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)