Numerical prediction of solid-liquid slurry flows and derivation of simulation-based correlations for local solid concentration

Autor: Gopaliya, Manoj Kumar, Kaushal, Deo Raj
Zdroj: Progress in Computational Fluid Dynamics, an International Journal; 2022, Vol. 22 Issue: 5 p303-316, 14p
Abstrakt: This paper presents correlations for predicting local solid concentration for pseudo-homogeneous and mildly heterogeneous solid-liquid slurry flows through horizontal pipelines using curve fitting techniques applied on exhaustive simulation data. These data are obtained using a duly validated Eulerian multiphase model whose applicability is ascertained for the slurry flow cases under consideration. The ranges of geometric and working input parameters of solid-liquid slurry flow analysed during the present research work are quite comprehensive and wide which increases the applicability realm of the derived correlations. These correlations are also verified against a new set of slurry flow cases and ascertained their accuracy.
Databáze: Supplemental Index