Combined deep drawing and fusion bonding of structural FRP-metal hybrid parts
- authored by
- Bernd-Arno Behrens, Klaus Dilger, Kristian Lippky, Lukas Kaempf, Sven Hübner, Sven Hartwig, Yunus Altun, Max Gabriel, Ehsan Farahmand, Moritz Micke-Camuz
- Abstract
This research describes the development of a combined process of forming and thermal joining without adhesives of high strength steels and organosheets. In order to achieve cycle times below 20 s the temperature of the forming tool remains constant at 110 °C throughout the process. Thus, the removal of the component can take place immediately after the forming process without cooling of the forming tool. The thermal energy required to assure the thermal joining process at 280 °C at the beginning of the intermediate forming step is applied by means of heating the steel in a furnace before the transfer to the forming tool. By choosing certain coating depended heat treatment parameters during the heating step, galvannealed rough surfaces of the steel blanks can be generated in order to increase the joint strength. The paper includes a surface analysis and lap-shear testing results to quantify the respective joint strength to be achieved with the proposed surface treatment. In addition tensile test results of the heated DP800 steel to characterize the thermal influence on the mechanical properties of the heated high-strength steels will be shown. Furthermore the paper presents a tool concept with a graded blank holder to perform stretching of the metal on the one hand and draping of the organosheet on the other hand as well as preliminary forming results.
- Organisation(s)
-
Institute of Metal Forming and Metal Forming Machines
- External Organisation(s)
-
Technische Universität Braunschweig
- Type
- Conference article
- Journal
- Procedia Manufacturing
- Volume
- 29
- Pages
- 296-304
- No. of pages
- 9
- ISSN
- 2351-9789
- Publication date
- 04.04.2019
- Publication status
- E-pub ahead of print
- Peer reviewed
- Yes
- ASJC Scopus subject areas
- Industrial and Manufacturing Engineering, Artificial Intelligence
- Electronic version(s)
-
https://doi.org/10.1016/j.promfg.2019.02.141 (Access:
Open)
-
Details in the research portal "Research@Leibniz University"