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

Authors: Manoj Kumar Gopaliya; Deo Raj Kaushal

Addresses: Department of Mechanical Engineering, C.V. Raman Global University, Bhubaneswar, Odisha, India ' Department of Civil Engineering, Indian Institute of Technology Delhi, New Delhi, India

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.

Keywords: local solid concentration; slurry flows; simulations; computational fluid dynamics; CFD; pipeline; numerical prediction; curve fitting; contours; multiphase flows; Eulerian model; correlations.

DOI: 10.1504/PCFD.2022.125736

Progress in Computational Fluid Dynamics, An International Journal, 2022 Vol.22 No.5, pp.303 - 316

Accepted: 31 Jul 2021
Published online: 27 Sep 2022 *

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