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2020 №01 (01) DOI of Article
10.37434/tpwj2020.01.02
2020 №01 (03)

The Paton Welding Journal 2020 #01
The Paton Welding Journal, 2020, #1, 14-23 pages
 
Journal                    The Paton Welding Journal
Publisher                 International Association «Welding»
ISSN                      0957-798X (print)
Issue                       #1, 2020 (February)
Pages                      14-23

Numerical prediction of the state of beam products of different thickness during layer-by-layer electron beam surfacing

O.S. Milenin1, O.A. Velikoivanenko1, S.S. Kozlitina1, S.M. Kandala1 and A.E. Babenko2


1E.O. Paton Electric Welding Institute of the NAS of Ukraine 11 Kazymyr Malevych Str., 03150, Kyiv, Ukraine. E-mail: office@paton.kiev.ua
2National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute» 37 Peremohy Prosp., 03056. Kyiv, Ukraine

A complex of mathematical models and their computer realization means for numerical prediction of the kinetics of temperature fields, phase and structural states, mechanical stresses and strains in layer-by-layer formation of typical products of titanium-based alloys was developed. The peculiarities of VT6 titanium alloy state kinetics, depending on the technological parameters of production, were investigated on the typical examples of electron beam surfacing of T-shaped beam structures, from these alloys produced by xBeam 3D Metal Printer technology. The impact of the substrate thickness on the regularities of temperature field development during layer-by-layer formation of beam elements and on the structural state of the metal after complete cooling is shown. In the case of forming a thick-walled T-shaped product, it is shown that an important factor that allows obtaining a low level of residual stresses, is optimization of the delay time between deposition of each of the beads, to provide the conditions for uniform cooling of the structure. 11 Ref., 14 Figures.
Keywords: additive technologies, electron beam surfacing, xbeam 3D Metal Printer, mathematical modeling, macrostructure, mechanical properties, stress-strain state
 
Received:                21.11.19
Published:               21.02.20

References

1. Edwards, P. et al. (2013). Electron beam additive manufacturing of titanium components: Properties and performance. J. of Manufacturing Sci. and Eng., 135(6). https://doi.org/10.1115/1.4025773
2. Juechter, V., Franke, M.M., Merenda, T. et al. (2018) Additive manufacturing of Ti-45Al-4Nb-C by selective electron beam melting for automotive applications. Additive Manufacturing, 22, 118-126. https://doi.org/10.1016/j.addma.2018.05.008
3. Dutta, B., Froes, F.H. (2016) Additive manufacturing of titanium alloys: State of the art, challenges and opportunities. Oxford, Butterworth-Heinemann. https://doi.org/10.1016/C2015-0-02470-4
4. Kovalchuk, D.V., Melnik, V.I., Melnik, I.V. (2017) New possibilities of additive manufacturing with xBeam 3D Metal Printing technology. In: Proc. of 8th Int. Conf. on Beam Technologies in Welding and Processing of Materials. Kyiv, 45-52. https://doi.org/10.15407/tpwj2017.12.03
5. Makhnenko, V.I. (2006) Safe service life of welded joints and assemblies of modern structures. Kyiv, Naukova Dumka [in Russian].
6. Polkin, I.S. (2006) Improvement of properties of metallic materials due to application of new technological processes. In: Advanced technologies of light and special alloys. Moscow, Fizmatlit, 66-73 [in Russian].
7. Sieniawski, J., Ziaja, W., Kubiak, K. (2013) Microstructure and mechanical properties of high strength two-phase titanium alloys. Titanium Alloys, 69-79. https://doi.org/10.5772/56197
8. Liu, S., Shin, Y.C. (2019) Additive manufacturing of Ti6Al4V alloy: A review. Materials and design, 164, 1-23. https://doi.org/10.1016/j.matdes.2018.107552
9. Patil, S., Kekade, S., Phapale, K. (2016) Effect of α and β phase volume fraction on machining characteristics of titanium alloy Ti6Al4V. In: Proc. of 16th Machining Innovations Conf. for Aerospace Industry, 65. https://doi.org/10.1016/j.promfg.2016.11.009
10. Velikoivanenko, Е.A., Milenin, A.S., Popov, A.V. et al. (2019) Methods of numerical forecasting of the working performance of welded structures on computers of hybrid architecture. Cybernetics and Systems Analysis, 55(1), 117-127. https://doi.org/10.1007/s10559-019-00117-8
11. Makhnenko, O.V., Milenin, A.S., Velikoivanenko, E.A. et al. (2017) Modelling of temperature fields and stress-strain state of small 3D sample in its layer-by-layer forming. The Paton Welding J., 3, 7-14. https://doi.org/10.15407/tpwj2017.03.02