PREDICTING THE OPTIMAL PARAMETERS BY MULTI-OBJECTIVE DECISION MAKING WHILE MACHINING AN Al6061 ALLOY USING CBN INSERTS WITH DIFFERENT CUTTING-EDGE GEOMETRIES

I Sri Phani Sushma; Samuel G.L.; Gyula Varga

doi:10.17222/mit.2023.830

I Sri Phani Sushma Department of Mechanical Engineering, IIT Madras – 600036
Samuel G.L. Department of Mechanical Engineering, IIT Madras – 600036
Gyula Varga Institute of Manufacturing Science, University of Miskolc, 3515 Miskolc, Hungary

DOI: https://doi.org/10.17222/mit.2023.830

Keywords: cutting forces, surface roughness, machining Al 6061, GRA

Abstract

The present work aims to investigate the effect of cutting-tool edge geometry on cutting force and surface finish while machining an Al6061 alloy under different conditions. A series of experiments was performed with a custom-fabricated cutting insert of a chamfered edge to observe the effect of feed rate and depth of cut on the cutting forces and surface finish. The results showed that varying the cutting-edge geometry has a significant effect on controlling the cutting forces. Also, as the feed and depth of cut were reduced (at high cutting speeds), the surface roughness was observed to reduce with the geometry effect. Furthermore, in the present work validation of the experimental results were also performed based on a multi-criteria decision-making method called Grey Relational Analysis (GRA). The weighted GRA predicted the optimal combination of machining parameters for two different cutting-tool inserts. Finally, the obtained optimal results were compared with the predicted and experimental values in terms of weighted GRG. The result shows that there was no significant improvement while using the standard cutting tool, whereas a net improvement of 16.9 % was observed while using the chamfered cutting tool for machining the Al 6061 alloy.

References

1. M. Rasidi Ibrahim, A. Afiff Latif, M. Fahrul Hassan, A. M. T Arifin and A. Zahid Amran , Effect of Feed Rate and Depth of Cut on Cutting Forces and Surface Roughness when End Milling of Mild Steel using NOVIANO Cutting Tool , Proceedings of the International Conference on Industrial Engineering and Operations Management Rabat, Morocco, April 11-13, 2017 1777.
2. Zębala, W., Kowalczyk, R., & Matras, A. (2015). Analysis and optimization of sintered carbides turning with CBN tools. Procedia Engineering, 100, 283-290.
3. Li, X., & Seah, W. K. H. (2001). Tool wear acceleration in relation to workpiece reinforcement percentage in cutting of metal matrix composites. Wear, 247(2), 161-171.
4. Dabade, U. A., Joshi, S. S., Balasubramaniam, R., & Bhanuprasad, V. V. (2007). Surface finish and integrity of machined surfaces on Al/SiCp composites. Journal of Materials Processing Technology, 192, 166-174.
5. Zhijin, Z., & Hongjun, K. (2017). Optimization of tool geometries of CBN tool for turning ZL109 through FEM simulation. Journal of Hunan University of Science & Technology (Natural Science Edition), 02..
6. Bhushan, R. K., Kumar, S., & Das, S. (2010). Effect of machining parameters on surface roughness and tool wear for 7075 Al alloy SiC composite. The International Journal of Advanced Manufacturing Technology, 50(5-8), 459-469.
7. Özel, T., Hsu, T. K., & Zeren, E. (2005). Effects of cutting edge geometry, workpiece hardness, feed rate and cutting speed on surface roughness and forces in finish turning of hardened AISI H13 steel. The International Journal of Advanced Manufacturing Technology, 25(3), 262-269.
8. Somashekhar, K. P., J. Mathew, and N. Ramachandran. 2011. “Multi-Objective Optimization of Micro Wire Electric Discharge Machining Parameters Using Grey Relational Analysis with Taguchi Method.” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 225(7):1742–53. doi: 10.1177/0954406211400553.