Details
Original language | English |
---|---|
Pages (from-to) | 7707-7720 |
Number of pages | 14 |
Journal | International Journal of Advanced Manufacturing Technology |
Volume | 120 |
Issue number | 11-12 |
Early online date | 3 May 2022 |
Publication status | Published - Jun 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.
Keywords
- Diamond tools, Grinding, Tool condition monitoring, Tool wear
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Computer Science(all)
- Software
- Engineering(all)
- Mechanical Engineering
- Computer Science(all)
- Computer Science Applications
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: International Journal of Advanced Manufacturing Technology, Vol. 120, No. 11-12, 06.2022, p. 7707-7720.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Process-related characteristic–based topography evaluation of wear conditions on grinding wheels
AU - Strug, Maikel
AU - Denkena, Berend
AU - Breidenstein, Bernd
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.
PY - 2022/6
Y1 - 2022/6
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.
AB - 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.
KW - Diamond tools
KW - Grinding
KW - Tool condition monitoring
KW - Tool wear
UR - http://www.scopus.com/inward/record.url?scp=85129289004&partnerID=8YFLogxK
U2 - 10.1007/s00170-022-09274-1
DO - 10.1007/s00170-022-09274-1
M3 - Article
AN - SCOPUS:85129289004
VL - 120
SP - 7707
EP - 7720
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
SN - 0268-3768
IS - 11-12
ER -