Wear Evaluation of CVD Diamond Coated High-Performance Drilling Tools for Machining
of Carbon Fiber Rreinforced Plastics (CFRP)
1
Fraunhofer Institute for Production Systems and Design Technology (IPK), Berlin, Germany
2
Institute for Machine Tools and Factory Management (IWF) – TU Berlin, Germany
3
Institute for Materials Science and Technologies; Metallic Materials (MW) - TU Berlin, Germany
Submission date: 2019-12-04
Acceptance date: 2020-02-11
Online publication date: 2020-06-24
Publication date: 2020-06-24
Journal of Machine Engineering 2020;20(2):104-113
KEYWORDS
ABSTRACT
The application of carbon fiber reinforced plastics (CFRP) as lightweight construction material in aerospace industry is based on the favorable weight-to-strength ratio. But the inherent material properties pose great challenges for the tool- as well as the manufacturing industry. In terms of economic industrial production processes, the quality of machined workpieces exhibits poor reproducibility combined with high tool wear. For this purpose, high-performance drilling tools with different CVD diamond coatings and carbide substrates with varying binder content were tested and analyzed in order to assess coating adhesion and workpiece quality. Due to a reduction of cobalt binder within the tungsten carbide-based tool substrates, an increase of tool performance regarding borehole quantity until coating delamination is demonstrated. While the reduction of tool wear on
the rake face of the drilling tools can be correlated with the cutting tool performance, the online monitoring
of cutting forces does not explicitly identify damaged cutting tools during machining.
ACKNOWLEDGEMENTS
This publication is based on the results of the DFG UH 100/200-1 and DFG RE 688/71-1 research projects funded by the German Research Foundation (DFG).
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CITATIONS (2):
1.
Cutting Performance and Wear Mechanism of Multilayer Diamond‐Coated Tools
Guangyu Yan, Yubin Sun, Daniel Cristea, Yuhou Wu, Lusheng Liu, He Wang, Jinbao Zhao
Advanced Engineering Materials
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2.
CVD diamond processing tools: A review
Zhenfei Guo, Bing Guo, Jufan Zhang, Guicheng Wu, Huan Zhao, Jianfei Jia, Qingyu Meng, Qingliang Zhao
Journal of Advanced Research
Zhenfei Guo, Bing Guo, Jufan Zhang, Guicheng Wu, Huan Zhao, Jianfei Jia, Qingyu Meng, Qingliang Zhao
Journal of Advanced Research
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| eISSN: | 2391-8071 |
| ISSN: | 1895-7595 |
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