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Md. Didarul Islam

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Open access Aug 2026

Optimization of microclimate uniformity in a multi-layer container-type strawberry smart farm using CFD and the Taguchi method

Vertical container-type smart farms offer an effective way to improve productivity in space-limited environments, but their multi-layer arrangement often creates stagnant airflow and nonuniform microclimates. In this study, computational fluid dynamics (CFD) and the Taguchi method were combined to optimize the layout of air-conditioning components in a container-type strawberry smart farm. Three spatial design factors were considered: inlet position, outlet position, and carbon dioxide (CO2) nozzle position. Nine cases were constructed using a three-level L9 orthogonal array, and spatial standard deviation was used as the uniformity index for temperature, CO2 concentration, and local mean age of air (LMA). The baseline model showed low-velocity and recirculation regions around the cultivation beds and structural frame, producing substantial nonuniformity in CO2 distribution. The middle layer had the highest mean CO2 concentration, whereas the lower layer had the lowest concentration, with a maximum interlayer difference of 53.7 ppm. The Taguchi analysis showed that outlet position was the most influential factor, with a delta value of 8.74 and a contribution ratio of 57.78%. The optimal configuration placed the inlet at 1,200 mm, the outlet at 1,500 mm, and the CO2 nozzle at 1,200 mm. Compared with the baseline model, this configuration reduced the standard deviation of CO2 concentration from 75.85 to 7.08 ppm and improved the standard deviation of LMA from 5.63 to 4.98 s. However, temperature uniformity slightly decreased as the analysis used steady-state conditions, fixed operating flow rates, and a simplified crop geometry; the optimal layout should be revalidated when the container size, crop canopy density, or operating strategy changes. These results demonstrate that spatial microclimate uniformity in multi-layer container-type strawberry smart farms can be improved efficiently by optimizing component layout.  

Min Jung, Md. Didarul Islam, J. Jeong et al. · 0 citations
Jul 2026

Design Optimisation of a Double Volute Centrifugal Pump: A Numerical Study

Centrifugal pumps are widely used in the irrigation and drainage engineering to transport petroleum and chemical products. However, accumulated energy losses, high power consumption and rising government energy efficiency regulations have motivated the pump industry to increase pump operating efficiency and reduce energy losses. This work aims to design and develop a high‐efficiency, level 1 energy‐saving centrifugal pump. Baseline simulations revealed appreciable flow separation and energy losses, so the pump was re‐parameterised in CF Turbo 2025 and examined in Ansys Workbench using computational fluid dynamics (CFD) to optimise the pump design. A pump experiment was conducted to assess hydraulic performance and validate the computational pump model. Parametric design parameters, such as impeller outlet width, impeller diameter, blade number and volute diameter, were included to assess their effects on pump performance. The effects of the design parameters were investigated and discussed under different working conditions. The results demonstrated that by varying the design parameters, the optimum pump head and efficiency could increase by 7% and 11%, respectively, significantly reducing power losses and flow separation. Specifically, reducing the impeller width improved the hydraulic efficiency and lowered the energy consumption. The research provides a comprehensive design‐optimisation approach to enhance the performance of a double‐volute centrifugal pump.

Junhui Zhang, Md. Rakibuzzaman, Md. Didarul Islam et al. · 0 citations

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