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Journal of Applied Sciences
  Year: 2012 | Volume: 12 | Issue: 10 | Page No.: 911-919
DOI: 10.3923/jas.2012.911.919
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Characterization of Electrodeposited Nickel-Al2O3 Composite Coatings by Experimental Method and Neural Networks

S. Jeyaraj and K.P. Arulshri

The development of composite materials and the related design and manufacturing technologies are one of the most important advances in the history of futuristic materials. Composites are multifunctional materials having unprecedented mechanical and physical properties that can be customized to meet the requirements of a particular application. Electrodeposition has been identified to be a technologically feasible and for many applications, economically superior technique for the production of nanocrystalline materials. Composite coating technology has been used extensively in many manufacturing areas. Electroplating, as a methodology is used to produce a thin layer or an additional surface on to a given substrate. Thin layer is produced to modify properties of the substrate such as wear resistance, hardness, lubricity, electrical resistance, etc. Electrodeposited composite coatings which consist of a metal matrix with either a ceramic or cermet particle addition, represent a new development in the field of coating processes. In this study an attempt was made for preparation of Ni-Al2O3 composite coatings by adjusting the plating parameters. The results of experimental work such as mass of deposit, volume fraction of Al2O3 particles in the deposit and micro hardness of the deposited layer were investigated. A neural network model was trained developed and for the prediction similarities between experimental work and neural network trained results.
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How to cite this article:

S. Jeyaraj and K.P. Arulshri, 2012. Characterization of Electrodeposited Nickel-Al2O3 Composite Coatings by Experimental Method and Neural Networks. Journal of Applied Sciences, 12: 911-919.

DOI: 10.3923/jas.2012.911.919






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