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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/1695

Title: Prediction and Analysis of Deposition Efficiency of Plasma Spray Coating Using Artificial Intelligence Method
Authors: Behera, Ajit
Mishra, S C
Keywords: ANN
Plasma Spraying
Deposition Efficiency
Power Level
Particle Size
Feed Rate
Issue Date: Apr-2012
Publisher: SciRes
Citation: Open Journal of Composite Materials, 2012, 2, 54-60
Abstract: Modern industrial technologies call for the development of novel materials with improved surface properties, lower costs and environmentally suitable processes. Plasma spray coating process has become a subject of intense research which attempts to create functional layers on the surface is obviously the most economical way to provide high per- formance to machinery and industrial equipments. The present work aims at developing and studying the industrial wastes (Flay-ash, Quartz and illmenite composite mixture) as the coating material, which is to be deposited on Mild Steel and Copper substrates. To study and evaluate Coating deposition efficiency, artificial neural network analysis (ANN) technique is used. By this quality control technique, it is sufficient to describe approximation complex of in- ter-relationships of operating parameters in atmospheric plasma spray process. ANN technique helps in saving time and resources for experimental trials. The aim of this work is to outline a...
Description: Copyright belongs to SciRes
URI: http://doi.dx.org/10.4236/ojcm.2012.22008
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