Issue |
EPJ Web Conf.
Volume 183, 2018
DYMAT 2018 - 12th International Conference on the Mechanical and Physical Behaviour of Materials under Dynamic Loading
|
|
---|---|---|
Article Number | 02047 | |
Number of page(s) | 6 | |
Section | Experimental Techniques | |
DOI | https://doi.org/10.1051/epjconf/201818302047 | |
Published online | 07 September 2018 |
https://doi.org/10.1051/epjconf/201818302047
Dynamic fracture of a dual phase automotive steel
1
DyMa Lab, EEMMeCS department, Ghent University, Technologie park 903,
Zwijnaarde 9052,
Ghent,
Belgium
2
Steel Institute, RWTH Aachen University,
Intzestraße 1,
52072
Aachen,
Germany
* Corresponding author: Sarath.Chandran@UGent.be
Published online: 7 September 2018
Dynamic testing of sheet metals has become more important due to the need for more reliable vehicle crashworthiness assessments in the automotive industry. The study presents a comprehensive set of experimental results that covers a wide range of stress states on a dual phase automotive sheet steel. Split Hopkinson bar tensile (SHBT) tests are performed on dogbone shaped samples to obtain the plastic hardening properties at high strain rates. A set of purpose designed sample geometries comprising of three notched dogbone tension samples is tested at high strain rates to characterise the dynamic damage and fracture properties under well controlled stress states. The geometry of the samples is optimised with the aid of finite element analysis. During the tests, high speed photography together with digital image correlation are implemented to acquire full field measurements and to gain more insight into the localisation of strains at high strain rates. An experimental-numerical approach is proposed to effectively determine the fracture characteristics of the dual phase steel under extreme conditions. A modified Bai-Wierzbicki model is implemented to assess the damage initiation and subsequent failure. Additionally, the fracture mechanisms are studied utilizing scanning electron microscopy.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.