Self-adaptive multimethod optimization applied to a tailored heating forging process

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Baldan, M.; Steinberg, T.; Baake, E.: Self-adaptive multimethod optimization applied to a tailored heating forging process. In: IOP Conference Series: Materials Science and Engineering 355 (2018), Nr. 1, 12016. DOI: https://doi.org/10.1088/1757-899X/355/1/012016

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/3760

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Sum total of downloads: 65




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Abstract: 
The presented paper describes an innovative self-adaptive multi-objective optimization code. Investigation goals concern proving the superiority of this code compared to NGSA-II and applying it to an inductor's design case study addressed to a "tailored" heating forging application. The choice of the frequency and the heating time are followed by the determination of the turns number and their positions. Finally, a straightforward optimization is performed in order to minimize energy consumption using "optimal control".
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Fakultät für Elektrotechnik und Informatik

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pos. country downloads
total perc.
1 image of flag of Germany Germany 32 49.23%
2 image of flag of United States United States 12 18.46%
3 image of flag of China China 8 12.31%
4 image of flag of Sweden Sweden 3 4.62%
5 image of flag of Russian Federation Russian Federation 2 3.08%
6 image of flag of Philippines Philippines 2 3.08%
7 image of flag of New Zealand New Zealand 1 1.54%
8 image of flag of Korea, Republic of Korea, Republic of 1 1.54%
9 image of flag of India India 1 1.54%
10 image of flag of Indonesia Indonesia 1 1.54%
    other countries 2 3.08%

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