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The Effect of Cutting Parameters on the Surface Quality of Different Workpiece Materials for Turning Operation on CNC Machine

Satyajeet U. Manugade, Sanjaykumar M. Ingale

Abstract


In this paper an attempt has been made to find an interaction of cutting parameter on quality of surface roughness, material removing rate and cycle time for workpiece material using cutting tool material for Turing operation performed on CNC machine. Various researcher has performed full factorial experiment and partial factorial experiment to obtain the relationship and effect of these parameters. It has been found that the out of these parameters most important and for is to find the effect of different cutting parameters on the surface of the workpiece. The interaction of all three cutting parameters such as Speed, Feed and Depth of cut are having significant influence on surface roughness produced. Optimum these parameters are of tool using Taguchi method for different cutting tool materials and the workpiece materials. The experimental plan was designed with 3 factors 3 levels and L9 orthogonal array. The result indicates that with the increase in cutting speed and decrease in feed rate results in better surface finish. It was observed that optimum parameters have an impact on energy consumption, material removal rate and cycle time. The result of Taguchi analysis indicates that the effective parameter in surface roughness, vibration and energy consumption is feed rate. The roughness of surface and energy consumption increase as the vibration value increases. The interaction of feed and depth of cut have significant influence on cutting force. This review is focused on recent research carried out for turning operation on CNC machine to study the influence of cutting parameters on the quality of surface roughness for different workpiece materials.

Cite as

Satyajeet U. Manugade, & Sanjaykumar M. Ingale. (2021). The Effect of Cutting Parameters on the Surface Quality of Different Workpiece Materials for Turning Operation on CNC Machine. Research and Reviews on Experimental and Applied Mechanics, 4(1), 1–7.

http://doi.org/10.5281/zenodo.4896271


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