Application of numerical analysis and machine learning techniques to improve drying performance and energy consumption of microwave-assisted convective dryer
This study investigates the drying performance and energy consumption of okra slices using a hybrid microwave-assisted convective dryer. The effects of air temperature (40–60 °C), microwave power (100–400 W), and airflow (0.5–1.5 m/s) on drying time, energy use, and thermodynamic performance were ev...
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| Main Authors: | Hany S. El-Mesery, Ahmed H. ElMesiry, Mohammad Kaveh, Zicheng Hu, Abdallah Elshawadfy Elwakeel, Sara Elhadad |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025021310 |
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