Details
| Original language | English |
|---|---|
| Pages (from-to) | 443-449 |
| Number of pages | 7 |
| Journal | Procedia Manufacturing |
| Volume | 29 |
| Early online date | 4 Apr 2019 |
| Publication status | Published - 2019 |
| Event | 18th International Conference on Sheet Metal, SHEMET 2019 - Leuven, Belgium Duration: 15 Apr 2019 → 17 Apr 2019 |
Abstract
The automotive and aviation industry has to achieve significant weight reduction in order to fulfil legal obligations. This leads to an increasing use of new materials or new material combinations like fibre-reinforced plastics (FRP) as they provide a high lightweight potential due to the combination of low density and high tensile strength. Meanwhile pre-impregnated sheets with a thermoplastic matrix reinforced with woven carbon fibres are commercially available. This has led in a significant cost reduction and hence, the FRP have become affordable for large scale production. The material properties, in particular the forming and failure behaviour of the FRP, differ strongly from that of conventional metal materials like steel or aluminium. Therefore, new material characterisation techniques, investigation methods as well as numerical models are required. The main focus of this paper lies on the development of a non-orthogonal material model for the FRP, its implementation in a commercial FE-software as well as on the use of a combined experimental-numerical procedure for material characterisation. Since the properties of these materials are strongly temperature dependent, the forming process of reinforced thermoplastics is typically carried out at elevated temperatures. Thus, temperature sensitivity has to be taken into account during experimental testing as well as in the model approach. The model parameterisation is carried out based on an iterative numerical optimization procedure. For this purpose, the experimentally obtained results are investigated by means of digital image correlation and linked with the numerical model in combination with an automated optimization process.
Keywords
- Fabric-reinforced thermoplastics, FE-modelling, Material characterisation
ASJC Scopus subject areas
- Engineering(all)
- Industrial and Manufacturing Engineering
- Computer Science(all)
- Artificial Intelligence
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In: Procedia Manufacturing, Vol. 29, 2019, p. 443-449.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Experimental and numerical characterization method for forming behavior of thermoplastics reinforced with woven fabrics
AU - Behrens, Bernd Arno
AU - Chugreev, Alexander
AU - Wester, Hendrik
N1 - Funding Information: This work is funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) through the International Research Training Group 1627 “Virtual Materials and Structures and their Validation”.
PY - 2019
Y1 - 2019
N2 - The automotive and aviation industry has to achieve significant weight reduction in order to fulfil legal obligations. This leads to an increasing use of new materials or new material combinations like fibre-reinforced plastics (FRP) as they provide a high lightweight potential due to the combination of low density and high tensile strength. Meanwhile pre-impregnated sheets with a thermoplastic matrix reinforced with woven carbon fibres are commercially available. This has led in a significant cost reduction and hence, the FRP have become affordable for large scale production. The material properties, in particular the forming and failure behaviour of the FRP, differ strongly from that of conventional metal materials like steel or aluminium. Therefore, new material characterisation techniques, investigation methods as well as numerical models are required. The main focus of this paper lies on the development of a non-orthogonal material model for the FRP, its implementation in a commercial FE-software as well as on the use of a combined experimental-numerical procedure for material characterisation. Since the properties of these materials are strongly temperature dependent, the forming process of reinforced thermoplastics is typically carried out at elevated temperatures. Thus, temperature sensitivity has to be taken into account during experimental testing as well as in the model approach. The model parameterisation is carried out based on an iterative numerical optimization procedure. For this purpose, the experimentally obtained results are investigated by means of digital image correlation and linked with the numerical model in combination with an automated optimization process.
AB - The automotive and aviation industry has to achieve significant weight reduction in order to fulfil legal obligations. This leads to an increasing use of new materials or new material combinations like fibre-reinforced plastics (FRP) as they provide a high lightweight potential due to the combination of low density and high tensile strength. Meanwhile pre-impregnated sheets with a thermoplastic matrix reinforced with woven carbon fibres are commercially available. This has led in a significant cost reduction and hence, the FRP have become affordable for large scale production. The material properties, in particular the forming and failure behaviour of the FRP, differ strongly from that of conventional metal materials like steel or aluminium. Therefore, new material characterisation techniques, investigation methods as well as numerical models are required. The main focus of this paper lies on the development of a non-orthogonal material model for the FRP, its implementation in a commercial FE-software as well as on the use of a combined experimental-numerical procedure for material characterisation. Since the properties of these materials are strongly temperature dependent, the forming process of reinforced thermoplastics is typically carried out at elevated temperatures. Thus, temperature sensitivity has to be taken into account during experimental testing as well as in the model approach. The model parameterisation is carried out based on an iterative numerical optimization procedure. For this purpose, the experimentally obtained results are investigated by means of digital image correlation and linked with the numerical model in combination with an automated optimization process.
KW - Fabric-reinforced thermoplastics
KW - FE-modelling
KW - Material characterisation
UR - http://www.scopus.com/inward/record.url?scp=85076189317&partnerID=8YFLogxK
U2 - 10.1016/j.promfg.2019.02.160
DO - 10.1016/j.promfg.2019.02.160
M3 - Conference article
AN - SCOPUS:85076189317
VL - 29
SP - 443
EP - 449
JO - Procedia Manufacturing
JF - Procedia Manufacturing
T2 - 18th International Conference on Sheet Metal, SHEMET 2019
Y2 - 15 April 2019 through 17 April 2019
ER -