TPWJ, 2021, #1, 2-6 pages
Prediction of the kinetics of temperature fields and stress-strain state of dissimilar products, manufactured by layer-by-layer forming
O.V. Makhnenko, O.S. Milenin, O.A. Velykoivanenko, G.P. Rozynka, S.S. Kozlitina, N.I. Pivtorak and L.I. Dzyubak
E.O. Paton Electric Welding Institute of the NAS of Ukraine
11 Kazymyr Malevych Str., 03150, Kyiv, Ukraine. E-mail: firstname.lastname@example.org
Layer-by-layer forming of metal structures and elements of various-purpose mechanisms is a promising venue of high
technology advance. Broad possibilities for optimization of technology parameters and accuracy of positioning the
forming layers allow manufacturing thin-wall products of different geometry. Moreover, dissimilar structures can be
produced by changing the filler material. Such a technological process requires thorough optimization of the respective
technology cycle to guarantee the required quality of the dissimilar structure, depending on product shape, materials
and features of a specific technology. This work is a study of the features of the kinetics of temperature field and stressstrain
state of dissimilar structures during multilayer surfacing in the case of T-beam structures, made by xBeam 3D
Metal Printer technology. 12 Ref., 6 Figures.
layer-by-layer forming, dissimilar structure, temperature field, stress-strain state, mathematical modeling
1. Wang, Y., Zhou, Y., Lin, et al. (2020) Overview of 3D additive manufacturing (AM) and corresponding AM composites. Composites Part A: Applied Science and Manufacturing, 139, 106-114. https://doi.org/10.1016/j.compositesa.2020.106114
2. Ryan, K.R., Down, M.P., Banks, C.E. (2021) Future of additive manufacturing: Overview of 4D and 3D printed smart and advanced materials and their applications. Chemical Engineering J., 403, 126-162. https://doi.org/10.1016/j.cej.2020.126162
3. Ngo, T.D., Kashani, A., Imbalzano, G. et al. (2018) Additive manufacturing (3D printing): A review of materials, methods, applications and challenges. Composites Part B: Engineering, 143, 172-196. https://doi.org/10.1016/j.compositesb.2018.02.012
4. Dak, G., Pandey, C. (2020) A critical review on dissimilar welds joint between martensitic and austenitic steel for power plant application. Journal of Manufacturing Processes, 58, 377-406. https://doi.org/10.1016/j.jmapro.2020.08.019
5. Darwish S.M. (2004) Analysis of weld-bonded dissimilar materials. International Journal of Adhesion & Adhesives, 24, 347-354. https://doi.org/10.1016/j.ijadhadh.2003.11.007
6. O.S. Milenin, O.A. Velikoivanenko, S.S. Kozlitina, S.M. Kandala, A.E. Babenko. (2020) Numerical prediction of the state of beam products of different thickness during layer-by-layer electron beam surfacing. The Paton Welding J. 1, 14-23. https://doi.org/10.37434/tpwj2020.01.02
7. 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
8. A.S. Milenin. (2008) Physical and technological aspects of braze-welding of titanium-aluminium joints (Review). The Paton Welding J., 4, 16-19.
9. Makhnenko, V.I. (1976) Computational methods for investigation of kinetics of welding stresses and strains. Kiev, Naukova Dumka [in Russian].
10. Makhnenko V.I. (2006) Safe service life of welded joints and assemblies of modern structures. Kiev, Naukova Dumka [in Russian].
11. 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
12. (1986) Metallurgy and technology of welding of titanium and its alloys. Ed. by V.N. Zamkov. Kiev, Naukova Dumka [in Russian].
Advertising in this issue: