Abstract
In this paper, we report development of carbon nanotubes-based nanocoating on turning tooltip. Then the same tooltip was used in hard turning of EN-31 steel 48HRC. Taguchi optimization methodology was utilized in optimizing the most important machining indicator or output viz. surface finish. The input machining parameters taken in this study were a type of cutting tool, cutting conditions, cutting speed, feed rate, and depth of cut. Taguchi orthogonal array L27 (OA) was selected for design of experiments. ANOVA and S/N ratio ‘smaller the better’ was used for analysis of recorded observations. The primary findings of this research were the effectiveness of the carbon nanotubes-based nanocoating as predicted by results. Depth of cut, cutting speed, cutting conditions, type of coating, and feed rate in the given order had a role in determining the surface finish. The characterization of carbon nanotubes-based nanocoating was done using Scanning Electron Microscopy and Tunnel Electron Microscopy.
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Acknowledgements
This researched was enriched by the contributions of Dr. P. K. Tyagi, Applied Physics Department, DTU, New Delhi, India, Mr. Manjit Singh, Mr. Rajesh Bora, Mr. Rajesh Kumar, Mr. Sunil Kumar, Mechanical Engineering Dept. DTU, Delhi.
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Gupta, N., Walia, R.S., Agrawal, A.K. (2020). Robust Taguchi Based Optimization of Surface Finish During Hard Turning EN 31 with Carbon Nanotubes-Based Nano-Coated Tip. In: Kumar, H., Jain, P. (eds) Recent Advances in Mechanical Engineering. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-1071-7_24
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DOI: https://doi.org/10.1007/978-981-15-1071-7_24
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