Influencing Parameters in the Deep Drawing of Fiber Metal Laminates with Low Viscous Matrix
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Standard
Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity - ICTP 2023 - Volume 2: ICTP 2023. ed. / Katia Mocellin; Pierre-Olivier Bouchard; Régis Bigot; Tudor Balan. Vol. 2 Cham: Springer, 2024. p. 124-134 (Lecture Notes in Mechanical Engineering (LNME)).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - CHAP
T1 - Influencing Parameters in the Deep Drawing of Fiber Metal Laminates with Low Viscous Matrix
AU - Kruse, Moritz
AU - Ben Khalifa, Noomane
N1 - Conference code: 14
PY - 2024
Y1 - 2024
N2 - Multi-materials, such as fiber metal laminates, offer several advantages over monolithic materials, i.e. the possibility of tailoring the material properties. The in-situ hybridization process combines deep drawing and thermoplastic resin transfer moulding (T-RTM) to manufacture fiber metal laminates with complex geometries in a single process step. However, due to strong fluid-structure interactions between fabric, metal and the low viscous matrix during forming and infiltration, other parameters besides those in pure metal deep drawing affect the process and part quality. Therefore, the influence of blank holder force, injection time, punch velocity and matrix viscosity on the process is experimentally investigated on part scale. The manufactured parts are subsequently assessed by measuring the metal blank surface strains and the thickness of the glass fiber reinforced layer to evaluate the forming behavior and matrix flow. Based on these findings, the most influential parameters and parameter interactions during the deep drawing of fiber metal laminates with a low viscous matrix are identified, and their influence on the process is discussed.
AB - Multi-materials, such as fiber metal laminates, offer several advantages over monolithic materials, i.e. the possibility of tailoring the material properties. The in-situ hybridization process combines deep drawing and thermoplastic resin transfer moulding (T-RTM) to manufacture fiber metal laminates with complex geometries in a single process step. However, due to strong fluid-structure interactions between fabric, metal and the low viscous matrix during forming and infiltration, other parameters besides those in pure metal deep drawing affect the process and part quality. Therefore, the influence of blank holder force, injection time, punch velocity and matrix viscosity on the process is experimentally investigated on part scale. The manufactured parts are subsequently assessed by measuring the metal blank surface strains and the thickness of the glass fiber reinforced layer to evaluate the forming behavior and matrix flow. Based on these findings, the most influential parameters and parameter interactions during the deep drawing of fiber metal laminates with a low viscous matrix are identified, and their influence on the process is discussed.
KW - Engineering
KW - Deep drawing
KW - Fiber metal laminates
KW - Multi-materials
UR - https://link.springer.com/chapter/10.1007/978-3-031-40920-2_14
UR - http://www.scopus.com/inward/record.url?scp=85173579497&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/5289556b-16d6-34cf-be18-9566c48d850b/
U2 - 10.1007/978-3-031-40920-2_14
DO - 10.1007/978-3-031-40920-2_14
M3 - Article in conference proceedings
SN - 978-3-031-40919-6
VL - 2
T3 - Lecture Notes in Mechanical Engineering (LNME)
SP - 124
EP - 134
BT - Proceedings of the 14th International Conference on the Technology of Plasticity - Current Trends in the Technology of Plasticity - ICTP 2023 - Volume 2
A2 - Mocellin, Katia
A2 - Bouchard, Pierre-Olivier
A2 - Bigot, Régis
A2 - Balan, Tudor
PB - Springer
CY - Cham
T2 - 14th International Conference on the Technology of Plasticity - ICTP 2023
Y2 - 24 September 2023 through 29 September 2023
ER -