| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Andrä, Heiko
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (19/19 displayed)
- 2024Exploring VAE-driven implicit parametric unit cells for multiscale topology optimizationcitations
- 2023Image-based microstructural simulation of thermal conductivity for highly porous wood fiber insulation boardscitations
- 2023Factors influencing the dynamic stiffness in short‐fiber reinforced polymers
- 2022Highly Shrinkable Objects as Obtained from 4D Printingcitations
- 2022A space-time upscaling technique for modeling high-cycle fatigue-damage of short-fiber reinforced compositescitations
- 2022Multi-scale fatigue model to predict stiffness degradation in short-fiber reinforced composites
- 2022Accounting for viscoelastic effects in a multiscale fatigue model for the degradation of the dynamic stiffness of short-fiber reinforced thermoplastics
- 2022Recognizing the Potential of 4D-Printing
- 2021Integrative Simulation für faserverstärkte Bauteile/Integrative simulation for fiber-reinforced components
- 2021A multiscale high-cycle fatigue-damage model for the stiffness degradation of fiber-reinforced materials based on a mixed variational framework
- 2021Simulation Model for Direct Laser Writing of Metallic Microstructures Composed of Silver Nanoparticlescitations
- 2021Efficient Characterization and Modelling of the Nonlinear Behaviour of LFT for Crash Simulationscitations
- 2021A computational multi-scale model for the stiffness degradation of short-fiber reinforced plastics subjected to fatigue loadingcitations
- 2020The effective thermal conductivity of double-reinforced compositescitations
- 2019Material characterization and compression molding simulation of CF-SMC materials in a press rheometry testcitations
- 2017Virtual characterization of MDF fiber networkcitations
- 2014Microsopic Simulation of Thermally‐Induced 2nd Order Eigenstresses in AlSi‐Alloys
- 2012Constitutive models for static granular systems and focus to the Jiang-Liu hyperelastic law
- 2002Macroscopic modeling of shape memory alloys under non-proportional thermo-mechanical loadingscitations
Places of action
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article
Material characterization and compression molding simulation of CF-SMC materials in a press rheometry test
Abstract
S.467-472 ; The compression molding of sheet molding compounds (SMCs) is typically thought of as a fluid mechanics problem. The usage of CF-SMC with high fiber volume content (over 50%) and long fiber reinforcement structures (up to 50 mm) challenges the feasibility of this point of view. In this work a user-defined material model based on a solid mechanics formulation is developed in LS-DYNA®. The material model is built on a modular principle where the different influence factors caused by the material characteristics form building blocks. The idea is that these blocks are represented by simple mathematical models and interact in a way that forms the overall behavior of the SMC material. To analyze the behavior of the SMC material and create input parameters for the material model it is necessary to perform some kind of material characterization experiment. This paper presents the press rheometry test which can be perform in two variations, differing in terms of specimen size and shape and degree of coverage in the tool. Here the material response to the compression molding can be analyzed and by the visualization of the flow front development the anisotropy and homogeneity of the material can be assessed. For a comparison between the material model and reality the two variations of the press rheometry test are simulated. The simulation results show a good prediction of the experiments. The differences between experiment and simulation can be used to further improve the model in a later process.