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International Journal
of Computer Engineering in Research Trends (IJCERT)
Scholarly, Peer-Reviewed, Platinum Open Access and Multidisciplinary
International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed, Platinum Open Access and Multidisciplinary
ISSN(Online):2349-7084 Submit Paper Check Paper Status Conference Proposal
[1] C. Natarajan, S. Muthu and P. KaruPPuswamy, “Investigation of cutting parameters of surface roughness for a non-ferrous material using the artificial neural network in CNC turning”, Journal of Mechanical Engineering Research, ISSN 2141 – 2383 ©2011 Academic Journals, Vol. 3(1), PP. 1-14, January 2011. [2] Ilhan asilturk, Harun Akkus, “Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method”, Measurement, Elsevier Ltd, PP 1-8, 2011. [3] Jithin babu.r, a Ramesh Babu, “Correlation among the cutting parameters, surface roughness and cutting forces in turning process by experimental studies”, 5th International & 26th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2014), IIT Guwahati, Assam, India, PP 459.1-459.6, December 12th –14th , 2014. [4] Ilhan Asilturk, “On-line surface roughness recognition system by vibration monitoring in CNC turning using adaptive neuro-fuzzy inference system (ANFIS)”, International Journal of the Physical Sciences, ISSN 1992 - 1950 ©2011 Academic Journals Vol. 6(22), 2011, PP. 5353-5360, 2 October. [5] K. Adarsh Kumar, Ch. Ratnam, BSN Murthy, B. Satish Ben, K. Raghu Ram Mohan Reddy, “Optimization of surface roughness in face turning operation in machining of EN-8”, International Journal of Engineering Science & Advanced Technology, ISSN: 2250–3676, Volume-2, Issue-4, PP 807 – 812, July-Aug 2012. [6] Suleyman Neseli, Suleyman Yaldız, Erol Turkes, “Optimization of tool geometry parameters for turning operations based on the response surface methodology”, Measurement, Elsevier, 44, PP 580–587, 2011. [7] H. M. Somashekara, Dr. N. Lakshmana Swamy, “Optimizing surface roughness in turning operation using Taguchi technique and ANOVA”, International Journal of Engineering Science and Technology (IJEST), ISSN: 0975-5462, Vol. 4, No.05, PP 1967-1973, May 2012. [8] Jignesh G. Parmar, Prof. Alpesh Makwana, “Prediction of surface roughness for end milling process using Artificial Neural Network”, International Journal of Modern Engineering Research (IJMER), ISSN: 2249-6645, Vol.2, Issue.3, PP-1006-1013, May-June 2012. [9] M.F.F. Ab. Rashid and M.R. Abdul Lani, “Surface Roughness Prediction for CNC Milling Process using Artificial Neural Network”, Proceedings of the World Congress on Engineering 2010 Vol III, WCE 2010, London, U.K., PP 1-6, June 30 - July 2, 2010. [10] M. Nalbant, H. Gokkaya, G. Sur, “Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning”, Materials and Design, Elsevier, 28, PP 1379–1385, 2007. [11] G. Akhyar, C. H. Che Haron, J. A. Ghani, “Application of Taguchi method in the optimization of tuning parameters for surface roughness”, International Journal of Science Engineering and Technology, ISSN: 1985-3785, Vol. 1, No. 3, PP 60-66, 2008. [12] Dr. S. S. Mahapatra, Amar Patnaik, Prabina Ku. Patnaik, “Parametric Analysis and Optimization of Cutting Parameters for Turning Operations based on Taguchi Method”, Proceedings of the International Conference on Global Manufacturing and Innovation, PP 1-9, July 27-29, 2006.
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