Simulation-based digital twin for the manufacturing of thermoplastic composites

authored by: André Hürkamp, Ralf Lorenz, Tim Ossowski, Bernd Arno Behrens, Klaus Dröder
Abstract: The bond strength between a thermoformed fibre reinforced thermoplastic sheet and an injected polymer is the limiting factor for the structural integrity of overmoulded thermoplastic composites. In this contribution, a simulation based digital twin of the thermoforming process is presented. From numerical parametric studies a reduced order model based on Proper Orthogonal Decomposition (POD) is developed. The combination with machine learning methods enables the real-time computation of arbitrary physical reliable temperature fields with sufficient accuracy to be used for design purposes and as inline quality gates.
Organisation(s): Institute of Metal Forming and Metal Forming Machines
External Organisation(s): Technische Universität Braunschweig
Open Hybrid LabFactory E.V.
Type: Conference article
Journal: Procedia CIRP
Volume: 100
Pages: 1-6
No. of pages: 6
ISSN: 2212-8271
Publication date: 2021
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Control and Systems Engineering, Industrial and Manufacturing Engineering
Electronic version(s): https://doi.org/10.1016/j.procir.2021.05.001 (Access: Open)
: Details in the research portal "Research@Leibniz University"

BibTeX

@article{2a0b5cd51ac24c838276f1f0cfc2c131,
title = "Simulation-based digital twin for the manufacturing of thermoplastic composites",
abstract = "The bond strength between a thermoformed fibre reinforced thermoplastic sheet and an injected polymer is the limiting factor for the structural integrity of overmoulded thermoplastic composites. In this contribution, a simulation based digital twin of the thermoforming process is presented. From numerical parametric studies a reduced order model based on Proper Orthogonal Decomposition (POD) is developed. The combination with machine learning methods enables the real-time computation of arbitrary physical reliable temperature fields with sufficient accuracy to be used for design purposes and as inline quality gates.",
keywords = "Digital Twin, Finite Element Method, Reduced Order Modelling, Thermoforming, Thermoplastic Composites",
author = "Andr{\'e} H{\"u}rkamp and Ralf Lorenz and Tim Ossowski and Behrens, {Bernd Arno} and Klaus Dr{\"o}der",
note = "Funding Information: This research and results published are based on the research program Mobilise funded by the Ministry of Science and Culture of Lower Saxony and the Volkswagen Foundation and the IGF-Project “Integrated process simulation of thermoforming and injection moulding“ of the European Research Association for Sheet Metal Working (EFB e.V.) funded by the Federal Ministry of Economics and Energy (BMWi) under the funding number 20524N of the German Federation of Industrial Research Associations (AiF). The authors gratefully acknowledge this financial support.; 31st CIRP Design Conference 2021, CIRP Design 2021 ; Conference date: 19-05-2021 Through 21-05-2021",
year = "2021",
doi = "10.1016/j.procir.2021.05.001",
language = "English",
volume = "100",
pages = "1--6",
journal = "Procedia CIRP",
issn = "2212-8271",
publisher = "Elsevier BV",
}