An Experimental Parametric Study of the Impact of Cutting Factors on Surface Roughness of EN 19 Steel during Turning Operation

Authors

  • Vivek John Department of Mechanical Engineering, Shepherd School of Engineering &Technology, Sam Higginbottom Institute f Agriculture, Technology & Sciences, Allahabad, India Author
  • Rahul Davis Department of Mechanical Engineering, Shepherd School of Engineering &Technology, Sam Higginbottom Institute f Agriculture, Technology & Sciences, Allahabad, India Author

Keywords:

Taguchi method, EN-19 Steel, ANOVA, Signal to Noise Ratio

Abstract

The objective of this paper is to analyze and study the impact of the cutting parameters on surface roughness of EN-19 steel as the specimen and with the application of Taguchi Methodology to acquire the required data. In the current paper five different cutting parameters were taken and L-16 orthogonal array was used to get the various combinations of the optimal result from the number of experiments performed. The results were analyzed by using signal to noise ratio and ANOVA method. The Taguchi method has shown that optimal settings of the factors, for producing better surface finish, were spindle speed followed by pressurized coolant jet, rake angle, feed rate and depth of cut. Vibrations of the machining, tool chattering are the factors which contribute to poor surface finish. The results obtained by this method will be useful to other research work for similar type of study and would help the engineers as an eye openers for further research on tool vibrations, cutting forces etc.

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Published

2014-04-30

Issue

Section

Articles

How to Cite

An Experimental Parametric Study of the Impact of Cutting Factors on Surface Roughness of EN 19 Steel during Turning Operation. (2014). International Journal of Current Engineering and Technology, 4(2), 476-479. https://ijcet.evegenis.org/index.php/ijcet/article/view/554