Application of Fourier-related data reduction methods in sheet metal forming

Publikation: Beitrag in FachzeitschriftKonferenzartikelBeigetragenBegutachtung

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

OriginalspracheEnglisch
Seiten (von - bis)260-265
Seitenumfang6
FachzeitschriftProcedia CIRP
Jahrgang99
PublikationsstatusVeröffentlicht - 2021
Peer-Review-StatusJa

Konferenz

Titel14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2020
Dauer15 - 17 Juli 2020
StadtNaples
LandItalien

Schlagworte

Schlagwörter

  • Deep drawing, Discrete Cosin Transform (DCT), Discrete Fourier Transform (DFT), FEM, Press hardening, Sensitivity analysis