Are Drag Models Adequate? A Comprehensive Analysis of Drag Modelling for Regular and Irregular Particles

Particles travelling within and interacting with any fluid media are found in both natural phenomena and industrial processes. Through these interactions, the particles experience a drag force, heavily influenced by their morphology, and significantly affecting their dynamics. This study examines the relationship between particle morphology and the drag force exerted on them, using both empirical models and computational simulations. The findings indicate that for regular and irregular particles of diverse morphologies, a combination of existing empirical models can predict the drag force within a 40% error margin. However, these models may fall short of meeting the accuracy demands in certain applications. To address this, the study provides clear guidelines for selecting the most suitable drag model based on particle morphology and flow regime.

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Publication Details

Journal
Powders
Published
2025-11-05
DOI
https://doi.org/10.3390/powders4040029
Primary Topic
Particle Dynamics in Fluid Flows
Type
article
Field-Weighted Citation Impact
0.00

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article

Are Drag Models Adequate? A Comprehensive Analysis of Drag Modelling for Regular and Irregular Particles

Sadegh Nadimi, Sadaf Maramizonouz
Powders
Particle Dynamics in Fluid Flows
article

Are Drag Models Adequate? A Comprehensive Analysis of Drag Modelling for Regular and Irregular Particles

Sadegh Nadimi, Sadaf Maramizonouz
article en

Abstract

Particles travelling within and interacting with any fluid media are found in both natural phenomena and industrial processes. Through these interactions, the particles experience a drag force, heavily influenced by their morphology, and significantly affecting their dynamics. This study examines the relationship between particle morphology and the drag force exerted on them, using both empirical models and computational simulations. The findings indicate that for regular and irregular particles of diverse morphologies, a combination of existing empirical models can predict the drag force within a 40% error margin. However, these models may fall short of meeting the accuracy demands in certain applications. To address this, the study provides clear guidelines for selecting the most suitable drag model based on particle morphology and flow regime.

PowdersVol. 4(4)
Newcastle University (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 59%
Particle Dynamics in Fluid Flows
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