Sentence examples for maximum particle fraction from inspiring English sources

This study introduces an inter-particle spacing parameter, δ, based on particle size (D), particle volume fraction and maximum particle fraction (ϕm).

( phi_{text{m}} ) is the maximum particle volume fraction whose value is determined experimentally.

The maximum particle volume fraction (0.74) was attained for a mixture having 67% of coarse particles.

Two different particle rheology models are tested in combination with two different values of the maximum particle volume fraction.

where ϕm is the maximum particle volume fraction and is the intrinsic viscosity, whose typical value for monodisperse suspensions of hard spheres is 2.5.

The model is stated as: frac{{mu_{text{nf}} }}{{mu_{text{f}} }} = left[ { 1- frac{phi }{{phi_{text{m}} }}} right]^{{ - eta phi_{text{m}} }} (3)where ( phi_{text{m}} ) is the maximum particle packing fraction, which varies from 0.495 to 0.54 and is approximately 0.605 at higher shear rates, and ( eta ) is the intrinsic viscosity whose value is 2.5 for monodispersed suspensions of hard spheres.

Using Rotahaler®, the maximum fine particle fraction (FPFmax) for all three powders was only 15 wt.%, attained at the highest flow of 120 l/min.

The maximum fine particle fraction (FPF) of about 58.3% was obtained when water/isopropyl alcohol 7 3 system and 15 20% (w/w) of leu were used, compared to a FPF value of 13.4% for neat G-dried powders.

The results showed that the maximum fine particle fraction (FPF) and the minimum particle size was belonged to formulation in which the percentage of leucine was 20% with respect to the total solid content and 50% of mannitol was used during spray drying, while the remaining 50% of it was applied in the physical mixing process.

Regarding the model, to take into account the maximum packing density, Liu proposed a model to estimate the theoretically maximum particle volume fractions ( ϕ max ) that are allowable for a given suspension at which the concrete viscosity approaches infinity.

The initial volume-based PSD of giant reed showed a greater fraction of large particles and a larger maximum particle size compared to spruce, which was in accordance with visual observation.