Volume 8, 2021
|Number of page(s)||20|
|Published online||08 January 2021|
Experimental analysis of process parameters in drilling nimonic C263 alloy under nano fluid mixed MQL environment
Department of Mechatronics Engineering, Chennai Institute of Technology, Chennai 600069, India
2 Department of Mechanical Engineering, MNM Jain Engineering College, Chennai 600097, India
3 Department of Mechanical Engineering, Hindustan Institute of Technology and Science, Padur, Chennai 603103, India
4 Former Scientist F, CVRDE and Visiting Professor, Department of Manufacturing Engineering, Anna university, Chennai
5 ARE PEE Polymer, Gummidipoondi, Tiruvallur 601201, India
* e-mail: email@example.com
Accepted: 19 December 2020
Nimonic C263 is a super alloy and it is difficult to cut. As this alloy possess high proportion of chromium, cobalt, and molybdenum, which fortify the material by solution hardening, which inhibits the dislocation movement, resulting in higher plastic deformation. In this research, an attempt has been made to model, analysis and investigate the machining characteristics such as thrust force, temperature at drill cutting edge, flank wear and surface finish during drilling of this alloy using silver nano fluid mixed Minimum Quantity Lubrication (MQL) environment. Residual stress at various combinations of process parameters was also observed and discussed. RSM based empirical models of the process parameters and optimization of multi response was developed. Thrust force, Temperature at drill cutting edge, surface roughness and tool wear affected by feed rate (percentage of contribution-60%), spindle speed (percentage of contribution-88.63%), spindle speed (percentage of contribution-71.42%) and feed rate (percentage of contribution-67.76%) respectively followed by other parameters.
Key words: Nimonic C263 / thrust force / temperature at drill cutting edge / surface roughness / flank wear / Nano fluid / MQL
© C. Ezilarasan et al., Hosted by EDP Sciences 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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