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Authors
Affiliations
1 School of Mechanical Engg., S. R. M. University, Chennai, IN
Source
Manufacturing Technology Today, Vol 9, No 2 (2010), Pagination: 3-12
Abstract
In this paper regression model were developed to predict surface roughness in lapping machining process. In the development of predictive empirical models, machining parameters of speed, machining time were considered as model variables. The collection of experimental data adopted Box-Behnken central composite design (CCD). The single wall carbon nano tube mixed with abrasive powder and micro powders used in lapping process to analysis the surface characteristics like surface roughness, micro cracks. The parameters are optimized using MINITAB 15 software and empirical models are compared with micro powder and single wall carbon nanotubes Analysis of variance (ANOVA) and F-test were used to check the validity of regression model and to determine the significant parameter affecting the surface roughness. The statistical analysis showed that the speed and machining time was an utmost parameter on surface roughness.
Keywords
Single Wall Carbon Nanotube, Lapping, Surface Roughness.
