The Effect of Tool Construction and Cutting Parameters on Surface Roughness and Vibration in Turning of AISI 1045 Steel Using Taguchi Method

Rogov Vladimir Aleksandrovich, Ghorbani Siamak

Department of Engineering Technology, Machine Tools and Metal-Cutting Tools and Instruments, People’s Friendship University of Russia, Moscow, Russia.

DOI: 10.4236/mme.2014.41002                

Abstract

This paper presents an experimental investigation focused on identifying the effects of cutting conditions and tool construction on the surface roughness and natural frequency in turning of AISI1045 steel. Machining experiments were carried out at the lathe using carbide cutting insert coated with TiC and two forms of cutting tools made of AISI 5140 steel. Three levels for spindle speed, depth of cut, feed rate and tool overhang were chosen as cutting variables. The Taguchi method L₉ orthogonal array was applied to design of experiment. By the help of signal-to-noise ratio and analysis of variance, it was concluded that spindle speed has the significant effect on the surface roughness, while tool overhang is the dominant factor affecting natural frequency for both cutting tools. In addition, the optimum cutting conditions for surface roughness and natural frequency were found at different levels. Finally, confirmation experiments were conducted to verify the effectiveness and efficiency of the Taguchi method in optimizing the cutting parameters for surface roughness and natural frequency.

Keywords

Surface Roughness; Cutting Condition; Natural Frequency; Vibration; Turning; ANOVA; Taguchi Method; S/N Ratio

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	C. Thomas, M. Katsuhiro, O. Toshiyuki and Y. Yasuo, “Metal Cutting,” Great Britain, 2000.
[2]	J. Serge, “Metal Cutting Mechanics and Material Behavior,” Technischeuniversitiet Eindhoven, 1999.
[3]	K. K. Rama and J. Srinivas, “Study of Tool Dynamics with a Discrete Model of Workpiece in Orthogonal Turning,” International Journal of Machining and Machinability of Materials, Vol. 10, No. 1-2, 2011, pp. 71-85.
[4]	A. A. Tareq, “Extending the Technological Capability of Turning Operation,” International Journal of Engineering, Science and Technology, Vol. 2, No. 1, 2009, pp. 192-201.
[5]	K. A. Samir Mahammod Hassan and G. Amro, “Investigation into the Turning Parameters Effect on the Surface Roughness of Flame Hardened Medium Carbon Steel with TiN-Al2O3-TiCN Coated Inserts Based on Taguchi Technique,” World Academy of Science, Engineering and Technology, Vol. 59, 2011, pp. 2137-2141.
[6]	M. Dogra, V. S. Sharma and J. Dureja, “Effect of Tool Geometry Variation on Finish Turning—A Review,” Jour-nal of Engineering Science and Technology Review, Vol. 4, No. 1, 2011, pp. 1-13.
[7]	L. V. Martinez, J. C. Jauregui-Correa and E. Rubio-Cerda, “Analysis of Compliance between the Cutting Tool and the Workpiece on the Stability of a Turning Process,” International Journal of Machine Tools and Manufacture, Vol. 48, No. 9, 2008, pp. 1054-1062. http://dx.doi.org/10.1016/j.ijmachtools.2007.10.016
[8]	K. Yusuke, M. S. Doruk, A. Yusuf, S. Norikzau and S. Eiji, “Chatter Stability in Turning and Milling with In Process Identified Process Damping,” Journal of Advanced Mechanical Design, Systems and Manufacturing, Vol. 4, No. 6, 2010, pp. 1107-1118. http://dx.doi.org/10.1299/jamdsm.4.1107
[9]	K. Ramesh and T. Alwarsamy, “Investigation of Modal Analysis in the Stability of Boring Tool Using Double Impact Dampers Model Development,” European Journal of Scientific Research, Vol. 80, No. 2, 2012, pp. 182-190.
[10]	R. Mahdavinejad, “Finite Element Analysis of Machine and Workpiece Instability in Turning,” International Journal of Machine Tools and Manufacture, Vol. 45, No. 7-8, 2005, pp. 753-760. http://dx.doi.org/10.1016/j.ijmachtools.2004.11.017
[11]	S. Kanase and V. Jadhav, “Enhancement of Surface Finish of Boring Operation Using Passive Damper,” Indian Journal of Applied Research, Vol. 2, No. 3, 2012, pp. 68-70.
[12]	S. S. Abuthakeer, P. V. Mohanram and G. Mohan Kumar, “Prediction and Control of Cutting Tool Vibration Cnc Lathe with Anova and Ann,” International Journal of Lean Thinking, Vol. 2, No. 1, 2011, pp. 1-23.
[13]	L. N. Devin and A. A. Osaghchii, “Improving Performance of cBN Cutting Tools by Increasing their Damping Properties,” Journal of Superhard Materials, Vol. 34, No. 5, 2012, pp. 326-335. http://dx.doi.org/10.3103/S1063457612050073
[14]	M. Sortino, G. Totis and F. Prosperi, “Development of a Practical Model for Selection of Stable Tooling System Configurations in Internal Turning,” International Journal of Machine Tools & Manufacture, Vol. 61, 2012, pp. 58-70. http://dx.doi.org/10.1016/j.ijmachtools.2012.05.010
[15]	J. Kopac, A. Stoic and M. Lucic, “Experimental Investigation of Dynamic Instability of the Turning Process,” Computational Materials Science and Surface Engineering, Vol. 1, No. 2, 2009, pp. 84-91.
[16]	G. Mustafa and Y. Emre, “Application of Taguchi Method for Determining Optimum Surface Roughness in Turning of High-Alloy White Cast Iron,” Measurement, Vol. 46, No. 2, 2013, pp. 913-919. http://dx.doi.org/10.1016/j.measurement.2012.10.013
[17]	R. Suresh, S. Basavarajappa, V. N. Gaitonde and G. L. Samuel, “Machinability Investigations on Hardened AISI 4340 Steel Using Coated Carbide Insert,” International Journal of Refractory Metals and Hard Materials, Vol. 33, 2012, pp. 75-86. http://dx.doi.org/10.1016/j.ijrmhm.2012.02.019
[18]	D. S. Philip and P. Chandramohan, “Optimization of Surface Roughness of AISI 304 Austenitic Stainless Steel in Dry Turning Operation using Taguchi Design Method,” Journal of Engineering Science and Technology, Vol. 5, No. 3, 2010, pp. 293-301.
[19]	M. Ali Riza, “The Optimization of Machining Parameters Using the Taguchi Method for Surface Roughness of AISI 8660 Hardened Alloy Steel,” Journal of Mechanical Engineering, Vol. 56, No. 6, 2010, pp. 391-401.
[20]	A. Bhattacharya, S. Das, P. Majumder and A. Batish, “Estimating the Effect of Cutting Parameters on Surface Finish and Power Consumption during High Speed Machining of AISI 1045 Steel Using Taguchi Design and ANOVA,” Journal of Research and Development, Vol. 3, 2009, pp. 31-40.
[21]	S. Dilbag and P. R. Venkateswara, “A Surface Roughness Prediction Model for Hard Turning Process,” International Journal of Advanced Manufacturing Technology, Vol. 32, No. 11-12, 2007, pp. 1115-1124. http://dx.doi.org/10.1007/s00170-006-0429-2
[22]	V. Marinkovic and M. Madic, “Optimization of Surface Roughness in Turning Alloy Steel by using Taguchi Method,” Scientific Research and Essays, Vol. 6, No. 16, 2011, pp. 3474-3484.
[23]	P. J. Ross, “Taguchi Techniques for Quality Engineering,” McGraw-Hill International Book Company, Columbus, 1996.