Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Engineering
Application Of Neural Network Analysis To Correlate The Properties Of Plasma Spray Coating, Ajit Behera
Application Of Neural Network Analysis To Correlate The Properties Of Plasma Spray Coating, Ajit Behera
Ajit Behera
Thermal spray coatings are more often being demanding process at the recent stages of industrial design processes to become fundamental element of the engineering system. The aim of the present paper is to develop a model-based estimation and control for regulating the coating adhesion strength, by using neural network. This proposed model permits cost reduction by the possibility of adjusting the parameter of the process for each of the desired properties, which can directly act as a quality control process. By this artificial neural network (ANN) technique, the possibility of adhesion strength of the mixture of flyash, quartz and illmenite …
Dependence Of Adhesion Strength Of Plasma Spray On Coating Surface Properties, Ajit Behera
Dependence Of Adhesion Strength Of Plasma Spray On Coating Surface Properties, Ajit Behera
Ajit Behera
It is well known that thermal plasma spray coatings have diversified utilizations, but not vividly in use,mainly because of high cost of spray grade powder, for development of thick coating > 50 µm on metalsubstrates. Present investigation aims at depositing plasma spray coating on metals using low-cost/waste materials. A mixture of fly-ash + 20 weight percent of Quartz + 20 weight percent of illmeniteis used for coating on copper and mild steel substrates. The powder mixture is plasma sprayed bydifferent operating power levels (11 to 21 kW) of the plasma torch. The coatings are characterized for their adhesion strength, porosity and …