Chip formation in machining metal bonded grinding layers

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Denkena, B.; Grove, T.; Suntharakumaran, V.: Chip formation in machining metal bonded grinding layers. In: Procedia CIRP 78 (2018), S. 55-60. DOI: https://doi.org/10.1016/j.procir.2018.08.321

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/4422

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Sum total of downloads: 212




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Abstract: 
Gears demand increasingly high quality regarding acoustic emissions, surface roughness and lifetime. Therefore, grinding is often the last step in the process chain of gear manufacturing. Grinding wheel grain sizes of 30 micrometers lead to high surface quality and metal bonded CBN-grains allow a high wear resistance and profile stability of the grinding tool. Consequently, an increase of the material removal rates and thus productivity is possible without increasing the thermal load on the workpiece due to the grinding wheels' high thermal conductivity. However, the time and cost intensive dressing process in combination with the high profile requirements for gear grinding prevent the wide application of metal bonded tools for this application. This challenge can be solved using a new dressing approach with geometrically defined cutting edges. Metal bonded CBN-grinding layers have a structure similar to metal-matrix-composites, which can be machined by using the turning operation. The aim of this work is to verify the machinability of metal bonded CBN-grinding layers. In the present work, the chip formation for metal bonded grinding layers is presented.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Fakultät für Maschinenbau

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pos. country downloads
total perc.
1 image of flag of Germany Germany 112 52.83%
2 image of flag of United States United States 41 19.34%
3 image of flag of India India 15 7.08%
4 image of flag of China China 12 5.66%
5 image of flag of Russian Federation Russian Federation 5 2.36%
6 image of flag of Taiwan Taiwan 3 1.42%
7 image of flag of Turkey Turkey 2 0.94%
8 image of flag of Hong Kong Hong Kong 2 0.94%
9 image of flag of Spain Spain 1 0.47%
10 image of flag of Canada Canada 1 0.47%
    other countries 18 8.49%

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