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Folgar Ribadas, H.; Böddeker, T.; Chergui, A.; Ivanjko, M.; Gilie, F.; Behrens, S.: Joining TWIP-Steel Simulation Models. In: Procedia Structural Integrity 5 (2017), S. 516-523. DOI: https://doi.org/10.1016/j.prostr.2017.07.154

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/3402

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Sum total of downloads: 251




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Abstract: 
JoiningTWIP project aims to support the introduction of TWIP-steels for automotive applications (in cars, trucks and buses) by identifying possible applications and further developing mechanical and low-heat joining technologies to be able to implement multi-material design with TWIP-steels. To guarantee a full view of the project team members from steel industry, car manufacturers, joining technology suppliers and universities are working together. This work describes the simulation stage of the different technologies. During the project, the materials described in the scope of the project were tested in order to obtain material characterization. Also, the different multi-material joints were tested to describe the joining process and the joining quality. These results will be used to build complex simulation models and prototypes, which show the performance and the behavior of the joining processes of TWIP-steels. Five different technologies were analyzed in the scope of the project: clinching, high-speed bolt setting, resistance element welding (REW), friction element welding (FEW) and flow drill screwing (FDS). To guarantee the performance of the simulation models, the results were compared to the sampled joint and processes. An optimization process of the different technologies was applied to improve the quality and the performance of the different joints.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: ConferenceObject
Publishing status: publishedVersion
Issue Date: 2017
Appears in Collections:Fakultät für Maschinenbau

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 129 51.39%
2 image of flag of United States United States 36 14.34%
3 image of flag of China China 17 6.77%
4 image of flag of Korea, Republic of Korea, Republic of 10 3.98%
5 image of flag of Japan Japan 10 3.98%
6 image of flag of France France 8 3.19%
7 image of flag of Italy Italy 7 2.79%
8 image of flag of India India 4 1.59%
9 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 3 1.20%
10 image of flag of Spain Spain 3 1.20%
    other countries 24 9.56%

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