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Title:A cloud-based system for the optical monitoring of tool conditions during milling through the detection of chip surface size and identification of cutting force trends
Authors:ID Župerl, Uroš (Author)
ID Stępień, Krzysztof (Author)
ID Munđar, Goran (Author)
ID Kovačič, Miha (Author)
Files:.pdf processes-10-00671.pdf (5,65 MB)
MD5: B47A5B36F463F8418C7ECB7E079EBD23
 
URL https://www.mdpi.com/2227-9717/10/4/671
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:This article presents a cloud-based system for the on-line monitoring of tool conditions in end milling. The novelty of this research is the developed system that connects the IoT (Internet of Things) platform for the monitoring of tool conditions in the cloud to the machine tool and optical system for the detection of cutting chip size. The optical system takes care of the acquisition and transfer of signals regarding chip size to the IoT application, where they are used as an indicator for the determination of tool conditions. In addition, the novelty of the presented approach is in the artificial intelligence integrated into the platform, which monitors a tool’s condition through identification of the current cutting force trend and protects the tool against excessive loading by correcting process parameters. The practical significance of the research is that it is a new system for fast tool condition monitoring, which ensures savings, reduces investment costs due to the use of a more cost-effective sensor, improves machining efficiency and allows remote process monitoring on mobile devices. A machining test was performed to verify the feasibility of the monitoring system. The results show that the developed system with an ANN (artificial neural network) for the recognition of cutting force patterns successfully detects tool damage and stops the process within 35 ms. This article reports a classification accuracy of 85.3% using an ANN with no error in the identification of tool breakage, which verifies the effectiveness and practicality of the approach.
Keywords:machining, end milling, tool condition monitoring, chip size detection, cutting force trend identification, visual sensor monitoring, cloud manufacturing technologies
Publication status:Published
Publication version:Version of Record
Submitted for review:24.02.2022
Article acceptance date:28.03.2022
Publication date:30.03.2022
Publisher:MDPI AG
Year of publishing:2022
Number of pages:21 str.
Numbering:Vol. 10, iss. 4
PID:20.500.12556/DKUM-92264 New window
UDC:621.914.1
ISSN on article:2227-9717
COBISS.SI-ID:102886659 New window
DOI:10.3390/pr10040671 New window
Copyright:© 2022 by the authors
Publication date in DKUM:26.03.2025
Views:0
Downloads:2
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
ŽUPERL, Uroš, STĘPIEŃ, Krzysztof, MUNĐAR, Goran and KOVAČIČ, Miha, 2022, A cloud-based system for the optical monitoring of tool conditions during milling through the detection of chip surface size and identification of cutting force trends. Processes [online]. 2022. Vol. 10, no. 4. [Accessed 23 April 2025]. DOI 10.3390/pr10040671. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=92264
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Record is a part of a journal

Title:Processes
Shortened title:Processes
Publisher:MDPI AG
ISSN:2227-9717
COBISS.SI-ID:523353113 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:strojna obdelava, oblikovno frezanje, nadzor stanja rezalnega orodja, zaznavanje velikosti čipa, identifikacija trenda rezalne sile, nadzor vizualnega senzorja, tehnologije izdelave v oblaku


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