Self-adaptive multimethod optimization applied to a tailored heating forging process
- verfasst von
- M. Baldan, T. Steinberg, E. Baake
- 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".
- Organisationseinheit(en)
-
Institut für Elektroprozesstechnik
- Typ
- Aufsatz in Konferenzband
- Publikationsdatum
- 08.05.2018
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.), Ingenieurwesen (insg.)
- Ziele für nachhaltige Entwicklung
- SDG 7 – Erschwingliche und saubere Energie
- Elektronische Version(en)
-
https://doi.org/10.1088/1757-899X/355/1/012016 (Zugang:
Offen)