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2020, vol. 48, iss. 2, pp. 383-390
Investigation and optimization of machining parameters influence on surface roughness in turning AISI 4340 steel
aJyothi Engineering College, Department of Mechanical Engineering, Thrisur, Kerala, India
bS.A Engineering College, Department of Mechanical Engineering, Chennai, Tamil Nadu, India
cAdhiparasakthi Engineering College, Department of Mechanical Engineering, Melmaruvathur, Tamil Nadu, India
dManakula Vinayagar Institute of Technology, Department of Mechanical Engineering, Kalitheerthalkuppam, Puducherry, India
Keywords: machining parameter; surface roughness; Taguchi's technique; ANOVA
This paper focuses on the experimental investigation of machining parameters such as cutting speed, feed rate and depth of cut influence over surface roughness parameters (Ra, Ry and Rt) during turning AISI 4340 steel. Further, in order to achieve smaller surface roughness parameter values, the machining parameters are optimized using Taguchi's technique Signal-to-Noise ratio (S/N ratio). Analysis of Variance (ANOVA) is performed to determine the most contributing factor that influences the surface roughness parameters. It is observed that the feed rate is the most significant factor contributing by 70.50%, depth of cut by 18.54% and cutting speed by 9.15%. From the optimum condition obtained, a confirmation experiment is performed and the results obtained shows that the surface roughness parameter values are reduced by 31.63% than the designed experimental values.
Akhyar, G., Haron, C.H.C., Ghani, J.A. (2008) Application of Taguchi Method in the optimization of turning parameters for surface roughness. International Journal of Science Engineering and Technology, 1(3): 60-66
Aruna, M., Dhanalaksmi, V. (2012) Design optimization of cutting parameters when turning Inconel 718 with cermet inserts. World Academy of Science, Engineering and Technology, 61: 952-955
Asiltürk, İ., Neşeli, S. (2012) Multi response optimisation of CNC turning parameters via Taguchi method-based response surface analysis. Measurement, 45(4): 785-794
Asiltürk, İ., Akkuş, H. (2011) Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method. Measurement, 44: 1697-1704
Astakhov, V.P. (2011) Machining of hard materials: Definitions and industrial applications. in: Davim J.P. [ed.] Machining of hard materials, London-Dordrecht-Heidelberg-New York: Springer, pp. 1-32
Benardos, P.G., Vosniakos, G.-C. (2003) Predicting surface roughness in machining: A review. International Journal of Machine Tools and Manufacture, 43(8): 833-844
Bhushan, R.K., Kumar, S., Das, S. (2010) Effect of machining parameters on surface roughness and tool wear for 7075 Al alloy SiC composite. International Journal of Advanced Manufacturing Technology, 50(5-8): 459-469
Black, J.T., Kohser, R.A. (2008) DeGarmo's materials and processes in manufacturing. USA: John Wiley & Sons
Cakir, M. C., Ensarioglu, C., Demirayak, I. (2009) Mathematical modeling of surface roughness for evaluating the effects of cutting parameters and coating material. Journal of Materials Processing Technology, 209(1): 102-109
Chavoshi, S.Z., Tajdari, M. (2010) Surface roughness modelling in hard turning operation of AISI 4140 using CBN cutting tool. International Journal of Material Forming, 3(4): 233-239
Dixit, P.M., Dixit, U.S. (2008) Modeling of metal forming and machining processes by finite element and soft computing methods. London: Springer-Verlag
Elango, M., Annamalai, K. (2020) Machining parameter optimization of Al/SiC/Gr hybrid metal matrix composites using ANOVA and Grey relational analysis. FME Transactions, 48: 173-179
Gajalakshmi, K., Senthilkumar, N., Prabu, B. (2019) Multi-response optimization of dry sliding wear parameters of AA6026 using hybrid gray relational analysis coupled with response surface method. Measurement and Control, 52(5-6): 540-553
Gamst, G., Meyers, L.S., Guarino, A.J. (2008) Analysis of variance designs: A conceptual and computational approach with SPSS and SAS. Cambridge: Cambridge University Press
Groover, M.P. (2010) Fundamentals of modern manufacturing: Materials, processes and systems. Hoboken, NJ: John Wiley & Sons
Kalpakjian, S., et al. (2001) Manufacturing engineering and technology. New York: Prentice Hall
Kharwar, P.K., Verma, R.K. (2019) Grey embedded in artificial neural network (ANN) based on hybrid optimization approach in machining of GFRP epoxy composites. FME Transactions, vol. 47, br. 3, str. 641-648
Kopač, J., Bahor, M., Soković, M. (2002) Optimal machining parameters for achieving the desired surface roughness in fine turning of cold pre-formed steel workpieces. International Journal of Machine Tools and Manufacture, 42(6): 707-716
Mahdavinejad, R.A., Bidgoli, H.S. (2009) Optimization of surface roughness parameters in dry turning. Journal of Achievements in Materials and Manufacturing Engineering, 37(2): 571-577
Marichamy, S., Ravichandran, M., Stalin, B., Babu, S.B. (2019) Optimization of abrasive water jet machining parameters for α-β brass using Taguchi methodology. FME Transactions, vol. 47, br. 1, str. 116-121
