributor.author | Mishra, S C | - |
| contributor.author | Satapathy, Alok | - |
| contributor.author | Ananthapadmanabhan, P V | - |
| contributor.author | Sreekumar, K P | - |
| date.accessioned | 2007-12-04T04:22:41Z | - |
| date.available | 2007-12-04T04:22:41Z | - |
| date.issued | 2007 | - |
| identifier.citation | International Conference on Advanced Materials and Composites (ICAMC-2007), Oct 24-26, 2007, P 741-746 | en |
| identifier.uri | http://hdl.handle.net/2080/559 | - |
| description | Copyright belongs to Proceeding publishers | en |
| description.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
and resources for experimental trials. | en |
| format.extent | 138561 bytes | - |
| format.mimetype | application/pdf | - |
| language.iso | en | - |
| publisher | NIIST, Trivandrum | en |
| subject | Plasma Spraying | en |
| subject | Alumina-Titania Coating | en |
| subject | Solid Particle Erosion | en |
| subject | Neural Network | en |
| title | Al2O3-TiO2 Wear Resistant Coatings: A Neural Computation | en |
| type | Article | en |
| Appears in Collections: | Conference Papers
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Files in This Item:
| File |
Description |
Size | Format |
|---|
| Int.Conf.__ICAMC-2007.pdf | | 135Kb | Adobe PDF | View/Open |
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