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

Research output: Contribution to journal › Conference article › Contributed › peer-review

Contributors

  • Christian Schwarz - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Patrick Link - , Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Steffen Ihlenfeldt - , Institute of Mechatronic Engineering, Chair of Machine Tools Development and Adaptive Controls, Fraunhofer Institute for Machine Tools and Forming Technology (Author)
  • Welf Guntram Drossel - , Fraunhofer Institute for Machine Tools and Forming Technology, Chemnitz University of Technology (Author)

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

Original languageEnglish
Pages (from-to)260-265
Number of pages6
JournalProcedia CIRP
Volume99
Publication statusPublished - 2021
Peer-reviewedYes

Conference

Title14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2020
Duration15 - 17 July 2020
CityNaples
CountryItaly

Keywords

ASJC Scopus subject areas

Keywords

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