Abstract

The article presents an approach to solving the problem of controlling the diffusion welding process using intelligent methods. The use of intelligent methods is due to the high complexity of the diffusion welding process. In this article, to solve the control problem, the use of intelligent control methods based on fuzzy logic, a neuro-fuzzy controller, and also on the basis of artificial neural networks is proposed. The paper presents the results of an experimental study of the proposed methods effectiveness, showing that control methods based on artificial neural networks have the highest efficiency. Using intelligent methods to control this process will reduce the negative impact of external factors, improve the quality of control, which in turn will improve the quality of products.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.