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    Optimizing Venturi Flume Design for Sustainable Water Management: Bridging Flow Accuracy and Aeration Efficiency through Experimental and Machine-Learning Approaches

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    JIDEDH.IRENG-10716.pdf (6.094Mb)
    Date
    2026
    Author
    Panwar, Dinesh
    Tiwari, Nand Kumar
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    Abstract
    AbstractThis study introduces a machine learning (ML) framework to optimize Venturi flume design for improved aeration efficiency (E20) and discharge coefficient (Cd) for sustainable water management. Six flume geometries: three fundamental Venturi flumes ...Practical ApplicationsVenturi flumes play a crucial role in both aeration and accurate flow measurement, distinguishing themselves from traditional drop structures such as weirs, cascades, and spillways through their low head loss and high precision under ...
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4311793
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