Investigation of Machining Parameters for Burr Minimization in CNC Turning of Brass Using RSM and GA


Article Preview

CNC turning is one among the metal cutting process in which quality of the finished product depends mainly upon the machining parameters such as feed, speed, depth of cut, type of coolant used, types of inserts used etc. Similarly the work piece material plays an important role in metal cutting process. This study involves in indentifying the optimized parameters in CNC turning of Brass. To identify and measure the formation of burrs in the turned samples, are examined under scanning electron microscope (SEM). The optimization techniques used in this study are Response surface methodology, and Genetic algorithm. Several comparisons were made between cutting parameters with surface roughness. These optimization techniques are very helpful in indentifying the optimized control factors with high level of accuracy.



Edited by:

Bale V. Reddy, Shishir Kumar Sahu, A. Kandasamy and Manuel de La Sen




R. Ravikumar and M. M. A. Hafeez, "Investigation of Machining Parameters for Burr Minimization in CNC Turning of Brass Using RSM and GA", Applied Mechanics and Materials, Vol. 627, pp. 54-59, 2014

Online since:

September 2014




* - Corresponding Author

[1] T. Rajmohan,K. Palani kumar, M. Kathirvel: Optimization of machining parameters in drilling hybrid aluminium metal matrix composites, Science Direct Trans. Nonferrous Met. Soc. China 22(2012).


[2] B. Siddha Reddy, J. Suresh Kumar andK. VijayaKumarReddy: Optimization of surface roughness in CNC end milling using response surface methodology and genetic algorithm, International Journal of Engineering, Science and Technology Vol. 3, No. 8, (2011).


[3] Harun Akku and Dlhan Asilturk: Predicting Surface Roughness of AISI 4140 Steel in Hard Turning Process through Artificial Neural Network, Fuzzy Logic and Regression Models, Scientific Research and Essays Vol. 6(13), pp.2729-2736, 4 July, (2011).

[4] Ishan B Shah, Kishore. R. Gawande: Optimizing of Cutting Tool Life on CNC Milling Machine Through Design of Experiments- A Suitable Approach – An Overview, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249- 8958, Volume- 1, Issue-4, April (2012).

[5] Pinkey Chauhan, Kusum Deep, Millie Pant: Optimizing cnc turning process using realcoded geneticalgorithmanddifferential evolution, Transaction on Evolutionary algorithm and Continuous Optimization ISSN: 2229-8711 Online Publication, June (2011).

[6] H. Ganesan: Optimization ofmachiningparameters in turning process using genetic algorithm and particle swarm optimization with experimental verification, International Journal of Engineering Science and Technology (IJEST) Vol. 3 No. 2 (2011).

[7] Shu-tong Xie, Li-fang Pan : Selection of Machining Parameters Using Genetic Algorithms, the 5th International Conference on Computer Science & Education Hefei, China. August 24-27, (2010).

[8] Kompan Chomsamutr, Somkiat Jongprasithporn: TheCutting Parameters Design for Product Quality Improvement in Turning Operations: Optimization and Validation with Taugchi Method.


[9] Poorinma, Sukumar: Optimization of machining parameters in cncturning of martensitic stainless steel using RSM and GA, InternationalJournal of modern Engineering Research (IJMER) Vol. 2, Issue. 2, Mar-Apr (2012) pp-539-542 ISSN: 2249-6645.

[10] Raviraj Shetty, R. Pai, V. Kamath and S.S. Rao : Study on surface roughness minimization in turning of dracs using surface roughness methodology and taugchi under pressured steam jet approach arpn, Journal of Engineering and Appplied Sciences VOL. 3, NO. 1, february (2008).