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.
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 *