Porosity Analysis of Plasma Sprayed Coating by Application of Soft Computing | Zendy

Ajit Behera | Zendy; S C Mishra | Zendy; Asit Behera | Zendy; Jyoti Prakash Dhal | Zendy

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Porosity Analysis of Plasma Sprayed Coating by Application of Soft Computing

Author(s) -

Ajit Behera,

S C Mishra,

Asit Behera,

Jyoti Prakash Dhal

Publication year - 2013

Publication title -

journal of materials

Language(s) - English

Resource type - Journals

eISSN - 2314-4874

pISSN - 2314-4866

DOI - 10.1155/2013/150671

Subject(s) - porosity , coating , materials science , artificial neural network , quartz , ilmenite , composite material , generalization , process engineering , metallurgy , computer science , mineralogy , engineering , mathematics , artificial intelligence , geology , mathematical analysis

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

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