Manufacturing Technology 2016, 16(6):1326-1331 | DOI: 10.21062/ujep/x.2016/a/1213-2489/MT/16/6/1326

Optimization Machining of Titanium Alloy Ti-6Al-4V by WEDM with Emphasis on the Quality of the Machined Surface

Katerina Mouralova, Jiri Kovar, Zdenek Karpisek, Pavel Kousa
Faculty of Mechanical Engineering, Brno University of Technology. Technicka 2896/2, 616 69 Brno. Czech Republic

The objective of this work is to assess cutting speed during the wire electrical discharge machining (WEDM) depending on the machine parameters setting (gap voltage, pulse on time, pulse off time, wire speed and discharge current) and follow-up assessment of the surface quality achieved. In order to achieve efficient machining the maximum cutting speed is required, however maintaining of the required quality and functional characteristics of the machined surface must be considered. Surface morphology during the wire electrical discharge machining is formed by a high number of craters, of which depth has direct effect on area parameters and profile parameters of the surface quality. These parameters were evaluated using Contactless 3D profile-meter based on the principle of coherence correlation inter-ferometry IFM G4 from the Alicona producer.

Keywords: WEDM, Electrical Discharge Machining, Design of Experiment, surface roughness, titanium alloy

Published: December 1, 2016  Show citation

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Mouralova K, Kovar J, Karpisek Z, Kousa P. Optimization Machining of Titanium Alloy Ti-6Al-4V by WEDM with Emphasis on the Quality of the Machined Surface. Manufacturing Technology. 2016;16(6):1326-1331. doi: 10.21062/ujep/x.2016/a/1213-2489/MT/16/6/1326.
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    References

    1. NAUGHTON, M. D., & TIERNAN, P. (2007). Mechanical behaviour and superplastic forming capabilities of extra-low interstitial grade Ti-6Al-4V wire alloy with numerical verification. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials Design and Applications, 221(3), pp. 165-174. Go to original source...
    2. GURRAPPA, I. (2003). Characterization of titanium alloy Ti-6Al-4V for chemical, marine and industrial applications. Materials Characterization, 51(2), pp. 131-139. Go to original source...
    3. SIVAPRAKASAM, P., HARIHARAN, P., & GOWRI, S. (2014). Modelling and analysis of micro-WEDM process of titanium alloy (Ti-6Al-4V) using response surface approach. Engineering Science and Technology, an International Journal, 17(4), pp. 227-235. Go to original source...
    4. KUMAR, A., KUMAR, V., & KUMAR, J. (2013). Multi-response optimization of process parameters based on response surface methodology for pure titanium using WEDM process. The International Journal of Advanced Manufacturing Technology, 68(9-12), pp. 2645-2668. Go to original source...
    5. MATOUSEK, R., BEDNAR, J. (2009). Grammatical Evolution: Epsilon Tube in Symbolic Regression Task. Mendel Journal series. MENDEL. Brno, BUT, pp. 9 - 15.
    6. MATOUSEK, R., BEDNAR, J. (2010). Grammatical evolution and STE criterion: Statistical properties of STE objective function.Lecture Notes in Electrical Engineering, vol 68, pp. 131-142. Go to original source...
    7. OSIČKA, K., FIŠEROVÁ, Z., OTOUPALÍK, J. (2015). Influence of cutting tool overhangs at machining of hardened steels. In: Manufacturing TECHNOLOGY, pp. 188-191. Go to original source...
    8. MOURALOVÁ, K.; BEDNÁŘ, J.; KOVÁŘ, J.; MACH, J. (2016). Evaluation of MRR after WEDM depending on the resulting surface. In: Manufacturing TECHNOLOGY, pp. 396-401. Go to original source...
    9. BLECHA, P.; BLECHA, R.; BRADÁČ, F. (2011). Integration of Risk Management into the Machinery Design Process. In Mechatronics Recent Technological and Scientific Advances. Varšava: Springer-Verlag Berlin Heidelberg, pp. 473-482. Go to original source...
    10. BLECHA, P.; PROSTREDNIK, D. (2011). Influence on the failure probability. Inteligent Manufacturing and Automation: Focus on Young Researches and Scientists, pp. 11-12. Go to original source...
    11. BLECHA, P. (2006). Integration of risk management into Meta-Quality Deployment method. In AEDS 2006 Workshop Proceedings. Plzeň: Západočeská univerzita v Plzni, pp. 23.
    12. KE, Z., CHENG-FENG, L., & ZHEN-GANG, Z. (2007). Measurement of electrical conductivity of porous titanium and Ti6Al4V prepared by the powder metallurgy method. Chinese Physics Letters, 24(1), pp. 187-190. Go to original source...
    13. SAINI, P. K., & VERMA, M. Experimental Investigation of Wire-EDM Process Parameters on MRR of Ti-6al-4v Alloy. In: International Journal of Innovative Technology and Exploring Engineering, pp. 16-20.
    14. ALIAS, A., ABDULLAH, B., & ABBAS, N. M. (2012). Wedm: Influence of Machine Feed Rate in Machining Titanium Ti-6al-4v Using Brass Wire and Constant Current (4a). Procedia Engineering, 41, pp. 1812-1817. Go to original source...
    15. SARKAR, S., MITRA, S., & BHATTACHARYYA, B. (2006). Parametric optimisation of wire electrical discharge machining of γ titanium aluminide alloy through an artificial neural network model. The International Journal of Advanced Manufacturing Technology, 27(5-6), pp. 501-508. Go to original source...
    16. SARKAR, S., MITRA, S., & BHATTACHARYYA, B. (2005). Parametric analysis and optimization of wire electrical discharge machining of γ-titanium aluminide alloy. Journal of Materials Processing Technology, 159(3), 286-294. Go to original source...
    17. LIAO, Y. S., & YU, Y. P. (2004). Study of specific discharge energy in WEDM and its application. International Journal of Machine Tools and Manufacture, 44(12), pp. 1373-1380. Go to original source...
    18. MOURALOVA, K., (2015). Modern technologies for wire electrical discharge cutting of metal alloys. Thesis. Brno: CERM, pp. 98.
    19. SHANDILYA, P., JAIN, P. K., & JAIN, N. K. (2013). RSM and ANN modelling approaches for predicting average cutting speed during WEDM of SiC p/6061 Al MMC. Procedia Engineering, 64, pp. 767-774. Go to original source...
    20. Kumar, A., Kumar, V., & Kumar, J. (2013). Experimental Investigation on material transfer mechanism in WEDM of pure titanium (Grade-2). Advances in Materials Science and Engineering. Go to original source...
    21. MOURALOVÁ, K.; BEDNÁŘ, J. DETERMINATION OF SIGNIFICANT PROCESS PARAMETERS OF WEDM: Preliminary Study. MENDEL 2013. Mendel Journal series.ISCC. Brno: BUT, 2013. pp. 451-454.

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