Experimental and numerical characterization method for forming behavior of thermoplastics reinforced with woven fabrics

authored by: Bernd Arno Behrens, Alexander Chugreev, Hendrik Wester
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.
Organisation(s): Institute of Metal Forming and Metal Forming Machines
Type: Conference article
Journal: Procedia Manufacturing
Volume: 29
Pages: 443-449
No. of pages: 7
Publication date: 2019
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Industrial and Manufacturing Engineering, Artificial Intelligence
Electronic version(s): https://doi.org/10.1016/j.promfg.2019.02.160 (Access: Open)
: Details in the research portal "Research@Leibniz University"

BibTeX

@article{a29550743c474917beb817acbb62502a,
title = "Experimental and numerical characterization method for forming behavior of thermoplastics reinforced with woven fabrics",
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",
author = "Behrens, {Bernd Arno} and Alexander Chugreev and Hendrik Wester",
note = "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”.; 18th International Conference on Sheet Metal, SHEMET 2019 ; Conference date: 15-04-2019 Through 17-04-2019",
year = "2019",
doi = "10.1016/j.promfg.2019.02.160",
language = "English",
volume = "29",
pages = "443--449",
journal = "Procedia Manufacturing",
publisher = "Elsevier BV",
}