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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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Blarr, Juliane
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Publications (7/7 displayed)
- 2024Continuous Simulation of a Continuous-Discontinuous Fiber Reinforced Thermoplastic (CoDiCoFRTP) Compression Molding Process
- 2024Crystallization and crystal morphology of polymers: A multiphase-field study
- 2024Deep convolutional generative adversarial network for generation of computed tomography images of discontinuously carbon fiber reinforced polymer microstructurescitations
- 2023Implementation and comparison of algebraic and machine learning based tensor interpolation methods applied to fiber orientation tensor fields obtained from CT imagescitations
- 2023Continuous simulation of a continuous-discontinuous fiber-reinforced thermoplastic (CODICOFRTP) Compression molding process
- 2022Generation of Initial Fiber Orientation States for Long Fiber Reinforced Thermoplastic Compression Molding Simulation
- 2022Application of a Tensor Interpolation Method on the Determination of Fiber Orientation Tensors From Computed Tomography Images
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article
Continuous Simulation of a Continuous-Discontinuous Fiber Reinforced Thermoplastic (CoDiCoFRTP) Compression Molding Process
Abstract
A virtual process chain for compression molded long fiber-reinforced thermoplastic (LFT) composites with co-molded continuous fiber-reinforced thermoplastics (CoFRTP) consisting of a compression molding and structural simulation step is established. The compression molding simulation considers the three-dimensional initial fiber orientation distribution of the semi-finished LFT plastificate and applies the Moldflow rotary diffusion (MRD) model to predict the reorientation of fibers. The predicted fiber orientations are compared to experimental results obtained from micro computed tomography (µCT) scans. The mapping step from molding to structural simulation allows the transfer of higher order anisotropy. Challenges in homogenizing the effective elastic material behavior of the direct (D-) LFT are discussed. The structural simulation is validated by means of coupon-level fourpoint bending tests on a D-LFT tape sandwich. The predicted bending stiffness shows higher accuracy if the mapped fiber orientation data are considered.