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Journal of Materials
Volume 2013 (2013), Article ID 150671, 6 pages
http://dx.doi.org/10.1155/2013/150671
Research Article

Porosity Analysis of Plasma Sprayed Coating by Application of Soft Computing

1Department of Metallurgical & Materials Engineering, Indian Institute of Technology, Kharagpur, West Bengal 721302, India
2Department of Metallurgical & Materials Engineering, National Institute of Technology, Rourkela, Odisha 769008, India
3Department of Mechanical Engineering, National Institute of Technology, Rourkela, Odisha 769008, India
4Department of Chemistry, National Institute of Technology, Rourkela, Odisha 769008, India

Received 23 January 2013; Accepted 22 March 2013

Academic Editor: Marie-Louise Saboungi

Copyright © 2013 Ajit Behera et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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.