Parametric optimization of Archimedes screw turbine by response surface methodology and artificial neural networks
<p>This study investigates the performance optimisation of the Archimedes Screw Turbine (AST) to enhance power output, focusing on the key parameters of flow rate and inclination angle. Utilising response surface methodology (RSM) through a central composite design (CCD) and artificial neural...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Academy Publishing Center
2024-10-01
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| Series: | Renewable Energy and Sustainable Development |
| Subjects: | |
| Online Access: | http://apc.aast.edu/ojs/index.php/RESD/article/view/1008 |
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