Skip to main content
Log in

Modeling and optimization of kerf taper and surface roughness in laser cutting of titanium alloy sheet

  • Published:
Journal of Mechanical Science and Technology Aims and scope Submit manuscript

Abstract

Laser cutting of titanium and its alloys is difficult due to it’s poor thermal conductivity and chemical reactivity at elevated temperatures. But demand of these materials in different advanced industries such as aircraft, automobile and space research, require accurate geometry with high surface quality. The present research investigates the laser cutting process behavior of titanium alloy sheet (Ti-6Al-4V) with the aim to improve geometrical accuracy and surface quality by minimizing the kerf taper and surface roughness. The data obtained from L27 orthogonal array experiments have been used for developing neural network (NN) based models of kerf taper and surface roughness. A hybrid approach of neural network and genetic algorithm has been proposed and applied for the optimization of different quality characteristics. The optimization results show considerable improvements in both the quality characteristics. The results predicted by NN models are well in agreement with the experimental data.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. A. Patnaik, N. Poondla, U. Baithini and T. S. Srivastan, On the use of gas metal arc welding for manufacturing beams of commercially pure titanium and a titanium alloy, Materials and Manufacturing Processes, 26(2) (2011) 311–318.

    Article  Google Scholar 

  2. S. K. Ghosh and S. Chatterjee, On the direct diffusion bonding of titanium alloy to stainless steel, Materials and Manufacturing processes, 25(11) (2010) 1317–1323.

    Article  Google Scholar 

  3. D. A. Dornfeld, J. S. Kim, H. Dechow, J. Hewson and L. J. Chen, Drilling burr formation in titanium alloy, Ti-6Al-4V, Annals of CIRP, 48(1) (1999) 73–76.

    Article  Google Scholar 

  4. E. K. Asibu Jr., Principles of laser materials processing, John Wiley & Sons, Inc., Hoboken, New Jersey (2009).

    Book  Google Scholar 

  5. A. K. Dubey and V. Yadava, Laser beam machining-A review, International Journal of Machine Tools & Manufacture, 48(6) (2008) 609–628.

    Article  Google Scholar 

  6. A. K. Dubey and V. Yadava, Experimental study of Nd:YAG laser beam machining-An overview, Journal of Materials Processing Technology, 195(1–3) (2008) 15–26.

    Article  Google Scholar 

  7. B. S. Yilbas, J. Nickel and A. Coban, Effect of oxygen in laser cutting process, Materials and Manufacturing Processes, 12(6) (1997) 1163–1175.

    Article  Google Scholar 

  8. S. Z. Shuja, B. S. Yilbas and O. Momin, Laser repetitive pulse heating and melt pool formation at the surface, Journal of Mechanical Science and Technology, 25(2) (2011) 479–487.

    Article  Google Scholar 

  9. R. M. Miranda and L. Quintino, CO2 laser cutting of calcareous stones, Materials and Manufacturing Processes, 19(6) (2004) 1133–1142.

    Article  Google Scholar 

  10. B. S. Yilbas, S. S. Akhtar and C. Karatas, Laser straight cutting of zirconia tiles, Journal of Mechanical Science and Technology, 26(2) (2012) 591–599.

    Article  Google Scholar 

  11. B. S. Yilbas, A. Z. Sahin, C. Chatwin and T. Ayar, Laser cutting of Kevlar laminates: First and second law analysis, Journal of Mechanical Science and Technology, 25(4) (2011) 855–862.

    Article  Google Scholar 

  12. J. D. Kim, S. J. Lee and J. Suh, Characteristics of laser assisted machining for silicon nitride ceramic according to machining parameters, Journal of Mechanical Science and Technology, 25(4) (2011) 995–1001.

    Article  Google Scholar 

  13. L. Shanjin and W. Yang, An investigation of pulsed laser cutting of titanium alloy sheet, Optics and Lasers in Engineering, 44(10) (2006) 1067–1077.

    Article  Google Scholar 

  14. B. T. Rao, R. Kaul, P. Tiwari and A. K. Nath, Inert gas cutting of titanium sheet with pulsed mode CO2 laser, Optics and Lasers in Engineering, 43(12) (2005) 1330–1348.

