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Analysis of Surface Roughness in CNC Turning Using Response Surface Methodology


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1 Department of Mechanical Engineering, Poornima College of Engineering, Jaipur, Rajasthan, India
     

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The turning process is used in many industries ranging from large engine manufactures to small die shops. The turning process using CNC lathe is widely used because of its versatility and efficiency. Surface roughness is an important factor that affects the quality in manufacturing process. The main objective of this paper is to analysis the surface roughness in CNC turning operation by various parameters such as feed rate, cutting speed, depth of cut. Response surface methodology has been used to study the effect of the main turning parameters on the surface roughness of EN 36 alloys steel. It shows that as the feed and speed increases, the surface roughness increases.

Keywords

CNC Machine, Depth of Cut, Feed Rate, RSM, Optimization, Spindle Speed, Surface Roughness.
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  • N. V. S. S. Sagar, and M. M. Mohan, “Optimization of machining parameters of En36 material using Taguchi method,” NAFEMS India Regional Conference 2015, Procedia (2015), p. 36.
  • J. Paro, H. Hanninen, and V. Kauppinen, “Tool wear and machinability of HIPed P/M and conventional cast duplex stainless steels,” Wear, Elsevier, vol. 249, no. 3-4, pp. 279-284, May 2001.
  • I. Korkut, M. Kasap, I. Ciftci, and U. Seker, “Determination of optimum cutting parameters during machining of AISI 304 austenitic stainless steel,” Materials and Design, Elsevier, vol. 25, no. 4, pp. 303-305, June 2004.
  • B. Latha, and V. S. Senthilkumar, “Modeling and analysis of surface roughness parameters in drilling GFRP composites using fuzzy logic,” Materials and Manufacturing Processes, Taylor and Francis, vol. 25 no. 8, pp. 817-827, September 2010.
  • K. Hassan, A. Kumar, and M. P. Garg, “Experimental investigation of material removal rate in CNC turning using Taguchi method,” International Journal of Engineering Research and Applications, vol. 2, no. 2, pp. 1581-1590, March-April 2012.
  • B. C. Routara, P. Sahoo, and A. Bandyopadhyay, “A Multi objective optimization of cutting parameters for surface roughness in CNC turning using RSM,” vol. 2, 15 December 2008.
  • D. I. Lalwani, N. K. Mehta, and P. K. Jain, “Effect of cutting conditions on forces in finish hard turning of MDN300 steel,” vol. 2, 15 December 2008, (23rd AIMTDR).
  • H. Hadi, L. Tajul, Z. A. Zailani, M. F. M. A. Hamzas, and M. S. Hussin “The parametric effect and optimization on JIS S45 steel turning,” International Journal of Engineering Science and Technology, vol. 3, no. 5, pp. 4479-4487, May 2011.
  • G. Mahesh, S. Muthu, and S. R. Devadasan, Experimentation and prediction of surface roughness of the machining parameter with reference to the rake angle in end mill,” International Review of Mechanical Engineering, vol. 6, no. 7, pp. 1418-1426, November 2012.
  • K. Saravanakumar, M. R. P. Kumar, A. K. S. Dawood, “Optimization of CNC turning process parameters on INCONEL 718 using genetic algorithm,” IRACST - Engineering Science and Technology: An International Journal, vol. 2, no. 4, pp. 532-537, August 2012.
  • V. N. Ch. Madhu, A. V. N. L. Sharma, and K. V. Subbiah, “Optimization of cutting parameters for surface roughness prediction using artificial neural network in CNC Turning,” IRACST - Engineering Science and Technology: An International Journal vol. 2, no. 2, pp. 207-214, April 2012.
  • J. S. Senthilkumaar, P. Selvarani, and R. M. Arunachalam, “Selection of machining parameters based on the analysis of surface roughness and flank wear in finish turning and facing of INCONEL 718 using Taguchi technique,” Emirates Journal for Engineering Research, vol. 15, no. 2, pp. 7-14, 2010.
  • H. Oktem, T. Erzurumlu, and H. Kurtaran, “Application of response surface methodology in the optimization of cutting conditions for surface roughness,” Journal of Materials Processing Technology, Elsevier, vol. 170, no. 1-2, pp. 11-16, December 2005.
  • M. A. Kuttolamadom, S. Hamzehlouia, and M. L. Mears, “Effect of machining feed on surface roughness in cutting 6061 aluminum,” SAE 2010 World Congress and Exhibition, SAE International, pp. 1-19, April 2010.

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  • Analysis of Surface Roughness in CNC Turning Using Response Surface Methodology

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Authors

Ishan Khan
Department of Mechanical Engineering, Poornima College of Engineering, Jaipur, Rajasthan, India
Hemant Kumar Gupta
Department of Mechanical Engineering, Poornima College of Engineering, Jaipur, Rajasthan, India

Abstract


The turning process is used in many industries ranging from large engine manufactures to small die shops. The turning process using CNC lathe is widely used because of its versatility and efficiency. Surface roughness is an important factor that affects the quality in manufacturing process. The main objective of this paper is to analysis the surface roughness in CNC turning operation by various parameters such as feed rate, cutting speed, depth of cut. Response surface methodology has been used to study the effect of the main turning parameters on the surface roughness of EN 36 alloys steel. It shows that as the feed and speed increases, the surface roughness increases.

Keywords


CNC Machine, Depth of Cut, Feed Rate, RSM, Optimization, Spindle Speed, Surface Roughness.

References