| 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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Emri, Igor
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2022Time-Dependent Properties of Multimodal Polyoxymethylene based binder for Powder Injection Molding ; Časovno odvisne lastnosti multimodalnih, na polioksimetilenu temelječih veziv praškov za brizganje
- 2022Powder Injection Molding an Alternative Method in the Manufacturing of Parts for Vehicles ; Injekcijsko brizganje prahu, alternativna metoda za proizvodnjo delov za vozila
- 2020Needleless electrospinning of PA6 fibers ; Brezigelno elektropredenje vlaken PA6: vpliv koncentracije raztopine in električne napetosti na premer vlakencitations
- 2018Models to predict the viscosity of metal injection molding feedstock materials as function of their formulationcitations
- 2018Mechanical properties and drug permeability of the PA6 membranes prepared by immersion precipitation from PA6 - formic acid - water systemcitations
- 2016Models to Predict the Viscosity of Metal Injection Molding Feedstock Materials as Function of Their Formulationcitations
- 2009Structure and Conditioning Effect on Mechanical Behavior of Poly(vinyl alcohol)/Calcium Lactate Biocompositescitations
- 2006The relation between relaxed enthalpy and volume during physical aging of amorphous polymers and seleniumcitations
- 2006Aging bulk modulus obtained from enthalpy and volume relaxations of a-PMMA and its blends with PEOcitations
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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.