Sentence examples for predictions for particle from inspiring English sources
In particular, model predictions for particle behavior through the draft tube are sensitive to the values of these parameters.
For falling particles, the new history force kernel shows good predictions for particle Reynolds numbers ranging from 9 to 853 and density ratios from 1.17 to 9.32.
Implementing better cross section models in CEM and MCNP6 should yield improved predictions for particle spectra and total production cross sections, among other results.
When combined with a standard expression for viscous torque on a rolling particle, the capillary torque expressions are found to yield predictions for particle terminal velocity that are in good agreement with experimental data for a particle rolling down an inclined surface.
Predictions for particles show that the secondary flow established in the duct cross-section plays an important role in the particle deposition process.
Predictions for different particle sizes, furnace temperatures and moisture contents were compared with measurements and they agree reasonably well.
The reaction rate modeling in similar, previous studies are improved for ramjet combustion chambers and this model provides better predictions for all particle sizes.
In this paper we build upon earlier work and other published research which uses finite element methods to quantitatively calculate flow field data and trajectory predictions for single particles and drops in a two phase system.
The mathematical model obtained was validated for prediction of particle size.
For the first time, this study demonstrates the use of a reduced order model (ROM) within the mixing unit for prediction of particle velocities that is coupled with a population balance model (PBM) of the mixer to quantify macroscopic properties.
A unified hybrid constitutive model is proposed for the through-thickness thermal conductivity prediction for the particle embedded woven fabric system, incorporating a combination of generalized rule of mixtures and Pilling model to address a wide range of particle volumes and particle and fiber thermal conductivities.
