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Optimization of Process Parameters for Cutting Force for Aluminium 7010 in CNC End Milling Process
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In this paper CNC end milling process have been optimized in cutting force and surface roughness based on the three process parameters (i.e.) speed, feed rate and depth of cut. Since the end milling process is used for abrading the wear caused is very high, in order to reduce the wear caused by high cutting force and to decrease the surface roughness, the optimization is much needed for this process. Especially for materials like aluminium 7010, this kind of study is important for further improvement in machining process and also it will improve the stability of the machine.
Keywords
End Milling Process, Cutting Force, Surface Roughness, RSM.
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- S.S. Sadham, N. Rakesh, N. Nisaantha kumar and V. Krishnaraj. 2015. Study on cutting forces and tool wear during end milling of Ti-6Al-4v alloy, Int. J. Mech. and Production Engg., 3(9), 75-80.
- H.R. Gye, B.U. Song, Y.S. Lim, Y.W. Shin, S.H. Jang, and T.I. Seo. 2013. Prediction of cutting force and tool deflection, in micro flat end milling, Int. J. Materials, Mechanics and Mfg., (1), 13-16. https://doi.org/10.7763/IJMMM.2013.V1.3.
- W.H. Lai. 2000. Modeling of cutting forces in end milling operations, Tamkang J. Sci. & Engg., 3(1), 15-22.
- C. Liu, G. Wang, M.S. Dargusch and S. Matthew. 2014. Mechanics and dynamics of helical milling operations, J. Mech. Engg., 60(11), 716-724. https://doi.org/10.5545/sv-jme.2013.1588.
- P. Maurya, P. Sharma and B. Diwaker. 2012. Implementation of Taguchi methodology to optimization of CNC end milling process parameters of AL6351 - T6, Int. J. Modern Engg. Research, 2(5), 3530-3533.
- A.M. Khorasani, M.R.S. Yazdi and M.S. Safizadeh. 2011. Tool life prediction in face milling machining of 7075 Al by using artificial neural networks (ANN) and Taguchi design of experiment (DOE), Int. J. Engg. and Tech., 3(1), 30-35. https://doi.org/10.7763/IJET.2011.V3.196.
- M. Nurhaniza, M.K.A.M. Ariffin, F. Mustapha, and B.T.H.T. Baharudin. 2016. Analyzing the effect of machining parameters setting to the surface roughness during end milling of CFRP-Aluminium composite laminates, Int. J. Manuf. Engg., 4680380. https://doi.org/10.1155/2016/4680380.
- S. Moshat, S. Datta, A. Bandyopadhyay and P.K. Pal. Optimization of CNC end milling process parameters using PCA-based Taguchi method, Int. J. Engg, Sci. and Tech., 2(1), 95-102.
- W.M. Ponnala and K.L.N. Murthy. 2012. Modeling and optimization of end milling machining process, Int. J. Research Engg. and Tech., 1(3), 430-447. https://doi.org/10.15623/ijret.2012.0103041.
- P. Norman, M. Rantatalo and I. Svenningsson. 2006. Monitoring of the machining process for aluminium and steel, Proc. 10th Int. Research / Expert Conf. Trends in the Dev. of Machinery and Associated Tech., Spain.
- S.T. Warghat, N.S. More and T.R. Deshmukh. 2015. Experimental investigation & analysis of machining parameters of CNC end milling operation, An overview, Proc. National Conf. Emerging Research Trends in Engg. and Tech., 36-40.
- N.V. Dhandapani, V.S. Thangarasu, and G. Sureshkannan. 2015. Investigation on effect of material hardness in high speed CNC end milling process, Scientific World J., 762604. https://doi.org/10.1155/2015/762604.
- K. Sivakumar and B. Sreenivasulu. 2015. Optimization and process parameters of CNC end milling for Aluminum alloy 6082, Int. J. Innovations in Engg. Research and Tech., 2(1), 1-6.
- D.P. Dhiman and R. Singh. 2016. Optimization of CNC end milling process parameter of aluminum lm-24 by using Taguchi technique, Int. J. Latest Trends in Engg. and Tech., 6(4), 501-507.
- V.D. Patil and S.T. Bagde. 2015. A review on multi objective optimization of CNC end milling parameters for machining aluminium alloy (Al2024-T4) by using expert system, Int. J. Recent and Innovation Trends in Computing and Communication, 3(2), 60-63.
- D.H. Patel and V.N. Patni. 2014. An investigation effect of machining parameters on CNC router, Int. J. Engg. Development and Research, 2(2), 1583-1587.
- A. Salankar and M.T. Shete. 2017. Optimization of process parameters of face milling on aluminium-bronze and Inconel 625 by Taguchi method, Int. Research J. Engg. and Tech., 4(5), 1259-1265.
- M. Patel. 2015. Optimization of milling process parameters - A review, Int. J. Advanced Research, Engg. and Applied Scis., 4(9), 24-37.
- K.S. Rao, N. Sravani, N.V.A. Prasad, M. Sindhuja and D. Lohith. 2015. Precession of surface roughness by CNC end milling, Int. Research J. Engg. and Tech., 2(3), 1089-1096.
- M.H.F. Al Hazza and E.Y.T. Adesta. 2013. Investigation of the effect of cutting speed on the surface roughness parameters in CNC end milling using artificial neural network, IOP Conf. Series Materials Sci. and Engg., 53(1), 012089.
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