Abstract
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 is proposed.
Highlights
One of the most important technological operations in the production of almost any product is the creation of permanent connections
The method of making technological decisions presented in this paper focuses primarily on the initial setting of the induction brazing process, which is due to the choice of new input parameters different from those used in the work [21]
This article demonstrates the development of a method for determining the operating mode of the induction soldering process for the waveguide paths of spacecraft
Summary
One of the most important technological operations in the production of almost any product is the creation of permanent connections. A significant problem in the automation of the induction heating technology is the inaccuracy of measuring instruments, which is caused by the features of pyrometers [13]. Intelligent methods make it possible to remove uncertainties [14]. Intelligent methods have been used for decision-making in various fields [16,17,18,19,20], where they have shown quite good results Another significant problem in the automation of the induction brazing process is the very high complexity of correctly setting process parameters at the initial stage.
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