TY  - JOUR
T1  - Optimization of Hybrid Solar Drying of Okra by Using Response Surface Planes
TT  - Optimization of Hybrid Solar Drying of Okra by Using Response Surface Planes
AU  - Dilaver, Hatice
AU  - Dilaver, Kamil Fatih
PY  - 2025
DA  - November
Y2  - 2025
DO  - 10.47115/bsagriculture.1686701
JF  - Black Sea Journal of Agriculture
JO  - BSJ Agri
PB  - Karyay Karadeniz Yayımcılık Ve Organizasyon Ticaret Limited Şirketi
WT  - DergiPark
SN  - 2618-6578
SP  - 785
EP  - 790
VL  - 8
IS  - 6
LA  - tr
AB  - This study employs the Response Surface Methodology (RSM) with a Central Composite Design (CCD) to optimize the hybrid solar drying process. Sixteen experimental runs were conducted based on three key input variables, leading to the formulation of a second-order regression model that explains the effects of these parameters on drying duration and energy consumption. Using data analysis via Minitab software, the optimal conditions were identified to achieve a final product moisture content of 15% (wet basis) while minimizing drying time and energy usage. The results revealed that energy demand increases with greater slice thickness, drying temperature, and air velocity, whereas drying time rises with slice thickness but decreases with increasing temperature and airflow. High agreement was found between the predictive models and experimental observations, with R² values of 99.3% for drying time and 99.8% for energy consumption. The optimal drying conditions were 40 °C air temperature, 11.5 mm slice thickness, and 1.02 m/s air velocity.
KW  - Solar drying
KW  - Optimization
KW  - Response surface methodology
KW  - Drying duration
N2  - This study employs the Response Surface Methodology (RSM) with a Central Composite Design (CCD) to optimize the hybrid solar drying process. Sixteen experimental runs were conducted based on three key input variables, leading to the formulation of a second-order regression model that explains the effects of these parameters on drying duration and energy consumption. Using data analysis via Minitab software, the optimal conditions were identified to achieve a final product moisture content of 15% (wet basis) while minimizing drying time and energy usage. The results revealed that energy demand increases with greater slice thickness, drying temperature, and air velocity, whereas drying time rises with slice thickness but decreases with increasing temperature and airflow. High agreement was found between the predictive models and experimental observations, with R² values of 99.3% for drying time and 99.8% for energy consumption. The optimal drying conditions were 40 °C air temperature, 11.5 mm slice thickness, and 1.02 m/s air velocity.
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UR  - https://doi.org/10.47115/bsagriculture.1686701
L1  - https://dergipark.org.tr/en/download/article-file/4818100
ER  -