Process oriented material characterization for numerical simulation of sheet metal forming operations
Head
Researcher
Funding period:
Start: 1. August 2015
Ende: 31. July 2017
Verlängerung: 31. October 2017
Abstract
The aim of this research project consists of the application accuracy improvement of the numerical simulation with coexistent increase of the effectivity of the material characterization. With a part‑specific choice of the testing methods, the use of additional information of standardized tests (e.g. continuous progress of the Lankford coefficient) as well as by a material-specific modelling of yield loci and subsequent yield loci (e.g. tailored yield criterion exponent / m-value) results a rise of the prediction quality of numerical sheet metal forming processes and additional a time and cost reduction during the experimental value determination. The obtained findings are directly transferable and provide therefore a straightaway benefit for small and medium-sized businesses.

Research groups
Publications
2018
Improvement of the drawing ratio of the anisotropic material behaviour under near plane strain conditions for DP600 characterized in elliptic hydraulic bulge test
DOI: 10.1088/1742-6596/1063/1/012161
, :
Prozessorientierte Werkstoffcharakterisierung für die numerische Auslegung von Blechumformperationen - EFB-Forschungsbericht Nr. 484
Hannover: Europäische Forschungsgesellschaft für Blechverarbeitung e.V., 2018
(EFB-Forschungsbericht)
ISBN: 978-3-86776-536-7 , , , :
2017
Analysis of the Lankford Coefficient Evolution at Different Strain Rates for AA6016-T4, DP800 and DC06
In: Dermot Brabazon, Sumsun Naher and Inam Ul Ahad (ed.): AIP Conference Proceedings 1896(2017)160001 2017
DOI: 10.1063/1.5008176
, :
Characterisation of strain rate dependency of sheet metals under biaxial loading with a strain rate controlled hydraulic bulge test
7. WGP-Jahreskongress Aachen, 5.-6. Oktober 2017 (Aachen, 5. October 2017 - 6. October 2017)
In: R. H. Schmitt, G. Schuh (ed.): 7. WGP-Jahreskongress Aachen, 5.-6. Oktober 2017 2017 , , :