Szczegóły publikacji
Opis bibliograficzny
Optimization as a support for design of hot rolling technology of dual phase steel strips / Danuta SZELIGA, Łukasz SZTANGRET, Jan KUSIAK, Maciej PIETRZYK // W: Numiform 2013 [Dokument elektroniczny] : the 11th international conference on numerical methods in industrial forming processes : Shenyang, China, July 6–10, 2013 / eds. Shi-Hong Zhang [et al.]. — Wersja do Windows. — Dane tekstowe. — [China : s. n.], 2013. — 1 dysk optyczny. — (AIP Conference Proceedings ; ISSN 0094-243X ; vol. 1532). — e-ISBN: 978-0-7354-1156-2. — S. 718–724. — Wymagania systemowe: Adobe Reader ; napęd CD-ROM. — Bibliogr. s. 723–724, Abstr.
Autorzy (4)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 75022 |
|---|---|
| Data dodania do BaDAP | 2013-09-02 |
| DOI | 10.1063/1.4806901 |
| Rok publikacji | 2013 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | Numiform 2013 : the 11th international conference on Numerical methods in industrial forming processes |
| Czasopismo/seria | AIP Conference Proceedings |
Abstract
The objective of the paper was performing of the sensitivity analysis of the model used for design of manufacturing technology for auto body parts made of the Advanced High Strength Steels (AHSS). Dual phase steel was considered as an example. The sensitivity analysis was performed to evaluate the importance of all variables as far as their influence on the finishing rolling temperature and grain size. The phase composition after cooling was also considered. An arbitrary hot rolling process characterized only by a number of passes and cooling conditions between passes, as well as by laminar cooling parameters, was selected for the analysis. Metamodel of the rolling cycle was developed to decrease the computing costs for the optimization task. Modified Avrami equation was used for modelling phase transformations during cooling. Such process parameters as the initial temperature, interpass times, heat exchange coefficients and rolling velocities were selected as optimization variables for the rolling process. Parameters of the thermal cycles were selected as the optimization variables for the laminar cooling process. Achieving the required phase composition of product was the optimization objective function. Optimization was performed using various techniques, including methods inspired by nature optimization.
