Chemical Technology, Volume (18), No (6), Year (2015-3) , Pages (201-209)

Title : ( Prediction of solid volume fraction and mean density distribution isograms in slurry flow in a pipe, using ASM model )

Authors: Vajiheh Daei , Nasser Saghatoleslami ,

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Although many works has been conducted in the field of solid; however, no work has been done on the volume fraction and density distributions, velocity profiles and mean skin friction coefficient distributions in the entrance region of solid. Therefore, in this work a simplified 3-D algebraic slip mixture model (ASM) was adopted for the determination of volume fraction and velocity isograms in slurry flow in a horizontal pipe. In order to obtain this objective, an assumption of fully developed flow was made and the RNG k­e model for the turbulent flow with the algebraic slip mixture model was utilised. To solve the flow governing equations and discretize the computation domain, an unstructured (block- structured) with non-uniform grid was chosen using a control volume finite difference method (CVFDM). In order to validate the numerical mean pressure gradients obtained in this study, it was compared with the experimental data available in the literature. The result of this study reveals that there exist a good compatibility between the present findings and the experimental data available in the literature.

Keywords

Algebraic slip mixture; Control volume finite difference method; Entrance region; Fully developed turbulent
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@article{paperid:1047389,
author = {Daei, Vajiheh and Saghatoleslami, Nasser},
title = {Prediction of solid volume fraction and mean density distribution isograms in slurry flow in a pipe, using ASM model},
journal = {Chemical Technology},
year = {2015},
volume = {18},
number = {6},
month = {March},
issn = {0974-7443},
pages = {201--209},
numpages = {8},
keywords = {Algebraic slip mixture; Control volume finite difference method; Entrance region; Fully developed turbulent flow.},
}

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%0 Journal Article
%T Prediction of solid volume fraction and mean density distribution isograms in slurry flow in a pipe, using ASM model
%A Daei, Vajiheh
%A Saghatoleslami, Nasser
%J Chemical Technology
%@ 0974-7443
%D 2015

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