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    ARTICLE

    Artificial Intelligence-Driven FVM-ANN Model for Entropy Analysis of MHD Natural Bioconvection in Nanofluid-Filled Porous Cavities

    Noura Alsedais1, Mohamed Ahmed Mansour2, Abdelraheem M. Aly3, Sara I. Abdelsalam4,5,*

    Frontiers in Heat and Mass Transfer, Vol.22, No.5, pp. 1277-1307, 2024, DOI:10.32604/fhmt.2024.056087 - 30 October 2024

    Abstract The research examines fluid behavior in a porous box-shaped enclosure. The fluid contains nanoscale particles and swimming microbes and is subject to magnetic forces at an angle. Natural circulation driven by biological factors is investigated. The analysis combines a traditional numerical approach with machine learning techniques. Mathematical equations describing the system are transformed into a dimensionless form and then solved using computational methods. The artificial neural network (ANN) model, trained with the Levenberg-Marquardt method, accurately predicts values, showing high correlation (R = 1), low mean squared error (MSE), and minimal error clustering. Parametric analysis reveals significant… More >

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