Porosity Analysis of Plasma Sprayed Coating by Application of Soft Computing
Joint Authors
Dhal, Jyoti Prakash
Behera, Asit
Mishra, S. C.
Behera, Ajit
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-15
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Materials Science , Minerals
Civil Engineering
Abstract EN
The present piece of work describes the industrial wastes and low grade ores (fly ash + quartz + ilmenite, as the coating material), deposited on mild steel substrates.
In many 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 a wide 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.
American Psychological Association (APA)
Behera, Ajit& Mishra, S. C.& Behera, Asit& Dhal, Jyoti Prakash. 2013. Porosity Analysis of Plasma Sprayed Coating by Application of Soft Computing. Journal of Materials،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-449807
Modern Language Association (MLA)
Behera, Ajit…[et al.]. Porosity Analysis of Plasma Sprayed Coating by Application of Soft Computing. Journal of Materials No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-449807
American Medical Association (AMA)
Behera, Ajit& Mishra, S. C.& Behera, Asit& Dhal, Jyoti Prakash. Porosity Analysis of Plasma Sprayed Coating by Application of Soft Computing. Journal of Materials. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-449807
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-449807