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The Effect of Tool Coating Material and Cutting Parameters on the Surface Quality and Material Removal Rate of EN24 Steel Material for Turning Operation on CNC Machine

Satyajeet U. Manugade, Sanjaykumar M. Ingale, Pritam V. Patil, Vishwajeet U. Manugade

Abstract


To find the effect of cutting parameters on the surface finish of the EN24 steel by using two different insert materials. The interaction of all three cutting parameters as Speed, Feed and Depth of cut are having a significant influence on surface roughness produced and material removal rate achieved.

Optimum these are the Taguchi method tool settings for various cutting tool materials and workpiece materials. The experimental strategy used three factors, three levels, and an L9 orthogonal array. The results show that increasing the cutting speed and decreasing the feed rate resulted in a superior surface finish. It was observed that optimum parameters have an impact on material removal rate energy consumption, tool life and vibration. According to the Taguchi study, the feed rate is the effective parameter in surface roughness, vibration, and energy consumption. As the vibration value increases, so do the surface roughness and energy consumption. Cutting force is heavily influenced by the relationship between feed and depth of cut. If the material removal rate increases, then it decreases the surface finish value, both are opposite to each other. This research is focused on the optimization of cutting parameters for surface roughness and material removal rate for turning operation on a CNC machine. To study the influence of cutting parameters on the quality of surface roughness and Material Removal Rate for EN24 steel material by using TT Casting and TT Steel inserts.

Cite as

Satyajeet U. Manugade, Sanjaykumar M. Ingale, Pritam V. Patil, & Vishwajeet U. Manugade. (2023). The Effect of Tool Coating Material and Cutting Parameters on the Surface Quality and Material Removal Rate of EN24 Steel Material for Turning Operation on CNC Machine. Research and Reviews: Journal of Mechanics and Machines, 4(3), 1–9. https://doi.org/10.5281/zenodo.7539879



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