Analysis of Roughness and Waviness Motifs in Turning of Mild Steel Using Carbide Inserts

Authors

  • Yashwant Koli  Department of Mechanical Engineering, Delhi Technological University, Delhi, India
  • Ankit Tyagi  Department of Mechanical Engineering, Delhi Technological University, Delhi, India
  • Vipin   Department of Mechanical Engineering, Delhi Technological University, Delhi, India

Keywords:

Mild steel, Turning, MOTIFs, Waviness and Roughness

Abstract

Surface roughness (SR) and waviness is influenced by the machining, cutting parameters. The MOTIF- method is a structure for the assessment of the key profile and established on the envelope system and is appropriate as a substitute to the mean line system. The MOTIF-method determines the upper points of the surface profile, which have significance for the functional behavior. Roughness and waviness can be evaluated directly based on the diagram of the unfiltered profile. The key objective is to analyze the effect of cutting speed, feed and depth of cut on the mild steel to know about the roughness and waviness in turning operation using carbide tool. Full factorial 27 tests are done to scrutinize the cutting features of mild steel bars. The specimen was turned under different levels of process parameters and values of R, Rx and Ar were analyzed. Results illustrate that the feed rate is the major factor.

References

  1. V. Upadhyay, P. K. Jain, and N. K. Mehta, "In-process prediction of surface roughness in turning of Ti - 6Al - 4V alloy using cutting parameters and vibration signals," Measurement, vol. 46, no. 1, pp. 154-160, 2013.
  2. T. Ozel, Y. Karpat, "Predictive modeling of surface roughness and tool wear in hard turning using regression and neural networks," International Journal of Machine Tools & Manufacture, vol. 45, pp. 467-479, 2005.
  3. J. Davim, V. N. Gaitonde, and S. R. Karnik, "Investigations into the effect of cutting conditions on surface roughness in turning of free machining steel by ANN models," journal of materials administering technology, vol. 5, pp. 16-23, 2007.
  4. I. A. Choudhury, M.A. EI-Baradie "Materials Surface roughness prediction in the turning of high-strength steel by factorial design of experiments," Journal of Materials Processing Technology, vol. 67, pp.55-61, 1997.
  5. W. H. Yang and Y. S. Tarng, "Design optimization of cutting parameters for turning operations based on the Taguchi method," Journal of Materials Processing Technology, vol. 84, pp. 122-129, 1998.
  6. M. Nalbant, H. Gokkaya, and G. Sur, "Materials & Design Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning," Materials and Design, vol. 28, pp. 1379-1385, 2007.
  7. IlhanAsilturk, HarunAkkus, "Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method," Measurement, vol. 44, pp. 1697-1704, 2011.
  8. H. Aouici, M. Athmane, K. Chaoui, and T. Mabrouki, "Analysis of surface roughness and cutting force components in hard turning with CBN tool?: Prediction model and cutting conditions optimization," Measurement, vol. 45, no. 3, pp. 344-353, 2012.
  9. S. Ramesh, L. Karunamoorthy, and K. Palanikumar, "Measurement and analysis of surface roughness in turning of aerospace titanium alloy ( gr5 )," Measurement, vol. 45, no. 5, pp. 1266-1276, 2012.
  10. Gunay.M, EmreYucel, "Application of Taguchi method for determining optimum surface roughness in turning of high-alloy white cast iron," Measurement, vol. 46, pp. 913-919, 2013.
  11. N. R. Abburi and U. S. Dixit, "A knowledge-based system for the prediction of surface roughness in turning process," Robotics and Computer-Integrated Manufacturing, vol. 22, pp. 363-372, 2006.
  12. J. Kopac, M. Bahor and M. Sokovic, "Optimal machining parameters for achieving the desired surface roughness in fine turning of cold pre-formed steel workpieces," International Journal of Machine Tools & Manufacture, vol. 42, pp. 707-716, 2002.
  13. P. V. S. Suresh, P. V. Rao, and S. G. Deshmukh, "A genetic algorithmic approach for optimization of surface roughness prediction model," International Journal of Machine Tools & Manufacture, vol. 42, pp. 675-680, 2002.
  14. W. S. Lin, B. Y. Lee, and C. L. Wu, "Modeling the surface roughness and cutting force for turning," Journal of Materials Processing Technology, vol. 108, no. April 1999, pp. 286-293, 2001.
  15. M. Y. Noordin, V. C. Venkatesh, S. Sharif, S. Elting, and A. Abdullah, "Application of response surface methodology in describing the performance of coated carbide tools when turning AISI 1045 steel," Journal of Materials Processing Technology, vol. 145, pp. 46-58, 2004.
  16. D. I. Lalwani, N. K. Mehta, and P. K. Jain, "Experimental investigations of cutting parameters influence on cutting forces and surface roughness in finish hard turning of MDN250 steel," journal of materials processing technology, vol. 6, pp. 167-179, 2007.
  17. J. Davim , F. Mata, "Impact of cutting constraints on roughness in turning glass-fiber- strengthened plastics using geometric analysis," Industrial Lubrication and Tribology, vol. 56, No. 5, pp. 270-274, 2004.
  18. D. Singh, P. V. Rao, " A roughness evaluation model for hard turning process," Int J AdvManufTechnol, vol. 32, pp.1115-1124, 2007.
  19. A. Hasçal, U. Çayda?, "Optimization of turning parameters for surface roughness and tool life based on the Taguchi method," Int J AdvManufTechnol, vol. 38, pp. 896-903, 2008.
  20. V. S. Sharma, S. Dhiman, and R. S. S. K. Sharma, "Estimation of cutting forces and surface roughness for hard turning using neural networks," J IntellManuf, vol. 19, pp. 473-483, 2008.
  21. H. Singh, R. Khanna, and M. P. Garg, "Effect of Cutting Parameters on MRR and Surface Roughness in Turning EN-8," Current Developments in Engineering Research, vol. 1, no. 1, pp. 100-104, 2011.
  22. M. Thomas, Y. Beauchamp, A. Y. Youssef, and J. Masounave, "EFFECT OF TOOL VIBRATIONS ON SURFACE ROUGHNESS," Computers ind.Engng, vol. 31, no. 3, pp. 637-644, 1996.
  23. Ranganath M. S., Vipin, R. S. Mishra, Prateek, "Optimization of surface roughness in CNC turning of Aluminium 6061 using Taguchi Techniqques," International Journal of Modern Engineering Research (IJMER), vol 5; pp. 1-9, 2015.
  24. Ranganath M.S., Vipin, L. Kumar, J. Kumar, "Surface Texture Analysis in Turning of Mild Steel Using Carbide Inserts," International Journal of Advance Research and Innovation, vol. 2, Issue 3, pp.601-606, 2014.

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Published

2018-02-28

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Section

Research Articles

How to Cite

[1]
Yashwant Koli, Ankit Tyagi, Vipin , " Analysis of Roughness and Waviness Motifs in Turning of Mild Steel Using Carbide Inserts, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 2, pp.764-772, January-February-2018.