| 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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Bek, Marko
Chalmers University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (16/16 displayed)
- 2023Tribological behaviour of green wood-based unrecycled and recycled polypropylene compositescitations
- 2023An Intriguing Array of Extrudate Patterns in Long‐Chain Branched Polymers During Extrusion
- 2022Long-term creep compliance of wood polymer compositescitations
- 2022Long-Term Creep Compliance of Wood Polymer Composites: Using Untreated Wood Fibers as a Filler in Recycled and Neat Polypropylene Matrixcitations
- 2021Insight into the surface properties of wood fiber-polymer compositescitations
- 2021Insight into the Surface Properties of Wood Fiber-Polymer Compositescitations
- 2021Neural networks for predicting the temperature-dependent viscoelastic response of PEEK under constant stress rate loading
- 2020Effect of Wood Fiber Loading on the Chemical and Thermo-Rheological Properties of Unrecycled and Recycled Wood-Polymer Compositescitations
- 2020Rheological behaviour of highly filled materials for injection moulding and additive manufacturingcitations
- 2020Needleless electrospinning of PA6 fibers ; Brezigelno elektropredenje vlaken PA6: vpliv koncentracije raztopine in električne napetosti na premer vlakencitations
- 2020Rheological Behaviour of Highly Filled Materials for Injection Moulding and Additive Manufacturingcitations
- 2020Effect of wood fiber loading on the chemical and thermo-rheological properties of unrecycled and recycled wood-polymer compositescitations
- 2018Models to predict the viscosity of metal injection molding feedstock materials as function of their formulationcitations
- 2018Influence of filler types onto the viscosity of highly filled polymers.
- 2018Flow characteristics of highly filled polymers for powder injection molding
- 2016Models to Predict the Viscosity of Metal Injection Molding Feedstock Materials as Function of Their Formulationcitations
Places of action
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article
Models to Predict the Viscosity of Metal Injection Molding Feedstock Materials as Function of Their Formulation
Abstract
The viscosity of feedstock materials is directly related to its processability during injection molding; therefore, being able to predict the viscosity of feedstock materials based on the individual properties of their components can greatly facilitate the formulation of these materials to tailor properties to improve their processability. Many empirical and semi-empirical models are available in the literature that can be used to predict the viscosity of polymeric blends and concentrated suspensions as a function of their formulation; these models can partly be used also for metal injection molding binders and feedstock materials. Among all available models, we made a narrow selection and used only simple models that do not require knowledge of molecular weight or density and have parameters with physical background. In this paper, we investigated the applicability of several of these models for two types of feedstock materials each one with different binder composition and powder loading. For each material, an optimal model was found, but each model was different; therefore, there is not a universal model that fits both materials investigated, which puts under question the underlying physical meaning of these models.