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Investigation of High Pressure Coolant Assisted Turning of Inconel 718 Using Taguchi and RSM Based Desirability Function


Affiliations
1 Walchand College of Engineering Sangli, Maharashtra, India
2 Dept. of Mechanical Engineering, Walchand College of Engineering Sangli, Maharashtra, India
     

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Inconel 718 is one of the widely used superalloy of Nickel used in aerospace applications. It is also considered as "Difficult to Cut" metal. In present analysis a high pressure coolant (HPC) is introduced in cutting zone to check performance of HPC while turning Inconel 718. Experiments are carried out using a high pressure coolant range between 20 to 80 bar. Taguchi methodology is used for design of experiment (DoE). ANOVA and AOM plots are used for analysis of surface roughness. Response optimization is done with Response Surface Methodology based desirability function. All the cutting parameters are found to have significant effect on surface roughness at 95 % confidence level. The optimum process parameters for surface roughness are 80 bar pressure, 67.87 m/min speed, 0.1 mm/rev. feed and 0.5 mm depth of cut.

Keywords

High Pressure Coolant, Inconel 718, Surface Roughness, Taguchi Methodology, ANOVA.
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  • Investigation of High Pressure Coolant Assisted Turning of Inconel 718 Using Taguchi and RSM Based Desirability Function

Abstract Views: 279  |  PDF Views: 3

Authors

Sunil J. Raykar
Walchand College of Engineering Sangli, Maharashtra, India
Uday A. Dabade
Dept. of Mechanical Engineering, Walchand College of Engineering Sangli, Maharashtra, India

Abstract


Inconel 718 is one of the widely used superalloy of Nickel used in aerospace applications. It is also considered as "Difficult to Cut" metal. In present analysis a high pressure coolant (HPC) is introduced in cutting zone to check performance of HPC while turning Inconel 718. Experiments are carried out using a high pressure coolant range between 20 to 80 bar. Taguchi methodology is used for design of experiment (DoE). ANOVA and AOM plots are used for analysis of surface roughness. Response optimization is done with Response Surface Methodology based desirability function. All the cutting parameters are found to have significant effect on surface roughness at 95 % confidence level. The optimum process parameters for surface roughness are 80 bar pressure, 67.87 m/min speed, 0.1 mm/rev. feed and 0.5 mm depth of cut.

Keywords


High Pressure Coolant, Inconel 718, Surface Roughness, Taguchi Methodology, ANOVA.