DSpace@nitr >
National Institue of Technology- Rourkela >
Journal Articles >

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

Full metadata record

DC FieldValueLanguage
contributor.authorBehera, Ajit-
contributor.authorMishra, S C-
contributor.authorBehera, S-
identifier.citationInternational Journal of Recent Scientific Research, Vol. 3, Issue, 5, pp.xxx - xxx, May, 2012en
descriptionCopyright for this paper belongs to International Journal of Recent Scientific Researchen
description.abstractIn 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 various co-relationships across multiple scales of length and time which could be essential for improvement of product performance and process. ANN experimental results indicate that the projection network has good generalization capability to optimize the surface roughness. The aim of this article is to find specific parameter set for required surface roughness.en
format.extent209726 bytes-
publisherInternational Journal of Recent Scientific Researchen
subjectPlasma Sprayingen
subjectsurface roughnessen
subjectMild Steelen
titleAnalysis and prediction of surface roughness of plasma sprayed mild steelen
Appears in Collections:Journal Articles

Files in This Item:

File Description SizeFormat
ANALYSIS.pdf204KbAdobe PDFView/Open

Show simple item record

All items in DSpace are protected by copyright, with all rights reserved.


Powered by DSpace Feedback