Authors : C Labesh Kumar; K. Anjaneyulu; Shaik Basha; M. Uday

Volume/Issue : Volume 10 - 2025, Issue 1 - January

Google Scholar : https://tinyurl.com/yzt96tn7

Scribd : https://tinyurl.com/y3ntkxvh

DOI : https://doi.org/10.5281/zenodo.14769352

Abstract : The most critical factors improving the performance of CNC milling operations is the optimization of machining parameters, especially in the case of medium-carbon steel such as EN8, used for automobile and engineering purposes due to its tensile strength and good machinability. The significant process parameters in this research work are optimized; they are Feed Rate, Spindle Speed and Cutting Speed for better surface finish, MRR, and tool wear in CNC milling of EN8. This study is conducted through a number of controlled experiments by the Taguchi's method with the help of statistical tools like ANOVA. Several process conditions are being studied to find the optimized condition which minimizes surface roughness with the simultaneous maximum MRR. From the results, it shows that surface finish is found highly sensitive to Depth of Cut and Spindle Speed; the MRR is much affected by feed rate only. Moreover, it reveals that the tool wearage significantly depends on the interdependence of Feed Rate as well as Feed Rate. The study concludes with the recommendation of an optimum set of process parameters by providing a balance between conflicting requirements of surface quality and productivity. The results are therefore contributions toward better efficiency in the machining operations, that entail less cost, enhanced quality, and longer tool lives during the milling operation for EN8 steel. Potential further research could include optimization based on multi-objective methods by employing genetic algorithms in making further refinements of the process.

Keywords : CNC Milling, EN8 Steel, Process Optimization, Surface Finish, Material Removal Rate, Taguchi Method, ANOVA, Tool Wear.

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