Abstract
This study proposes a multi-response optimization approach for the Nd: YAG laser cutting parameters of titanium superalloy sheet (Ti-6Al-4V). The Box-Behnken design was utilized to plan the experiments, and response surface methodology was employed to develop experimental models. Four input parameters, including pulse width, pulse energy, cutting speed, and gas pressure, were set during the experiment, and kerf deviation and metal removal rate were considered as the performance characteristics. Pores, dross, and striation lines were observed on the kerf wall of the laser-cut surface through scanning electron microscopy. With the suitable mathematical models established, a search optimization procedure based on the use of desirability function was used to optimize the performance characteristics. A confirmation experiment was also conducted to validate the optimized process parameters. The relative error is less than ±2 %, thus confirming the feasibility and effectiveness of the adopted approach.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
A. K. Dubey and V. Yadava, Laser beam machining-A review, International Journal of Machine Tools & Manufacture, 48 (6) (2008) 609–628.
A. Sharma, Intelligent modelling and multi-objective optimisation of laser beam cutting of nickel based superalloy sheet, International Journal of Manufacturing, Materials, and Mechanical Engineering, 3 (2) (2013) 1–16.
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.
R. R. Boyer, An overview on the use of titanium in the aerospace industry, Material Science and Engineering-A, 213 (1–2) (1996) 103–114.
D. A. Dornfeld, J. S. Kim, H. Dechow, J. Hewson and L. J. Chen, Drilling burr formation in titanium alloy Ti-6Al-4V, CIRP Annals -Manufacturing Technology, 48 (1) (1999) 73–76.
A. K. Pandey and A. K. Dubey, Fuzzy expert system for prediction of kerf qualities in pulsed laser cutting of titanium alloy sheet, Machining Science and Technology: An International Journal, 17 (4) (2013) 545–574.
G. Kibria, B. Doloi and B. Bhattacharya, Modelling and optimization of Nd:YAG laser micro-turning process during machining of aluminium oxide (Al2O3) ceramics using response surface methodology and artificial neural network, Manufacturing Review, 1 (2014) 7–14.
F. O. Olsen, Investigations in optimizing the laser cutting process, International Conference proceedings -American Society for Metals, Los Angeles (1983) 64–80.
A. Stournaras and P. Stavropoulos, An investigation of quality in CO2 laser cutting of aluminium, CIRP Journal of Manufacturing Science and Technology, 2 (1) (2009) 61–69.
K. Abdel Ghany and M. Newishy, Cutting of 1.2 mm thick austenitic stainless steel sheet using pulsed and CW Nd: YAG laser, Journal of Materials Processing Technology, 168 (3) (2005) 438–447.
I. A. Almeida and W. de Rossi, Optimisation of titanium cutting by factorial analysis of the pulsed Nd-YAG laser parameters, Journal of Materials Processing Technology, 179 (1–3) (2006) 105–110.
U. Caydas and A. Hascalik, Use of grey relational analysis to determine optimum laser cutting parameters with multi-performance characteristics, Optics and Laser Technology, 40 (7) (2008) 987–994.
B. S. Yilbas and S. Khan, Laser cutting of 7050 Al reinforced with Al2O3 and B4C composites, International Journal of Advanced Manufacturing Technology, 50 (1) (2010) 185–193.
G. Tiwari and J. K. Sarin Sundar, Influence of process parameters during pulsed Nd: YAG laser cutting of nickelbase superalloys, Journal of Materials Processing Technology, 170 (1–2) (2005) 229–239.
A. K. Pandey and A. K. Dubey, Multiple quality optimization in laser cutting of difficult-to-laser-cut material using grey-fuzzy methodology, International Journal of Advanced Manufacturing Technology, 65 (1) (2013) 421–431.
A. Sharma and V. Yadava, Optimization of cut quality characteristics during Nd:YAG straight cutting of Ni-based superalloy thin sheet using grey relational analysis with entropy measurement, Materials and Manufacturing Processes, 26 (12) (2011) 1522–1529.
A. K. Pandey and A. K. Dubey, Modeling and optimization of kerf taper and surface roughness in laser cutting of titanium alloy sheet, Journal of Mechanical Science and Technology, 27 (7) (2013) 2115–2124.
R. H. Myers and D. C. Montgomery, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, John Wiley & Sons, Inc.: New York (1995).
G. Derringer and R. Suich, Simultaneous optimization of several response variables, Journal of Quality Technology, 12 (1980) 214–219.
M. J. Donachie, Titanium-a technical guide, ASM International (1988).
A. K. Dubey and V. Yadava, Multi-objective optimization of laser beam cutting process, Optics and Laser Technology, 40 (3) (2008) 562–570.
A. Sharma and V. Yadava, Modelling and optimization of cut quality during pulsed Nd:YAG laser cutting thin Alalloy sheet for straight profile, Optics and Lasers in Engineering, 51 (2013) 77–88.
D. Kondayya and A. Gopala Krishna, An integrated evolutionary approach for modelling and optimization of laser beam cutting process, International Journal of Advanced Manufacturing Technology, 65 (1) (2013) 259–274.
A. Tamilarasan and K. Marimuthu, Multi-response optimisation of hard milling process parameters based on integrated Box-Behnken design with desirability function approach, International Journal of Machining and Machinability of Materials, 15 (3/4) (2014) 300–320.
Author information
Authors and Affiliations
Corresponding author
Additional information
Recommended by Associate Editor Young Whan Park
A. Tamilarasan is currently working as an Assistant Professor in the Department of Mechanical Engineering, Sri Chandrasekharendra Saraswathi Vishwa Mahavidyalaya, Kanchipuram, Tamilnadu, India. He completed Ph.D. in Mechanical Engineering from Anna University Chennai. He published nine research papers in international journals and four in international conferences. His research includes advanced design and manufacturing engineering, AI techniques, and FEA analysis.
D. Rajamani has completed his B.E. in Mechanical Engineering and M.E. in Engineering Design from Anna University Chennai. He is currently working as a Research Fellow in the Department of Mechanical Engineering, Vel Tech Dr. RR and Dr. SR Technical University, Chennai, Tamilnadu, India. He published four research papers in international journals and two in international conferences. His research includes modern machining process, additive Manufacturing, and Optimization Techniques.
Rights and permissions
About this article
Cite this article
Tamilarasan, A., Rajamani, D. Multi-response optimization of Nd:YAG laser cutting parameters of Ti-6Al-4V superalloy sheet. J Mech Sci Technol 31, 813–821 (2017). https://doi.org/10.1007/s12206-017-0133-1
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12206-017-0133-1