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Integrated CFD–drying model for design optimisation of multi-layer rack drying systems for mackerel processing
(2026-08-01)
Nabudda, Kriengkrai
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Thasnas, Natakorn
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Poungthong, Pongthep
This study presents an integrated Computational Fluid Dynamics (CFD)–Page model framework for analysing and optimising the drying performance of a six-layer mackerel drying system. Experimental drying data were fitted using the Page model (k = 0.185, n = 1.32), achieving high predictive accuracy (RMSE = 0.018). The coupled CFD–drying model was applied to evaluate moisture removal behaviour and the effect of rack spacing on airflow distribution, temperature uniformity, and heat transfer. Results revealed distinct layer-dependent drying characteristics, with the uppermost layer exhibiting the fastest moisture removal due to greater exposure to hot, low-humidity airflow. CFD simulations for rack spacings of 8–12 mm showed that spacing significantly influences airflow penetration and thermal distribution. A mesh-independent model with 261,785 elements ensured numerical reliability. The optimal rack spacing was identified as 10 mm, providing the most uniform airflow and temperature distribution. Surrogate model optimisation further predicted an optimal spacing of 10.21 mm, improving drying uniformity, energy efficiency, and overall system performance.
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Modeling water quality assessment-based MHD flow with Forchheimer and chemical reaction effects over a stretching melting surface via RSM
(2026-01-01)
Govindan, Vediyappan
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Pimpunchat, Busayamas
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Shaw R, Shaik Mohiddin
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Byeon, Haewon
The study of magnetohydrodynamic (MHD) boundary layer flow over melting surfaces embedded in Darcy–Forchheimer porous media is essential for improving thermal management in industrial processes such as metal casting, polymer extrusion, and geothermal heat extraction. This research numerically investigates the combined effects of chemical reaction, thermal radiation, viscous dissipation, and Forchheimer inertial resistance on the velocity, temperature, and concentration distributions within an electrically conducting fluid flowing over a moving, melting surface. Assuming an incompressible Newtonian fluid and employing similarity transformations, the governing equations are formulated based on the conservation of mass, momentum, energy, and species concentration. The resulting system of nonlinear ordinary differential equations (ODEs) is solved using a shooting method in conjunction with the fourth-order Runge–Kutta scheme. Overall, the proposed numerical model effectively captures the interplay of magnetic, thermal, and chemical effects, offering valuable insights for the design of efficient thermal systems involving melting processes and porous structures.
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Effects of mass transfer and MHD Casson nanofluid heat transfer on thermophoresis at stagnation point
(2025-05-01)
Seethamahalakshmi, V.
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Venkata Kalyani, U.
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Padma, A.
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Nagalakshmi, P. S.S.
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Ramana Reddy, G. V.
This study seeks to analyse the magnetohydrodynamic (MHD) flow of a nanofluid, focussing on heat and mass transfer in nano liquids over a stretchable surface near a stagnation point, while considering changeable thermal conductivity. The thermal behavior of the suspended nanoparticles is found to be significantly affected by Brownian motion. The influence of the chemical responses well as the continuous inner warmth source or washbasin are in addition taken into account. The governing equations are changed into a system of coupled ordinary differential equations utilising an appropriate similarity transformation. The computational software PYTHON is employed to address the boundary value problem (BVP) utilising the shooting method. The numerical results are supported by the online PYTHON software function bvp4c. The numerical results are derived by varying the values of the physical parameters associated with the flow problem. The results are presented in graphical and tabular formats. As the thermal energy of the liquid increases, the thermophoresis values trend upward, while the Nb values show a downward trajectory. Also, we found that the response rate encourages a reduction in the thermal boundary layer's thickness.
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Energy and exergy analysis for fast drying of ribbed smoked sheets in a novel forced-convection rubber smoking room
(2024-06-01)
Inthararak, Pennung
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Dejchanchaiwong, Racha
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Palamanit, Arkom
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Morris, John
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Tekasakul, Perapong
Rubber sheet smoking rooms are widely used by small farmers in rubber growing regions: sheets of raw rubber latex are ‘smoked’ in them to remove moisture, preserve and prepare the rubber for transport. Energy and exergy for a novel forced-convection rubber sheet smoking room were analyzed. Inlet hot air velocity varied between 12 and 14 m/s and the fuel-wood moisture content was between 24–55 % dry basis. Thermal efficiency for drying ribbed smoked sheet (RSS) rubber was 13.4–16.7 %. The specific energy consumption (SEC) was between 13.5–16.9 MJ/kg of water evaporated. The highest thermal efficiency or lowest specific energy consumption was achieved when using the dry fuel-wood (inlet velocity 14 m/s, 53 % db fuel-wood), while the RSS quality was maximum (100 %). The overall second law (exergy) efficiency was from 2.2-5.8 %. The highest exergy efficiency was obtained for air at 12 m/s and 24 % db fuel-wood. However, in this condition, only 55 % of sheets showed good quality. The exergy efficiency for the most suitable condition (100 % high quality sheets) was 2.6 %. Compared to an earlier forced-convection smoking room, the new room reduced the drying time from 48 h to 36 h, while thermal efficiency increased from 14.3 % to 16.5 %. When compared to the original smoking room, 65 % fuel-wood and 50 % drying time were saved and the rubber sheet quality increased from ∼90 % to 100 %. Overall, our forced-convection room was more efficient, dried faster and produced better quality than all previous types.
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