Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | VIII International Scientific Colloquium on Modelling for Materials Processing 21–22 September 2017, Riga, Latvia |
| Publikationsstatus | Veröffentlicht - 8 Mai 2018 |
| Veranstaltung | 8th International Scientific Colloquium on Modelling for Materials Processing - Riga, Lettland Dauer: 21 Sept. 2017 → 22 Sept. 2017 |
Publikationsreihe
| Name | IOP Conference Series: Materials Science and Engineering |
|---|---|
| Herausgeber (Verlag) | IOP Publishing Ltd. |
| Band | 355 |
| ISSN (Print) | 1757-8981 |
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".
ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.)
- Allgemeine Materialwissenschaften
- Ingenieurwesen (insg.)
- Allgemeiner Maschinenbau
Ziele für nachhaltige Entwicklung
Zitieren
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- Harvard
- Apa
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- BibTex
- RIS
VIII International Scientific Colloquium on Modelling for Materials Processing 21–22 September 2017, Riga, Latvia. 2018. 012016 (IOP Conference Series: Materials Science and Engineering; Band 355).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Self-adaptive multimethod optimization applied to a tailored heating forging process
AU - Baldan, M.
AU - Steinberg, T.
AU - Baake, E.
PY - 2018/5/8
Y1 - 2018/5/8
N2 - 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".
AB - 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".
UR - http://www.scopus.com/inward/record.url?scp=85050590984&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/355/1/012016
DO - 10.1088/1757-899X/355/1/012016
M3 - Conference contribution
AN - SCOPUS:85050590984
T3 - IOP Conference Series: Materials Science and Engineering
BT - VIII International Scientific Colloquium on Modelling for Materials Processing 21–22 September 2017, Riga, Latvia
T2 - 8th International Scientific Colloquium on Modelling for Materials Processing
Y2 - 21 September 2017 through 22 September 2017
ER -