Mathematical Formulations for Predicting Pressure Drop in Solid–Liquid Slurry Flow through a Straight Pipe Using Computational Modeling

The study establishes two mathematical formulations to predict the pressure drop in a solid–liquid slurry flowing through a straight pipe. Employing the Eulerian–Eulerian RNG k-ε model, the computational investigation uses water as the carrier fluid and glass beads as solid particles. The analysis spans various particle sizes (d50 = 75–175 μm), volumetric concentrations (Cvf = 10–50%), and velocities (Vm = 1–5 m/s). The first model, developed using the MATLAB curve-fitting tool, is complemented by a second empirical equation derived through non-polynomial mathematical formulation. Results from both models are validated against existing experimental and computational data, demonstrating accurate predictions for d50 = 75–175 µm particles within a Reynolds number range of 20,000 ≤ Re ≤ 320,000.

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Publication Details

Journal
Mathematics
Published
2024-09-15
DOI
https://doi.org/10.3390/math12182879
Citations
4
Primary Topic
Granular flow and fluidized beds
Type
article
Field-Weighted Citation Impact
1.50
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article

Mathematical Formulations for Predicting Pressure Drop in Solid–Liquid Slurry Flow through a Straight Pipe Using Computational Modeling

Om Parkash, Nay Oo, Tanuj Joshi, Ralph Kristoffer B. Gallegos et al.
4 citations
Mathematics
Granular flow and fluidized beds
1.50
article

Mathematical Formulations for Predicting Pressure Drop in Solid–Liquid Slurry Flow through a Straight Pipe Using Computational Modeling

Om Parkash, Nay Oo, Tanuj Joshi, Ralph Kristoffer B. Gallegos, Gopal Krishan, Abhinav Gupta
article en
4 citations

Abstract

The study establishes two mathematical formulations to predict the pressure drop in a solid–liquid slurry flowing through a straight pipe. Employing the Eulerian–Eulerian RNG k-ε model, the computational investigation uses water as the carrier fluid and glass beads as solid particles. The analysis spans various particle sizes (d50 = 75–175 μm), volumetric concentrations (Cvf = 10–50%), and velocities (Vm = 1–5 m/s). The first model, developed using the MATLAB curve-fitting tool, is complemented by a second empirical equation derived through non-polynomial mathematical formulation. Results from both models are validated against existing experimental and computational data, demonstrating accurate predictions for d50 = 75–175 µm particles within a Reynolds number range of 20,000 ≤ Re ≤ 320,000.

MathematicsVol. 12(18)
University of the Philippines Los Baños (PH), Wellington Institute of Technology (NZ), Ara Institute of Canterbury (NZ), Monash University (AU)
Clean water and sanitation
Openalex Percentile: Top 20%
Granular flow and fluidized beds
1.50
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Mathematical Formulations for Predicting Pressure Drop in Solid–Liquid Slurry Flow through a Straight Pipe Using Computational Modeling — Om Parkash, Nay Oo, et al. · Mathematics (2024) | TGRS Research Map | TGRS