Process-related characteristic–based topography evaluation of wear conditions on grinding wheels

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • Maikel Strug
  • Berend Denkena
  • Bernd Breidenstein
  • Alexander Krödel-Worbes
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Details

OriginalspracheEnglisch
Seiten (von - bis)7707-7720
Seitenumfang14
FachzeitschriftInternational Journal of Advanced Manufacturing Technology
Jahrgang120
Ausgabenummer11-12
Frühes Online-Datum3 Mai 2022
PublikationsstatusVeröffentlicht - Juni 2022

Abstract

Non-productive auxiliary processes affect the single part and small badge production of milling tools. The key production process grinding is inevitably linked to the auxiliary conditioning process. The time demand of those process steps decreases the overall productivity of the manufacturing process. However, today the machine operator decides on conditioning cycles individually by the use of experience. Until today, there is no objective data based approach available that supports the initiation of these conditioning processes or the adaption of the grinding process itself in order to improve its process efficiency. For this purpose, a process-related topography evaluation method of the grinding wheel surface is developed within this study. For the measurement, an optical method based on laser triangulation is used. The measurement system is implemented into a common tool grinding machine tool. In addition, characteristic topography values are defined that show the wear conditions of the grinding tool. Moreover, the data is summarized in a database of wear conditions. The developed measurement method can save grinding and dressing tool resources, process times and minimizes scrap parts. In addition, an adaptation of the process and a targeted launch of auxiliary processes can be enabled. The novel characteristic-based topography measurement creates the opportunity to enhance the tool life of the grinding wheels up to 30% without losing productivity.

ASJC Scopus Sachgebiete

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Process-related characteristic–based topography evaluation of wear conditions on grinding wheels. / Strug, Maikel; Denkena, Berend; Breidenstein, Bernd et al.
in: International Journal of Advanced Manufacturing Technology, Jahrgang 120, Nr. 11-12, 06.2022, S. 7707-7720.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Strug M, Denkena B, Breidenstein B, Krödel-Worbes A. Process-related characteristic–based topography evaluation of wear conditions on grinding wheels. International Journal of Advanced Manufacturing Technology. 2022 Jun;120(11-12):7707-7720. Epub 2022 Mai 3. doi: 10.1007/s00170-022-09274-1, 10.1007/s00170-022-09274-1
Strug, Maikel ; Denkena, Berend ; Breidenstein, Bernd et al. / Process-related characteristic–based topography evaluation of wear conditions on grinding wheels. in: International Journal of Advanced Manufacturing Technology. 2022 ; Jahrgang 120, Nr. 11-12. S. 7707-7720.
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abstract = "Non-productive auxiliary processes affect the single part and small badge production of milling tools. The key production process grinding is inevitably linked to the auxiliary conditioning process. The time demand of those process steps decreases the overall productivity of the manufacturing process. However, today the machine operator decides on conditioning cycles individually by the use of experience. Until today, there is no objective data based approach available that supports the initiation of these conditioning processes or the adaption of the grinding process itself in order to improve its process efficiency. For this purpose, a process-related topography evaluation method of the grinding wheel surface is developed within this study. For the measurement, an optical method based on laser triangulation is used. The measurement system is implemented into a common tool grinding machine tool. In addition, characteristic topography values are defined that show the wear conditions of the grinding tool. Moreover, the data is summarized in a database of wear conditions. The developed measurement method can save grinding and dressing tool resources, process times and minimizes scrap parts. In addition, an adaptation of the process and a targeted launch of auxiliary processes can be enabled. The novel characteristic-based topography measurement creates the opportunity to enhance the tool life of the grinding wheels up to 30% without losing productivity.",
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AU - Krödel-Worbes, Alexander

N1 - Funding Information: The authors would like to thank the German Research Foundation (DFG, SFB 653, 5486368) for their organizational and financial support within the project “Characteristic value-based topography assessment and targeted adaptation of grinding processes using self-learning models”. Funding Information: Open Access funding enabled and organized by Projekt DEAL. German Research Foundation.

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N2 - Non-productive auxiliary processes affect the single part and small badge production of milling tools. The key production process grinding is inevitably linked to the auxiliary conditioning process. The time demand of those process steps decreases the overall productivity of the manufacturing process. However, today the machine operator decides on conditioning cycles individually by the use of experience. Until today, there is no objective data based approach available that supports the initiation of these conditioning processes or the adaption of the grinding process itself in order to improve its process efficiency. For this purpose, a process-related topography evaluation method of the grinding wheel surface is developed within this study. For the measurement, an optical method based on laser triangulation is used. The measurement system is implemented into a common tool grinding machine tool. In addition, characteristic topography values are defined that show the wear conditions of the grinding tool. Moreover, the data is summarized in a database of wear conditions. The developed measurement method can save grinding and dressing tool resources, process times and minimizes scrap parts. In addition, an adaptation of the process and a targeted launch of auxiliary processes can be enabled. The novel characteristic-based topography measurement creates the opportunity to enhance the tool life of the grinding wheels up to 30% without losing productivity.

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