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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1744

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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