To increase the productivity in machining industries demand for minimum cutting force, better surface finish and accuracy has been increasing rapidly in recent years. Therefore, this paper focuses on an effective approach for the optimization of process parameters. This paper investigate the effect of cutting parameters such as cutting speed, feed and depth of cut on the performance characteristics cutting force in turning of AISI 4340 steel with brazed tungsten carbide turning tools. The effects of the process parameters on performance characteristics cutting force are investigated by using Taguchi’s L9 orthogonal array and analysis of variance (ANOVA). The results show that the depth of cut is majorly affecting the cutting force, followed by feed rate. The experimental data were further analyzed and to correlate with cutting parameters using linear regression analysis. Finally machined surface of the workpiece were examined under optimal cutting conditions such as CV = 75 m/min, FR = 0.4 mm/rev and DOC = 0.5 mm) and found the minimum force is equal to 5.09kg.

AISI 4340 steel, Cutting force, Lathe Tool Dynamometer

[1] Narana Rao, S., & Satyanarayana, B. S. (2011). Experimental estimation of tool wear and cutting temperatures in MQL using cutting fluids with CNT inclusion. International Journal of Industrial Engineering Science and Technology. ISSN: 0975-5462.
[2] Shaw, M. C. (2005). Metal cutting principles. New York, NY: Oxford University Press.
[3] Dhar, N. R., Islam, S., & Kamruzzaman, M. (2007). Effect of minimum quantity lubrication (MQL) on tool wear, surface roughness and dimensional deviation in turning AISI-4340 steel. Gazi University Journal of Science, 20, 23–32.
[4] Özel, T., Hsu, T.K. and 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, International Journal of Advanced Manufacturing Technology, Vol. 25, pp. 262-269.
[5] Sachin Ohdar, Debabrata Panda, Bisal Khatua & Santosh Kumar Tripathy(2016),” Optimization of Machining Parameters of Al-SiC alloy by Using Taguchi Method”IJIR,Volume:2 pgIJI1751-1756.
[6] Sanjeev Sharma , Rajdeep singh , Sandeep Jindal (2015),”Analysis of the cutting forces of the lathe tool dynamometer”, IJIERT, Volume-2, pg 1-8.
[7] Maheshwari Patil , Dr.R.J.Patil (2012), “Study Effect Of HSS Single Point Cutting Tool Nose Radius On Cutting Edge Strength And Tool Wear In Machining Of EN9’, IJSR, Volume-3, pg 2563-2567
[8] Lan T.-S., Lo C. Y., Wang M.-Y. and Yen A-Y, “Multi Quality Prediction Model of CNC Turning Using Back Propagation Network”, Information. Proceeding of American society of mechanical engineers, (2008).
[9] Palanikumar K. and Karunamoorthy L., “Optimization of Machining Parameters in Turning GFRP Composites Using a Carbide (K10) Tool Based on the Taguchi Method with Fuzzy Logics”, metals and materials International, Vol. 12, No. 6 (2006), pp. 483-491.
[10] Dhavamani C. and Alwarsamy T., “review on optimization of machining”, international journal of academic research, (2011), Vol. 3. No. 3. May, II Part.