Numerical prediction of solid-liquid slurry flows and derivation of simulation-based correlations for local solid concentration
by Manoj Kumar Gopaliya; Deo Raj Kaushal
Progress in Computational Fluid Dynamics, An International Journal (PCFD), Vol. 22, No. 5, 2022

Abstract: 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.

Online publication date: Tue, 27-Sep-2022

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