Optimization and Analysis of Surface Roughness in CNC Turning Inconel 718 using Taguchi’s and ANOVA analysis


Research Paper (postgraduate), 2015

8 Pages


Abstract or Introduction

The purport of this experimentation was to fixate on the analysis of optimum cutting conditions to get the minimum surface roughness in CNC turning of Inconel 718 alloy steel by Taguchi method. The nine experiments were designed by utilizing Minitab17 software. In this research work all the tribulations were conducted at a constant spindle speed (2800 RPM) and in a dry environment.

The results were analyzed utilizing analysis of variance (ANOVA) method. Taguchi method has shown that cutting speed has a consequential role to play in engendering lower surface roughness followed by aliment rate. The vibrations of the implement wear, implement life are the other factors which may contribute poor surface roughness to the results and such factors ignored in analyses.

The results obtained by this research work may be subsidiary for another researcher for further study for other replications such as implement vibration, implement wear, implement life, cutting forces etc.

Details

Title
Optimization and Analysis of Surface Roughness in CNC Turning Inconel 718 using Taguchi’s and ANOVA analysis
Course
Mechanical
Author
Year
2015
Pages
8
Catalog Number
V316674
ISBN (eBook)
9783668155268
ISBN (Book)
9783668155275
File size
884 KB
Language
English
Notes
Presenten at First National Conference On Green Technology and Sustainable Development, 27-28 March 2015, Anuradha Engineering College, Chikhli, Dist.-Buldhana
Keywords
Dry turning, Minitab17, Surface roughness, Taguchi’s method, ANOVA
Quote paper
Krupal Pawar (Author), 2015, Optimization and Analysis of Surface Roughness in CNC Turning Inconel 718 using Taguchi’s and ANOVA analysis, Munich, GRIN Verlag, https://www.grin.com/document/316674

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