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Vol. 36 No. 4 (2026): Journal of Science and Technology – Engineering and Technology for Sustainable Development (10/ 2026)
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Research article
How to Cite
Nguyen, D. T., Nguyen , T. G., Nguyen, T. T., Nguyen, T. H., Nguyen, T. N. A., Le, N. C., Pham, T. H., Phan, M. T., & Nguyen, N. H. (2026). Evaluation and Analyzing of Air Drying Distribution in Chamber withTuned Relative Vertical Position of Frames. Engineering and Technology For Sustainable Development, 36(4). https://jst.vn/index.php/etsd/article/view/1127

Evaluation and Analyzing of Air Drying Distribution in Chamber withTuned Relative Vertical Position of Frames

Nguyen Duc Trung1, , Nguyen Truong Giang1, Nguyen Thi Thao2, Nguyen Trung Hieu3, Nguyen Thi Ngoc Anh2, Le Ngoc Cuong1, Pham Thanh Huong1, Phan Minh Thuy1, Nguyen Ngoc Hoang1
1 School of Chemistry and Life Sciences, Hanoi University of Science and Technology, Ha Noi, Vietnam
2 Green Technology and Digital Transformation Co., Ltd, Ha Noi, Vietnam
3 School of Material Sciences, Hanoi University of Science and Technology, Ha Noi, Vietnam

Main Article Content

Abstract

Drying efficiency strongly depends on the uniformity of airflow distribution within the drying chamber. In the study, two-dimensional Computational Fluid Dynamics (CFD) simulations were employed to analyze airflow behavior in a multi-tray drying chamber with six geometric configurations characterized by different frame steps (S). The results reveal that airflow uniformity decreases with chamber height, with pronounced instabilities observed at the upper frames. The value of S was found to play a critical role in airflow distribution. The most popular design of case I with zero-step (baseline) exhibited the poorest performance, with relative standard deviation (RSD) exceeding 55.6% and the largest inhomogeneity with max to min discrepancy (M2M up to 12.5), indicating strong airflow irregularity. In contrast, case V with the tuned vertical step of frame at 30 mm demonstrated the best performance, with RSD as low as 18.7–28.1% and minimal M2M differences, reflecting highly uniform airflow across the tray surfaces. The bigger absolute value of step gave better performance than the smaller ones because the drying airflow tends to follow the surface of trays. Compared to previous studies, these findings underscore the importance of evaluating airflow directly at the tray surfaces rather than solely at the chamber scale. Overall, the study offers practical guidance for optimizing tray arrangement and frame step design to improve airflow uniformity, thereby enhancing drying performance and product quality.

Keywords

airflow distribution, CFD simulation, drying chamber, frame step, uniformity, drying air effectiveness

Article Details

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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