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)