To Estimate The Range Of Process Parameters For Optimization Of Surface Roughness & Material Removal Rate In CNC Milling

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-10
Year of Publication : 2013
Authors : Mandeep Chahal , Vikram Singh , Rohit Garg , Sudhir Kumar

MLA 

Mandeep Chahal , Vikram Singh , Rohit Garg , Sudhir Kumar. "To Estimate The Range Of Process Parameters For Optimization Of Surface Roughness & Material Removal Rate In CNC Milling". International Journal of Engineering Trends and Technology (IJETT). V4(10):4556-4563 Oct 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.

Abstract

CNC milling has become one of the most competent, productive and flexible manufacturing methods, for complicated or sculptured surfaces. With the rising demands of modern engineering products, the control of surface texture together with high material removal rate has become more important. In this paper, the effects of various process parameters of CNC Milling like Spindle Speed (N), table feed rate (FR), depth of cut (DOC), step over (SO) and coolant pressure (CP) have been investigated to reveal their impact on surface roughness and material removal rate of hot die steel (H-11) using one variable at a time approach(OFAT). The experimental studies were performed on SURYA VF30 CNC VS machine. The processing of the job has been done by solid carbide four flute end-mill tools under finishing conditions. Prediction of surface roughness is very difficult using mathematical equations. The surface roughness (SR) increases with increase of table feed rate (FR), depth of cut (DOC), step over(SO) and decreases with increase in spindle speed(N) and coolant pressure(CP) & the material removal rate (MRR) directly increases with increase in spindle speed (N), table feed rate (FR) , depth of cut (DOC) and step over(SO).

References

[1] Zhang.J.Z., Chen.J.C.,Kirby.E.D.,2007. “Surface Roughness optimization in an end milling operation using Taguchi Design Method”, Journal of Material Processing Technology 184, Pp. 233–239.
[2] Hanna.M.M., Buck.A., Smith.R., 1996. “Fuzzy Petri Nets With Neural Networks To Model Products Quality From A CNC-Milling Machining Centre” IEEE, Volume 26, Number 5-9.
[3] Lou.M.S., Chen.J.C. , Caleb.M., 1999. “Surface Roughness Prediction Technique for CNC End-Milling”, Journal of Industrial Technology, Volume 15, Number 1-6.
[4] Yang.J.L.,Chen.J.C., 2001. “A Systematic Approach For Identifying Optimum Surface Roughness Performance In End-Milling Operations” Journal Of Industrial Technology, Volume 17, Number 2-5.
[5] Benardos., Vosniakos., 2002. “Prediction of Surface Roughness in CNC Face Milling Using Neural Networks and Taguchi’s Design of Experiments”, Robotics And Computer-Integrated Manufacturing, 18(5-6), 343-354.
[6] Warner J.C.,Connor J.O. 2004. “Molding Process Is Improved By Using The Taguchi Method”, Modern Plastics, 65-68.
[7] Liu.X., Cheng.K., 2005. “Modeling The Machining Dynamics Of Peripheral Milling” ,International Journal Of Machine Tools & Manufacture 45, 1301–1320.
[8] Oktem.H., Kurtaran.H., 2005. “Application of response surface methodology in the optimization of cutting conditions for surface roughness”, Journal of Material Processing Technology 170, Pp. 11–16.
[9] Singh.H., Kumar.P., 2006. “Optimizing Feed Force For Turned Parts Through The Taguchi Technique”, Journal of Material Processing Technology Vol. 31, Part 6, Pp. 671–681.
[10] Kadirgama.K, Hamdi.M, Benyounis.K.Y, 2006. “Prediction of cutting force in end-milling operation of modified AISI P20 tool steel”, Journal of Material Processing Technology 182, Pp. 241–247.
[11] Zhang.J., Chen.J., 2006. “Surface Roughness optimization in an end milling operation using Taguchi design method”, Journal of Material Processing Technology 184, Pp. 233–239.
[12] Kromanis.A., Krizbergs., 2008. “3d Surface Roughness Prediction Technique In End Milling Using Regression Analysis”, Tallinn, Estonia Industrial Engineering.
[13] Lu.H.S., Chen.J.Y., Chung.C.T., 2008.” The Optimal Cutting Parameter Design Of Rough Cutting Process In Side Milling”, Volume 29 Issue 2.
[14] Abellan.J.V., Romero.F.,Siller.H.R., 2009.” Adaptive Control Optimization Of Cutting Parameters For High Quality Machining Operations Based On Neural Networks And Search Algorithms”, ISBN 78-953-7619-16-9, Pp. 472, I-Tech, Vienna, Austria.
[15] Moshat.S., Datta.S,Pal.P.K., 2010. “Optimization of CNC end milling process parameters using PCA based Taguchi method “International Journal of Engineering, Science & Technology , Volume 2, Number 1,92-102.
[16] Jin.X., Altintas.Y., 2011. “Prediction of micro milling forces with finite element method“International Journal of Material Processing Technology-13149.

Keywords
CNC Milling; OFAT; Step Over; Coolant Pressure; Surface Roughness; Material Removal Rate