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Many correlations were developed to predict particle velocity in steady state zone.
The dust loss model is coupled to a Lagrangian particle-tracking model to predict particle trajectories.
Also, there is currently an absence of a universal expression to predict particle entrainment in both gases and liquids.
Proposed mathematical model is developed to predict particle size affected by different parameters and validated with experimental results.
Fuel performance models used to predict particle behavior have traditionally been one-dimensional models that focus on this failure mechanism.
A simple mathematical model was also developed to predict particle deposition on rough surfaces by diffusion mechanism on extended surfaces.
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The Eulerian Lagrangian computational procedure is used to predict particles tracking in the cyclones.
Zeta potential values are used to predict particles' stability, stable particles presenting a zeta potential more negative than -30 mV or more positive than +30 mV [16].
The Eulerian-Lagrangian computational procedure is used to predict particles tracking in the cyclones and the velocity fluctuations are simulated using the Discrete Random Walk (DRW).
Combining the empirical model for predicting particle shape with the size distribution model, a flakiness prediction model is proposed.
The first predicted particle is set as initial representative particle.
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