2016
DOI: 10.3390/met6060129
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Models to Predict the Viscosity of Metal Injection Molding Feedstock Materials as Function of Their Formulation

Abstract: 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 … Show more

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Cited by 43 publications
(27 citation statements)
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References 40 publications
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“…The major result concerns the effect of increasing powder concentration or adding MWCNT onto the increase in the feedstocks' torque values, which is consistent with other studies [22][23][24]. As expected, the increase of powder concentration lead to higher torque value [25]; the feedstocks with 65 vol.% of powders presented the maximum torque values. Table 3.…”
Section: Optimization Process: Effects Of Powder Typesupporting
confidence: 89%
“…The major result concerns the effect of increasing powder concentration or adding MWCNT onto the increase in the feedstocks' torque values, which is consistent with other studies [22][23][24]. As expected, the increase of powder concentration lead to higher torque value [25]; the feedstocks with 65 vol.% of powders presented the maximum torque values. Table 3.…”
Section: Optimization Process: Effects Of Powder Typesupporting
confidence: 89%
“…To reduce assembling costs and reach more flexibility, magnetically isotropic powder is preferred. The high filler content increases the viscosity of the melted compound 7 . To avoid clogging of the nozzle, the matrix polymer should be of a high flowable material; good mechanical properties are an important aspect, too.…”
Section: Introductionmentioning
confidence: 99%
“…For lower powder loadings, the Frankel-Acrivos model [6] provides a better fit to the measured data; for higher powder loadings, the Krieger-Dougherty model [9] is better. It has to be emphasized that the fit is dependent also on the shear rate at which the data were measured and other models available in the literature might fit better [12].…”
Section: Powder Loadingmentioning
confidence: 99%
“…One main point is the shear rate at which the transition from Newtonian to shear thinning behavior takes place. This shear rate is a function of the powder loading φ p and cannot be described by the models mentioned before [12]. Geisbüsch [42] used a model which is based on the fact that the binder is sheared more when more powder is in the feedstock.…”
Section: Powder Loadingmentioning
confidence: 99%
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