Design of hybrid components joining zone through sensitivity analysis

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Siqueira, R.; Shugar, S.; Mozgova, I.; Lachmayer, R.: Design of hybrid components joining zone through sensitivity analysis. In: Proceedings of the Design Society: International Conference on Engineering Design 1 (2019), Nr. 1, S. 2697-2704. DOI: https://doi.org/10.1017/dsi.2019.276

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/10895

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Sum total of downloads: 119




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Abstract: 
Multi-material structures are a trending topic for the industry. With a high application potential, such as lightweight or extended life cycle, different manufacturing technologies are further developed for this intent. One of these technologies is Tailored Forming, a process-chain capable of joining different metals and creating massive hybrid components. In parallel to this development, new challenges rise for design, which has the responsibility of finding an optimal use of this technology and produce higher-performance products. However, this task cannot be solved by conventional engineering approach, since strong manufacturing constraints are involved and a lack of understanding about the joining zone formed between the materials still exists. To fill this gap, the objective of this study is to analyse the influence of the joining zone design over the structure behaviour and establish a suitable design method. For that, a computer-aided environment was constructed and a parametric sensitivity analysis was executed, taking a hybrid shaft as example. At the end, the simulation's results allowed a multi-objective optimisation and were able to generate first design guidelines. © 2019 Design Society. All rights reserved.
License of this version: CC BY-NC-ND 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2019
Appears in Collections:Fakultät für Maschinenbau

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pos. country downloads
total perc.
1 image of flag of Germany Germany 81 68.07%
2 image of flag of United States United States 24 20.17%
3 image of flag of China China 6 5.04%
4 image of flag of Canada Canada 2 1.68%
5 image of flag of No geo information available No geo information available 1 0.84%
6 image of flag of Taiwan Taiwan 1 0.84%
7 image of flag of Sweden Sweden 1 0.84%
8 image of flag of Korea, Republic of Korea, Republic of 1 0.84%
9 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 1 0.84%
10 image of flag of India India 1 0.84%

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