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Article


Title

Intelligent support system for monitoring machining processes

Authors

[ 1 ] Instytut Technologii Materiałów, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.8] Mechanical engineering

Year of publication

2022

Published in

Journal of Physics: Conference Series

Journal year: 2022 | Journal volume: vol. 2198

Article type

scientific article

Publication language

english

Abstract

EN The intelligent support system for monitoring machining processes was objective of our research. The paper presents process of development of this system which can used in real enterprises. Methodology: to create of the system we use methods of artificial intelligence (neural networks, decision trees and rules, fuzzy logic), using AI methods we created procedures support monitoring machining processes: diagnosis of machining process disturbances using decision rules, control of stability of the machining process based on control card analysis using neural networks, control of surface roughness parameter using neural networks and decision trees and monitoring machine tool through control and compensation of thermal deformations of ball screws of CNC machine tools using neural networks. To optimize of AI models we compared many the models with different structures, chose the best models and used them in intelligent system.

Date of online publication

15.07.2022

Pages (from - to)

012003-1 - 012003-12

DOI

10.1088/1742-6596/2198/1/012003

URL

https://iopscience.iop.org/article/10.1088/1742-6596/2198/1/012003

Comments

Article Number: 012003

Presented on

15th Global Congress on Manufacturing and Management (GCMM 2021), 25-27.11.2020, Liverpool, United Kingdom

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / journal

40.0

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