    Article  Google Scholar 

  15. I. A. Almeida, W. D. Rossi, M. S. F. Lima, J. R. Berretta, G. E. C. Ngueira, N. U. Wetter and N. D. Vieira Jr., Optimization of titanium cutting by factorial analysis of pulsed Nd:YAG laser parameters, Journal of Materials Processing Technology, 179(1–3) (2006) 105–110.

    Article  Google Scholar 

  16. J. Ciurana, G. Arias and T. Ozel, Neural network modeling and particle swarm optimization (PSO) of process parameters in pulsed laser micromachining of hardened AISI H13 Steel, Materials and Manufacturing Processes, 24(3) (2009) 358–368.

    Article  Google Scholar 

  17. O. B. Nakhjavani and M. Ghoreishi, Multi criteria optimization of laser percussion drilling process using artificial neural network model combined with genetic algorithm, Materials and Manufacturing Processes, 21(1) (2006) 11–18.

    Article  Google Scholar 

  18. B. F. Yousef, G. K. Knopf, E. V. Bordatchev and S. K. Nikumb, Neural network modeling and analysis of the material removal process during laser machining, International Journal of Advanced Manufacturing Technology, 22(1–2) (2003) 41–53.

    Article  Google Scholar 

  19. C. Z. Syn, M. M. Mokhtar, C. J. Feng and Y. P. Manurang, Approach to prediction of laser cutting quality by employing fuzzy expert system, Expert Systems with applications, 38(6) (2011) 7558–7568.

    Article  Google Scholar 

  20. C. Jimin, Y. Jianhua, Z. Shuai, Z. Tiechuan and G. Dixin, Parametric optimization of non vertical laser cutting, International Journal of Advanced Manufacturing Technology, 33(2) (2007) 469–473.

    Article  Google Scholar 

  21. M. S. Phadke, Quality engineering using robust design, Prentice-Hall, Englewood Cliffs, New Jersey (USA) (1989).

    Google Scholar 

  22. P. J. Ross, Taguchi techniques for quality engineering, Tata McGraw-Hill Publishing Company Limited, New Delhi (India) (1996).

    Google Scholar 

  23. S. Haykin, Neural networks, a comprehensive foundation, Pearson Education Pte. Limited, Delhi (India) (2002).

    Google Scholar 

  24. S. K. Dhara, A. S. Kaur and S. Mitra, An artificial neural network approach on parametric optimization of laser micromachining of die-steel, International Journal of Advanced Manufacturing Technology, 39(1–2) (2008) 39–46.

    Article  Google Scholar 

  25. W. Paszkowicz, Genetic algorithms, a nature-inspired tool: Survey of applications in materials science and related fields, Materials and Manufacturing Processes, 24(2) (2009) 179–197.

    Article  Google Scholar 

  26. K. Dev, Optimization for engineering design (Algorithms and examples), PHI Learning, New Delhi, India (2009).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Avanish Kumar Dubey.

Additional information

Recommended by Associate Editor Young Whan Park

Arun Kumar Pandey has received his M. Tech degree in production from M.I.T.S. Gwalior (RGTU University Bhopal) Madhya Pradesh, India and is now research scholar at M.N.N.I.T. Allahabad, (Uttar Pradesh), India. He has published many papers at reputed International journals and conferences. His area of interest is Laser Material processing, Nonconventional machining and applications of Artificial Intelligence and Design of Experiment techniques in various advanced machining processes. He is reviewer of various reputed international journals and also, life time member of ISTE.

Avanish Kumar Dubey has completed B.E. (Production & Industrial Engineering), M.Tech. (CAD/ CAM) and Ph.D. (Mechanical) from MNNIT Allahabad (Uttar Pradesh), India. He has published many papers in various refereed International & National journals and conferences. He is now working as Associate Professor in Mechanical Engineering Department, MNNIT Allahabad (Uttar Pradesh), India. He is life time member of Institution of Engineers (India). His area of interest is Laser Material processing, Nonconventional machining processes, Design of experiment applications in manufacturing processes and applications of Artificial Intelligence in advanced machining processes. He is a member of editorial boards of some refereed international journals and also reviewer of many refereed international journals of repute.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pandey, A.K., Dubey, A.K. Modeling and optimization of kerf taper and surface roughness in laser cutting of titanium alloy sheet. J Mech Sci Technol 27, 2115–2124 (2013). https://doi.org/10.1007/s12206-013-0527-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12206-013-0527-7

Keywords

Navigation