The Use of Collections of Artificial Neural Networks to Improve the Control Quality of the Induction Soldering Process.

Vladislav Viktorovich Kukartsev,Viktor Alekseevich Kukartsev,Anton Vladimirovich Milov,Kirill Aleksandrovich Bashmur,Roman Sergienko,Valeriya Valerievna Tynchenko,Sergei Olegovich Kurashkin,Vadim Sergeevich Tynchenko,Vladimir Viktorovich Bukhtoyarov

doi:10.3390/s21124199

Abstract

In industries that implement the technology of induction soldering, various sensors, including non-contact pyrometric ones, are widely used to control the technological process. The use of this type of sensor implies the need to choose a solution that is effective in different operating conditions in terms of the accuracy of the data obtained and the reliability of the measurement equipment and duplication in case of a failure. The present article discusses the development of intelligent technology based on a collection of artificial neural networks, which allows a number of problems associated with technological process control when using pyrometric sensors to be solved: assessing the quality of measurements, correcting measurements when non-standard errors are detected, and controlling the process of induction heating in the absence of reliable readings of the measurement instruments. The collection of artificial neural networks is self-configuring with the use of multicriterion genetic algorithms. The use of the proposed intelligent technology made it possible to improve the control quality of the technological process of the induction brazing of waveguide paths of spacecraft: the overregulation was decreased from 0–20 to 0, and the difference in the heating temperatures of the elements of the brazed waveguide assembly was decreased from 20–100 to 0–10. In addition, the overall process duration decreased and became more stable. When using the classical control technology, the time varied in the range of 20–60 s; when using the proposed technology, it stabilized in the range of 30–35 s.

Highlights

IntroductionTechnology is most often used by the enterprises of the aerospace industry to create highquality one-piece connections [1,2]
In the production of waveguide paths for spacecraft (SCWP), induction brazing (IB)technology is most often used by the enterprises of the aerospace industry to create highquality one-piece connections [1,2]
The implementation of the proposed technology will improve the control quality of the technological process of the induction brazing of waveguide paths of spacecraft by implementing:

Summary

Introduction

Technology is most often used by the enterprises of the aerospace industry to create highquality one-piece connections [1,2]. The use of such a high-tech method is due to the high requirements in terms of the quality of the products [3]. One of the main modern directions in the automation of industrial production is the implementation of automated systems within the framework of the Industry 4.0 concept This concept presupposes the creation and implementation of new cyber-physical systems in various industries, which, using intelligent information processing methods, allows the quality of technological process control to be improved. This, in turn, improves the quality of products [5]

Objectives

Methods

Results

Discussion

Conclusion