Abstract
A smart system is developed for predicting the properties of metals. A specially trained neural network generates a model of a dynamic system for the synthesis of new materials, with 3D printing. The system is able to predict time series analogous to the evolution of fractal characteristics of acoustic emissions associated with solidification.
Similar content being viewed by others
REFERENCES
Kabaldin, Yu.G., Shatagin, D.A., Anosov, M.S., et al., Otsenka i diagnostika strukturnoi ustoichivosti metallov pri nizkikh temperaturakh na osnove podkhodov nelineinoi dinamiki i iskusstvennogo intellekta: Monografiya (Assessment and Diagnostics of the Structural Stability of Metals at Low Temperatures Based on the Approaches of Nonlinear Dynamics and Artificial Intelligence: Monograph), Kabaldin, Yu.G., Ed., Nizhny Novgorod: Nizhegorod. Gos. Tekh. Univ. im. A.A. Alekseeva, 2017.
Panin, V.E., Grinyaev, Yu.V., Elsukova, T.F., and Ivanchin, A.G., Structural levels of deformation in solids, Sov. Phys. J., 1982, vol. 25, no. 6, pp. 479–497.
Kabaldin, Yu.G. and Murav’ev, S.N., Assessment of changes and stability of the structure of metallic materials during deformation based on fractal and wavelet analysis of acoustic emission signals, Deform. Razrushenie Mater., 2007, no. 2, pp. 13–20.
Feigenbaum, M.J., Universal behavior in nonlinear systems, Los Alamos Sci., 1980, vol. 1, no. 1, pp. 4–27.
Malinetskii, G.G., Matematicheskie osnovy sinergetiki. Khaos, struktury, vychislitel’nyi eksperiment (Mathematical Principles of Synergetics: Chaos, Structure, and Computational Expeirment), Moscow: Nauka, 2017.
Crownover, R.M., Introduction to Fractals and Chaos, Boston: Jones and Bartlett, 1995.
Trefilov, V.I., Kartuzov, V.V., and Minakov, N.V., Relationship between the fractal dimension of the fracture surface and mechanical properties, Pervyi Mezhdistsiplinarnyi seminar “Fraktaly i prikladnaya sinergetika (FiPS’99)” (First Interdisciplinary Seminar “Fractals and Applied Synergetics (FAS’99)”), Moscow, 1999, pp. 10–11.
Savenkov, G.G. and Barakhtin, B.K., Relation of the fractal dimension of the fracture surface with a set of standard tension characteristics of the material, J. Appl. Mech. Tech. Phys., 2011, vol. 52, no. 6, pp. 997–1003.
Kuznetsov, P.V., Panin, V.E., and Shraiter, Yu.V., Fractal dimension as a characteristic of deformation stages under cyclic active loading, Pervyi Mezhdistsiplinarnyi seminar “Fraktaly i prikladnaya sinergetika (FiPS’99)” (First Interdisciplinary Seminar “Fractals and Applied Synergetics (FAS’99)”), Moscow, 1999, pp. 122–143.
Wasserman, F., Neural Computing: Theory and Practice, New York: Van Nostrand Reinhold, 1989.
Kabaldin, Yu.G., Kolchin, P.V., Anosov, M.S., et al., Tekhnologiya 3D-pechati metodom elektrodugovoi naplavki. Struktura i mekhanicheskie svoistva izdelii pri nizkikh temperaturakh: Monografiya (3D Printing Technology by Electric Arc Surfacing. Structure and Mechanical Properties of Products at Low Temperatures: Monograph), Kabaldin, Yu.G., Ed., Nizhny Novgorod: Nizhegorod. Gos. Tekh. Univ. im. A.A. Alekseeva, 2020.
Funding
Financial support was provided by the Russian Science Foundation (grant 20-79-00135).
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated by B. Gilbert
About this article
Cite this article
Kabaldin, Y.G., Shatagin, D.A. & Anosov, M.S. Synthesis of New Metallic Materials on the Basis of Nonlinear Dynamics and Artificial Intelligence. Russ. Engin. Res. 41, 824–828 (2021). https://doi.org/10.3103/S1068798X21090136
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.3103/S1068798X21090136