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AFM Analysis of AISI D3 Tool Steel with Multi Wall Carbon Nano Tube Using Taguchi Analysis


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

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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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  • AFM Analysis of AISI D3 Tool Steel with Multi Wall Carbon Nano Tube Using Taguchi Analysis

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Authors

S. Prabhu
School of Mech. Engg., SRM University, Chennai, India
B. K. Vinayagam
Dept. of Mechatronics Engg., SRM University, Chennai, India

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.