NDLI: Application of Taguchi Method and Grey Relational Analysis in the Optimization of Coating Parameters for Surface Roughness in Electroless Nip Coating

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Application of Taguchi Method and Grey Relational Analysis in the Optimization of Coating Parameters for Surface Roughness in Electroless Nip Coating

Content Provider	Semantic Scholar
Author	Pal, Sujan Kumar Sahoo, Prasanta
Abstract	1. INTRODUCTION Electroless NiP (EN) coating is an autocatalytic deposition of a NiP alloy from an aqueous solution unto a substrate without the application of electric current. The electroless bath typically comprises an aqueous solution of metal ions, complexing agents, reducing agents and stabilizers, operating in a specific metal ion concentration, temperature and pH ranges. The deposition rate, properties of coated components and the structural behavior of deposits mainly depend upon the plating bath constituents/conditions such as the type and concentrations of the reducing agent, stabilizer, used pH and the temperature of the bath etc. [1]. Eletroless deposition process therefore differs from the conventional electroplating processes that depend on an external source of direct current in order to reduce nickel ions in the electrolyte to nickel metal on the substrate. EN coatings have got wide range of industrial applications because of their excellent mechanical, electrical, physical, corrosion, hardness, friction and wear resistance properties. Other outstanding characteristics of EN coatings include the ability to be applied to a variety of substrate material and the ability to plate uniformly on intricate part geometries [2]. In case of EN coatings, the mechanism behind the formation of the surface roughness is very complicated and process dependent [3]. Substrate surface morphology and its metallurgical condition affect the quality of EN coatings.
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Alternate Webpage(s)	http://me.buet.ac.bd/icme/icme2007/Proceedings/PDF/ICME07-AM-23.pdf
Alternate Webpage(s)	http://buet.ac.bd/me/icme2013/icme2007/Proceedings/PDF/ICME07-AM-23.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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