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http://hdl.handle.net/2080/1744
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| Title: | Analysis and prediction of surface roughness of plasma sprayed mild steel |
| Authors: | Behera, Ajit
Mishra, S C
Behera, S |
| Keywords: | Plasma Spraying
surface roughness
Mild Steel
ANN |
| Issue Date: | May-2012 |
| Publisher: | International Journal of Recent Scientific Research |
| Citation: | International Journal of Recent Scientific Research, Vol. 3, Issue, 5, pp.xxx - xxx, May, 2012 |
| Abstract: | In many structural applications plasma spray technique has becomes a popular technique because its capability to produce required surface properties. This paper describes about industrial wastes or low grade ore (Flay-ash+ quartz+
illmenite) as the deposition material which is to be coated on Mild Steel substrates. In many cases it is found that surface roughness parameter become crucial for structural modification. To decrease the surface roughness by optimizing other necessary properties, one of the soft computing method i.e.Artificial Neural Network (ANN) technique used. This technique efficiently
describe the approximation complexity of inter-relations in between different parameter of atmospheric plasma spray process and helps in saving time & resources for experimental trials for which it is advantageous than all
conventional methods. The aim of this investigation is to find out an appropriate
input vector set in ANN model. This methodology can provide clear understanding of ... |
| Description: | Copyright for this paper belongs to International Journal of Recent Scientific Research |
| URI: | http://hdl.handle.net/2080/1744 |
| ISSN: | 0976-3031 |
| Appears in Collections: | Journal Articles
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| File |
Description |
Size | Format |
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| ANALYSIS.pdf | | 204Kb | Adobe PDF | View/Open |
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