Computational Analysis of Pipe Roughness Influence on Slurry Flow Dynamics

Slurry transportation is an essential process in numerous industrial applications, widely studied for its efficiency in material conveyance. Despite substantial research, the impact of pipe wall roughness on critical metrics such as pressure drop, specific energy consumption (SEC), and the Nusselt number remains relatively underexplored. This study provides a detailed analysis using a three-dimensional computational model of a slurry pipeline, with a 0.0549 m diameter and 3.8 m length. The model employs an Eulerian multiphase approach coupled with the RNG k-ε turbulence model, assessing slurry concentrations Cw = 40–60% (by weight). Simulations were conducted at flow velocities Vm = 1–5 m/s, with pipe roughness (Rh) ranging between 10 and 50 µm. Computational findings indicate that both pressure drop and SEC increase proportionally with roughness height, Vm, and Cw. Interestingly, the Nusselt number appears unaffected by roughness height, although it rises corresponds to Vm, and Cw. These insights offer a deeper understanding of slurry pipeline dynamics, informing strategies to enhance operational efficiency and performance across various industrial contexts.

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Publication Details

Journal
Computation
Published
2025-03-04
DOI
https://doi.org/10.3390/computation13030065
Citations
1
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
1.33
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Computational Analysis of Pipe Roughness Influence on Slurry Flow Dynamics

Om Parkash, Tanuj Joshi, Ralph Kristoffer B. Gallegos, Gopal Krishan
1 citations
Computation
Granular flow and fluidized beds
1.33
article

Computational Analysis of Pipe Roughness Influence on Slurry Flow Dynamics

Om Parkash, Tanuj Joshi, Ralph Kristoffer B. Gallegos, Gopal Krishan
article en
1 citations

Abstract

Slurry transportation is an essential process in numerous industrial applications, widely studied for its efficiency in material conveyance. Despite substantial research, the impact of pipe wall roughness on critical metrics such as pressure drop, specific energy consumption (SEC), and the Nusselt number remains relatively underexplored. This study provides a detailed analysis using a three-dimensional computational model of a slurry pipeline, with a 0.0549 m diameter and 3.8 m length. The model employs an Eulerian multiphase approach coupled with the RNG k-ε turbulence model, assessing slurry concentrations Cw = 40–60% (by weight). Simulations were conducted at flow velocities Vm = 1–5 m/s, with pipe roughness (Rh) ranging between 10 and 50 µm. Computational findings indicate that both pressure drop and SEC increase proportionally with roughness height, Vm, and Cw. Interestingly, the Nusselt number appears unaffected by roughness height, although it rises corresponds to Vm, and Cw. These insights offer a deeper understanding of slurry pipeline dynamics, informing strategies to enhance operational efficiency and performance across various industrial contexts.

ComputationVol. 13(3)
University of the Philippines Los Baños (PH), Wellington Institute of Technology (NZ), Monash University (AU)
Openalex Percentile: Top 26%
Granular flow and fluidized beds
1.33
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Computational Analysis of Pipe Roughness Influence on Slurry Flow Dynamics — Om Parkash, Tanuj Joshi, et al. · Computation (2025) | TGRS Research Map | TGRS