Monica, V., Kakshmikanth, G., Lathicashree, S., Senthilkumar, N., Muniappan, A., Deepanraj, B. (2019) An experimental analysis and optimization of heat treatment parameters of Al6061 alloy for improved mechanical properties. International Journal of Mechanical and Production Engineering Research and Development, Vol. 9 (Special Issue), pp. 46-59
Montgomery, D.C. (2001) Design and analysis of experiments. USA: John Wiley & Sons
Nalbant, M., Gökkaya, H., Sur, G. (2007) Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Materials & Design, 28(4): 1379-1385
Palanikumar, K., Karthikeyan, R. (2007) Assessment of factors influencing surface roughness on the machining of Al/SiC particulate composites. Materials & Design, 28(5): 1584-1591
Ramesh, M., Elvin, R.P., Palanikumar, K., Reddy, H. (2011) Surface roughness optimization of machining parameters in machining of composite materials. International Journal of Applied Research in Mechanical Engineering, 1(1): 26-32
Ramesh, S., Karunamoorthy, L., Palanikumar, K. (2012) Measurement and analysis of surface roughness in turning of aerospace titanium alloy (gr5). Measurement, 45(5): 1266-1276
Ross, P.J. (2005) Taguchi techniques for quality engineering. New Delhi: Tata McGraw Hill publishing company Ltd
Roy, R.K. (2001) Design of experiments using the Taguchi approach: 16 steps to product and process improvement. New York: John Wiley & Sons
Sahin, Y., Motorcu, A. R. (2005) Surface roughness model for machining mild steel with coated carbide tool. Materials & Design, 26(4): 321-326
Saini, S., Ahuja, I.S., Sharma, V.S. (2012) Influence of cutting parameters on tool wear and surface roughness in hard turning of AISI H11 tool steel using ceramic tools. International Journal of Precision Engineering and Manufacturing, 13(8): 1295-1302
Selvakumar, V., Muruganandam, S., Tamizharasan, T., Senthilkumar, N. (2016) Machinability evaluation of Al-4%Cu-7.5%SiC metal matrix composite by Taguchi-Grey relational analysis and NSGA-II. Sādhanā, 41(10): 1219-1234
Senthilkumar, N., Selvakumar, V., Tamizharasan, T. (2016) Optimization and performance analysis of uncoated and coated carbide inserts during hard turning AISI D2 steel using hybrid GRA-PCA technique. Applied Mechanics and Materials, Vol. 852, pp 151-159
Senthilkumar, N., Tamizharasan, T. (2015) Flank wear and surface roughness prediction in hard turning via artificial neural network and multiple regressions. Australian Journal of Mechanical Engineering, 13(1): 31-45
Senthilkumar, N., Tamizharasan, T. (2014) Experimental investigation of cutting zone temperature and flank wear correlation in turning AISI 1045 steel with different tool geometries. Indian Journal of Engineering & Materials Sciences, 21(2): 139-148
Senthilkumar, N., Tamizharasan, T. (2012) Impact of interface temperature over flank wear in hard turning using carbide inserts. Procedia Engineering, 38: 613-621
Senthilkumar, N., Ganapathy, T., Tamizharasan, T. (2014) Optimisation of machining and geometrical parameters in turning process using Taguchi method. Australian Journal of Mechanical Engineering, 12(2): 233-246
Senthilkumar, N., Tamizharasan, T., Anandakrishnan, V. (2014) Experimental investigation and performance analysis of cemented carbide inserts of different geometries using Taguchi based grey relational analysis. Measurement, 58: 520-536
Senthilkumar, N., Sudha, J., Muthukumar, V. (2015) A grey-fuzzy approach for optimizing machining parameters and the approach angle in turning AISI 1045 steel. Advances in Production Engineering & Management, 10(4): 195-208
Senthilkumar, N., Tamizharasan, T. (2014) Effect of tool geometry in turning AISI 1045 steel: Experimental investigation and FEM analysis. Arabian Journal for Science and Engineering, 39(6): 4963-4975
Singh, D., Rao, P. V. (2007) A surface roughness prediction model for hard turning process. International Journal of Advanced Manufacturing Technology, 32(11-12): 1115-1124
Suhail, A.H., et al. (2012) Surface roughness identification using the grey relational analysis with multiple performance characteristics in turning operations. Arabian Journal for Science and Engineering, Vol. 37, No. 4, pp.1111-1117
Tamizharasan, T., Senthilkumar, N. (2012) Analysis of surface roughness and material removal rate in turning using Taguchi's technique. in: Proceedings of IEEE International Conference on Advances in Engineering, Science and Management, Nagapattinam, India, 2012, pp. 231-236
Thirumalvalavan, S., Senthilkumar, N. (2019) Experimental investigation and optimization of HVOF spray parameters on wear resistance behaviour of Ti-6Al-4V alloy. Comptes rendus de l'Academie bulgare des Sciences, 72(5): 665-674
Verma, J., Agrawal, P., Bajpai, L. (2012) Turning parameter optimization for surface roughness of ASTM A242 type-1 alloys steel by Taguchi Method. International Journal of Advances in Engineering & Technology, 3(1): 255-261
Walsh, R.A. (2001) Handbook of machining and metalworking calculations. USA: McGraw-Hill


article language: English
document type: unclassified
DOI: 10.5937/fme2002383B
published in SCIndeks: 04/05/2020
Creative Commons License 4.0

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