@ARTICLE{Nathan_D._Experimental_2024,
 author={Nathan, D. and Ramkumar, T. and Selvakumar, M.},
 volume={vol. 69},
 number={No 4},
 pages={1333-1344},
 journal={Archives of Metallurgy and Materials},
 howpublished={online},
 year={2024},
 publisher={Institute of Metallurgy and Materials Science of Polish Academy of Sciences},
 publisher={Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences},
 abstract={The study investigated end milling of Inconel 825 with varying spindle speed (N), feed rate (f) and axial depth of cut (da) with Minimum Quality Lubricant (MQL) and flooded lubrication. Molybdenum disulfide (MoS2) with the average particle size of 10 µm was used as lubricating agent. Work considered, center line average of roughness profile as a measure of surface roughness which was measured with a surface roughness tester. Material Removal Rate (MRR) was also measured experimentally using weight difference. The influence of spindle speed (N), feed rate (f) and axial depth of cut (da) during end milling of Inconel 825 on surface roughness and MRR were studied. Prediction of surface roughness by ANOVA linear model for MQL condition was found functionally adequate with R2 = 89.25% which fits with the experimental values. Also, the prediction and optimization of surface roughness using Response Surface Methodology (RSM) was proposed. It was found that, RSM model for MQL condition produced good agreement with the measurement of the given range of input cutting conditions with the prediction capability of 91.66%. Further, the machined surfaces and tool wear were analyzed using Scanning Electron Microscope (SEM) to understand the mechanisms of wear.},
 title={Experimental Investigation on the Machining Behaviour, Surface Integrity and Tool Wear Analysis in Environment Friendly Milling of Inconel 825},
 type={Article},
 URL={http://journals.pan.pl/Content/133508/AMM-2024-4-07-Ramkumar.pdf},
 doi={10.24425/amm.2024.151396},
 keywords={Inconel 825, Flooded lubrication, Minimum Quantity Lubrication, Surface Roughness, Material Removal Rate},
}