Application of Fourier-related data reduction methods in sheet metal forming
Publikation: Beitrag in Fachzeitschrift › Konferenzartikel › Beigetragen › Begutachtung
Beitragende
Abstract
Due to the increasing digitalization, modern solutions are needed to work effectively with rapidly growing amounts of data in the automotive production. This paper shows two potential fields of application for the practical use of data reduction methods. In particular, the combination of Fourier-related transformation methods (e.g. discrete Fourier transform) and surrogate models for the useful 3D visualization of complex interrelationships is shown using the example of press hardening and deep drawing.
Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 260-265 |
| Seitenumfang | 6 |
| Fachzeitschrift | Procedia CIRP |
| Jahrgang | 99 |
| Publikationsstatus | Veröffentlicht - 2021 |
| Peer-Review-Status | Ja |
Konferenz
| Titel | 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2020 |
|---|---|
| Dauer | 15 - 17 Juli 2020 |
| Stadt | Naples |
| Land | Italien |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Deep drawing, Discrete Cosin Transform (DCT), Discrete Fourier Transform (DFT), FEM, Press hardening, Sensitivity analysis