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

8th International Scientific Colloquium on Modelling for Materials Processing

Baldan, M.^1 ; Steinberg, T.^1 ; Baake, E.^1

Institute of Electrotecnology, Leibniz University Hanover, Wihlelm Busch Straße 4, Hanover

30167, Germany^1

关键词: Design case studies;    Forging process;    Heating time;    Optimal controls;    Self-Adaptive;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/355/1/012016/pdf
DOI  :  10.1088/1757-899X/355/1/012016

来源: IOP

【 摘 要 】

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".