Abstrato

PREDICTION OF SURFACE ROUGHNESS AND APPLICATION OF RESPONSE SURFACE METHODOLOGY TO DEVELOP A MATHEMATICAL MODEL

N. Biswas, J. De, R. S. Sen, B. Oraon, G. Majumdar

Ni-Cu-P coating was deposited on 99.99% pure Copper substrate electrolessly. The central composite design of experiment has been considered as the statistical analysis tool. The variation in surface roughness is studied by varying three parameters Ni-ion concentration, Cu-ion concentration and reducing agent concentration of the chemical bath. The surface roughness is considered as the response in studentâÂ?Â?s t test and it has been observed that the Ni –ion source and Cu-ion source significantly influence the surface roughness at 10% level of significance. Also all the main effects (Ni-ion source, Cu-ion source, reducing ion source) and the interaction of Ni-ion and reducing agent, significantly influence the surface roughness at 20% level of significance. A mathematical model has developed considering second order response surface methodology which further considers the main effects as well as the effects of interaction and the effects of curvatures.