A CFD integrated drying model for improving drying conditions in industry Scale dryers

• Integration of CFD with drying models for better prediction. • 2D and 3D CFD models for simultaneous drying of multiple samples. • Higher velocity significantly enhances moisture removal and temperature uniformity. • Sample arrangement influences drying rate, highlighting non-uniformity in air velocity and temperature. Drying is a complex process involving simultaneous momentum, heat and mass transfer driven by gradients in pressure, temperature, moisture concentration, and velocity. While recent efforts have integrated drying models with computational fluid dynamics (CFD) to improve process understanding, most existing models focus on convective drying of single samples. There remains a critical need for further studies to optimize drying conditions using CFD-integrated models for multiple samples under diverse inlet air velocities. In this study, a CFD-integrated drying model was developed to investigate drying uniformity for multiple samples under various conditions. This includes investigating whether a meshed inlet can enhance airflow distribution, thereby improving both drying uniformity and drying rates. Moreover, the study examined the uniformity of air velocity, moisture content, and sample temperature for different sample arrangements and positions within the drying chamber. Results indicated that higher air velocities significantly enhance moisture removal and temperature uniformity among samples, while sample placement notably affects drying rates. Moreover, the inclusion of meshed inlet can reduce the low energy spots within the drying chamber for optimizing the drying efficiency of the system. However, higher uniformities in air velocity and sample temperature, and moisture content were achieved from the non-perforated air inlet. This research highlights the critical role of meshed inlet and sample orientations in optimizing airflow and drying conditions, providing insights to improve energy efficiency, achieve consistent drying performance, and reduce quality degradation during the drying process.

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Institutions

Publication Details

Journal
Thermal Science and Engineering Progress
Published
2025-03-23
DOI
https://doi.org/10.1016/j.tsep.2025.103533
Citations
8
Primary Topic
Food Drying and Modeling
Type
article
Field-Weighted Citation Impact
9.30
Controls
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article

A CFD integrated drying model for improving drying conditions in industry Scale dryers

Azharul Karim, Mohammad U. H. Joardder, Ali Hassan
8 citations
Thermal Science and Engineering Progress
Food Drying and Modeling
9.30
article

A CFD integrated drying model for improving drying conditions in industry Scale dryers

Azharul Karim, Mohammad U. H. Joardder, Ali Hassan
article en
8 citations

Abstract

• Integration of CFD with drying models for better prediction. • 2D and 3D CFD models for simultaneous drying of multiple samples. • Higher velocity significantly enhances moisture removal and temperature uniformity. • Sample arrangement influences drying rate, highlighting non-uniformity in air velocity and temperature. Drying is a complex process involving simultaneous momentum, heat and mass transfer driven by gradients in pressure, temperature, moisture concentration, and velocity. While recent efforts have integrated drying models with computational fluid dynamics (CFD) to improve process understanding, most existing models focus on convective drying of single samples. There remains a critical need for further studies to optimize drying conditions using CFD-integrated models for multiple samples under diverse inlet air velocities. In this study, a CFD-integrated drying model was developed to investigate drying uniformity for multiple samples under various conditions. This includes investigating whether a meshed inlet can enhance airflow distribution, thereby improving both drying uniformity and drying rates. Moreover, the study examined the uniformity of air velocity, moisture content, and sample temperature for different sample arrangements and positions within the drying chamber. Results indicated that higher air velocities significantly enhance moisture removal and temperature uniformity among samples, while sample placement notably affects drying rates. Moreover, the inclusion of meshed inlet can reduce the low energy spots within the drying chamber for optimizing the drying efficiency of the system. However, higher uniformities in air velocity and sample temperature, and moisture content were achieved from the non-perforated air inlet. This research highlights the critical role of meshed inlet and sample orientations in optimizing airflow and drying conditions, providing insights to improve energy efficiency, achieve consistent drying performance, and reduce quality degradation during the drying process.

Thermal Science and Engineering ProgressVol. 61
Queensland University of Technology (AU), Rajshahi University of Engineering and Technology (BD)
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Food Drying and Modeling
9.30
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