Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBehera, Ajit-
dc.contributor.authorMishra, S C-
dc.contributor.authorBehera, A-
dc.contributor.authorDhal, J P-
dc.identifier.citationJournal of Materials, Volume 2013, Article ID 150671, 6 pagesen
dc.descriptionCopyright belongs to proceeding publisheren
dc.description.abstractThe present piece of work describes the industrial wastes and low grade ores (fly ash + quartz + ilmenite, as the coating material), deposited onmild steel substrates. Inmany cases it is found that porosity is an important factor on the coating surface. Knowledge about the extent of these porosity imperfections is critical since they influence awide range of spray coated properties and behaviors. To decrease the porosity by optimizing necessary operating parameters, artificial neural network (ANN) technique is used.The aim of this investigation is to find out appropriate input vectors in ANN model. ANN experimental results indicate that the projection network has good generalization capability to optimize the porosity.en
dc.format.extent773653 bytes-
dc.publisherHindawi Publishing Corporationen
dc.titlePorosity Analysis of Plasma Sprayed Coating by Application of Soft Computingen
Appears in Collections:Journal Articles

Files in This Item:
File Description SizeFormat 
porosity.pdf755.52 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.