This is an open access article distributed under the CC BY 4.0
Volume 19 article 809 pages: 424-431
The article presents the development of a method for selecting the operating mode of the induction brazing process
based on intelligent methods. The use of intelligent methods is due to the presence of uncertain conditions caused
by the complexity of the initial setting of the technological parameters of the induction brazing process, the error of
measuring instruments, and the human factor. The use of smart methods will make it possible to reduce the impact
of negative factors, remove uncertainty, and adequately perform the initial set of technological parameters for the
induction brazing process. Artificial neural networks, the fuzzy controller and the neural fuzzy controller have been
chosen as the smart methods in this work. The article gives a brief overview of the above methods, provides a rationale
for the choice of intelligent methods, and also compares their effectiveness. Based on the results of the experimental
efficiency check, the most suitable method for determining the choice of induction brazing process operation
This work was supported by the Ministry of Science and
Higher Education of the Russian Federation (State Contract
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