Thermomechanical Coating Load in Dependence of Fundamental Coating Properties

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Beblein, S.; Breidenstein, B.; Denkena, B.; Pusch, C.; Hoche, H. et al.: Thermomechanical Coating Load in Dependence of Fundamental Coating Properties. In: Procedia CIRP 58 (2017), S. 25-30. DOI: https://doi.org/10.1016/j.procir.2017.03.184

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/2115

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Sum total of downloads: 103




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Abstract: 
The conventional development of a coating system for cutting tools includes a variety of test series with elaborate experimental parameter studies. In particular, experimental investigations of the cutting behavior cause a significant consumption of cost, time and resources. In order to adapt the coating properties to the specific requirements of the cutting process, it is desirable to reduce the experimental effort of coating development by simulation of the machining process. Therefore, the main factors of the thermo-mechanical coating load in machining AISI 4140 were identified by means of 2D FEM chip formation simulations. In order to provide the required thermal and mechanical coating properties for the simulations, CrAlN-based coatings were deposited onto cutting inserts and extensively characterized. Within the simulations, the coating properties were varied between the physical and technological boundaries of CrAlN-based coatings. It was shown that the Young's modulus, the coating thickness and the friction coefficient significantly influence the thermomechanical load and the stress distribution within the coating. Finally, the cutting performance of the coated inserts was experimentally investigated and compared with the results of the simulations. Here, it was shown that delamination of the coating is particularly influenced by coating thickness. © 2017 The Authors.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Maschinenbau

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pos. country downloads
total perc.
1 image of flag of Germany Germany 92 89.32%
2 image of flag of China China 3 2.91%
3 image of flag of France France 2 1.94%
4 image of flag of No geo information available No geo information available 1 0.97%
5 image of flag of Russian Federation Russian Federation 1 0.97%
6 image of flag of Portugal Portugal 1 0.97%
7 image of flag of Poland Poland 1 0.97%
8 image of flag of India India 1 0.97%
9 image of flag of United Arab Emirates United Arab Emirates 1 0.97%

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