Manufacturing Technology Today

S. Prabhu ¹, B. K. Vinayagam ²

Affiliations
1 School of Mech. Engg., SRM University, Chennai, IN
2 Dept. of Mechatronics Engg., SRM University, Chennai, IN

Abstract

Carbon nano tube has high mechanical and electrical properties specifically high electrical conductivity. By using this property the multi wall carbon nano tube mixed with dielectric solution in EDM process can analyse the surface characteristics like surface roughness in D3 tool Steel work piece materials. Carbon nano tube will absorb the heat from electrical discharged material and minimized the white layer formed in the work piece. Experimental results indicate that the surface texture after EDM is determined by the discharge energy during processing. An excellent machined nano finish can be obtained by setting the machine parameters at low pulse energy. L9 orthogonal array was used to optimize the machining parameters in Taguchi method. The predicted surface roughness was estimated using S/N ratio and compared with actual values and parameters are optimized. Analysis of variance (ANOVA) and F-test were used to determine the significant parameters affecting the surface roughness.

Keywords

Multi Wall Carbon Nano Tube, Electric Discharge Machining Process, Surface Roughness, Taguchi Method, ANOVA, AFM Analysis.

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S. Prabhu ¹, R. Murugesan ¹, B. K. Vinayagam ¹

Affiliations
1 School of Mechanical Engg., S. R. M. University, Chennai, IN

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.

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S. Prabhu ¹, B. K. Vinayagam ¹

Affiliations
1 School of Mechanical Engineering, S. R. M. University, Chennai, Tamil Nadu, IN

Abstract

In this paper, Regression model were developed to predict surface roughness in electrical discharge machining (EDM) process. In the development o f predictive models, machining parameters of Pulse current. Pulse on duration, voltage were considered as model variables. For this purpose. Analysis of variance (ANOVA) and F-test were used to check the validity o f regression model and to determine the significant parameter affecting the surface roughness. The purpose is to investigate the superior surface finish can be obtained using multi walled carbon nanotubes in the dielectric. For this purpose Graphite electrode with and without carbon nanotubes in the dielectric is used. Later the tool steel was analyzed and the parameters are optimized using MINITAB 15 software and regression equations are compared with and without multiwall carbon nanotubes.

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