Influence of the process parameters on the grinding result in continuous generating grinding of cutting tools

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Denkena, B.; Bergmann, B.; Wolters, P.; Gärtner, N.: Influence of the process parameters on the grinding result in continuous generating grinding of cutting tools. In: SN Applied Sciences 5 (2023), 272. DOI: https://doi.org/10.1007/s42452-023-05497-3

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/15664

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Sum total of downloads: 31




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Abstract: 
Continuous generating grinding processes have largely replaced discontinuous profile grinding processes in gear manufacturing due to their higher productivity. On order to transfer the advantage of the productivity benefits of this process to tool grinding, the continuous generating grinding was adapted to the manufacture of cutting tools. However, this novel approach of using continuous generating grinding processes for tool grinding has not been widely investigated. Therefore, the aim of this study is to investigate the influence of cutting speed, feed and radial depth of cut on the process result and thus to generate initial knowledge for the process design. Subsequently, the influence of these parameters on the grinding worm wear as well as on the cutting edge quality and surface properties of the ground milling tools are investigated. The results show that an increase of the radial depth of cut leads to a reduction of the process time by the factor of four without significantly influencing the wear of the grinding worm tooth. Furthermore, an increase of the cutting speed only leads to an increase in the initial wear of the grinding worm after the dressing process. For this reason, the cutting speed offers the potential to further increase the productivity of the process. The microgeometry of the cutting edge of the ground milling tool is mainly affected by the feed and the macro geometry by the feed and radial depth of cut.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2023
Appears in Collections:Fakultät für Maschinenbau

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pos. country downloads
total perc.
1 image of flag of United States United States 8 25.81%
2 image of flag of Belgium Belgium 6 19.35%
3 image of flag of Germany Germany 5 16.13%
4 image of flag of Turkey Turkey 2 6.45%
5 image of flag of Italy Italy 2 6.45%
6 image of flag of No geo information available No geo information available 1 3.23%
7 image of flag of Poland Poland 1 3.23%
8 image of flag of India India 1 3.23%
9 image of flag of Indonesia Indonesia 1 3.23%
10 image of flag of Switzerland Switzerland 1 3.23%
    other countries 3 9.68%

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