Investigations on the Potential of 5G for the Detection of Wear in Industrial Roller-Burnishing Processes

Roller burnishing represents an economical alternative to conventional surface-finishing processes, such as fine turning or honing. In contrast to the well-known wear mechanisms of chip-forming processes, the wear behavior in roller-burnishing is strongly based on the experience of the machine opera...

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Main Authors: Maximilian Kosel, Tobias Schippers, Aziz Abdul, Kristina Ishii, Jacek Mainczyk, Jürgen Mansel, Kai Milnikel, Bünyamin Nurkan, Ralf Löschner, Konstantin Haefner, Daniel Zontar, Christian Brecher
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/11/11/1678
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author Maximilian Kosel
Tobias Schippers
Aziz Abdul
Kristina Ishii
Jacek Mainczyk
Jürgen Mansel
Kai Milnikel
Bünyamin Nurkan
Ralf Löschner
Konstantin Haefner
Daniel Zontar
Christian Brecher
author_facet Maximilian Kosel
Tobias Schippers
Aziz Abdul
Kristina Ishii
Jacek Mainczyk
Jürgen Mansel
Kai Milnikel
Bünyamin Nurkan
Ralf Löschner
Konstantin Haefner
Daniel Zontar
Christian Brecher
author_sort Maximilian Kosel
collection DOAJ
description Roller burnishing represents an economical alternative to conventional surface-finishing processes, such as fine turning or honing. In contrast to the well-known wear mechanisms of chip-forming processes, the wear behavior in roller-burnishing is strongly based on the experience of the machine operators. The nature of the finishing process makes roller-burnishing very sensitive to surface defects, as it is often not possible to rework the last step in a process chain. In the present work, a prototype for a smart roller-burnishing tool with 5G communication is presented, which serves as an inline-monitoring tool to detect tool wear. A suitable metric to monitor the tool wear of the manufacturing roll is suggested, and the potentials of 5G communication for the described use-case are evaluated. Based on the signal-to-noise ratio of the process-force, a metric is found that distinguishes new rolls from worn rolls with very small defects on the micrometer scale. Using the presented approach, it was possible to distinguish the signal-to-noise ratio of a roll with very small wear marks by 3.8% on average. In the case of stronger wear marks, on the order of 20 µm, the difference increased to up to 15.6%.
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spelling doaj.art-7aca153da56741e6b0d18feadf8ca37b2023-11-23T13:54:05ZengMDPI AGElectronics2079-92922022-05-011111167810.3390/electronics11111678Investigations on the Potential of 5G for the Detection of Wear in Industrial Roller-Burnishing ProcessesMaximilian Kosel0Tobias Schippers1Aziz Abdul2Kristina Ishii3Jacek Mainczyk4Jürgen Mansel5Kai Milnikel6Bünyamin Nurkan7Ralf Löschner8Konstantin Haefner9Daniel Zontar10Christian Brecher11Fraunhofer Institute for Production Technology IPT, 52074 Aachen, GermanyR&D Steuerungstechnik GmbH & Co. KG, 41189 Mönchengladbach, GermanyFraunhofer Institute for Production Technology IPT, 52074 Aachen, GermanyFraunhofer Institute for Production Technology IPT, 52074 Aachen, GermanyR&D Steuerungstechnik GmbH & Co. KG, 41189 Mönchengladbach, GermanyR&D Steuerungstechnik GmbH & Co. KG, 41189 Mönchengladbach, GermanyR&D Steuerungstechnik GmbH & Co. KG, 41189 Mönchengladbach, GermanyWenaroll GmbH Tools and Systems, 42799 Leichlingen, GermanyWenaroll GmbH Tools and Systems, 42799 Leichlingen, GermanyWenaroll GmbH Tools and Systems, 42799 Leichlingen, GermanyFraunhofer Institute for Production Technology IPT, 52074 Aachen, GermanyFraunhofer Institute for Production Technology IPT, 52074 Aachen, GermanyRoller burnishing represents an economical alternative to conventional surface-finishing processes, such as fine turning or honing. In contrast to the well-known wear mechanisms of chip-forming processes, the wear behavior in roller-burnishing is strongly based on the experience of the machine operators. The nature of the finishing process makes roller-burnishing very sensitive to surface defects, as it is often not possible to rework the last step in a process chain. In the present work, a prototype for a smart roller-burnishing tool with 5G communication is presented, which serves as an inline-monitoring tool to detect tool wear. A suitable metric to monitor the tool wear of the manufacturing roll is suggested, and the potentials of 5G communication for the described use-case are evaluated. Based on the signal-to-noise ratio of the process-force, a metric is found that distinguishes new rolls from worn rolls with very small defects on the micrometer scale. Using the presented approach, it was possible to distinguish the signal-to-noise ratio of a roll with very small wear marks by 3.8% on average. In the case of stronger wear marks, on the order of 20 µm, the difference increased to up to 15.6%.https://www.mdpi.com/2079-9292/11/11/1678roller-burnishingburnishing5Gsurface finishing
spellingShingle Maximilian Kosel
Tobias Schippers
Aziz Abdul
Kristina Ishii
Jacek Mainczyk
Jürgen Mansel
Kai Milnikel
Bünyamin Nurkan
Ralf Löschner
Konstantin Haefner
Daniel Zontar
Christian Brecher
Investigations on the Potential of 5G for the Detection of Wear in Industrial Roller-Burnishing Processes
Electronics
roller-burnishing
burnishing
5G
surface finishing
title Investigations on the Potential of 5G for the Detection of Wear in Industrial Roller-Burnishing Processes
title_full Investigations on the Potential of 5G for the Detection of Wear in Industrial Roller-Burnishing Processes
title_fullStr Investigations on the Potential of 5G for the Detection of Wear in Industrial Roller-Burnishing Processes
title_full_unstemmed Investigations on the Potential of 5G for the Detection of Wear in Industrial Roller-Burnishing Processes
title_short Investigations on the Potential of 5G for the Detection of Wear in Industrial Roller-Burnishing Processes
title_sort investigations on the potential of 5g for the detection of wear in industrial roller burnishing processes
topic roller-burnishing
burnishing
5G
surface finishing
url https://www.mdpi.com/2079-9292/11/11/1678
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