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Chapter Two – Impact of nanoparticle aggregation and melting heat transfer phenomena on magnetically triggered nanofluid flow: Artificial intelligence–based Levenberg–Marquardt approach

Publication Type : Book Chapter

Publisher : Elsevier

Source : H. Muhammad Ali (Ed.), Advanced Materials-Based Fluids for Thermal Systems, Elsevier, 2024: pp. 13–34

Url : https://www.sciencedirect.com/science/article/abs/pii/B9780443215766000054?via%3Dihub

Campus : Bengaluru

School : School of Engineering

Department : Mathematics

Year : 2024

Abstract : The processes behind the enhanced heat transmission caused by suspended nanoparticles are still unclear. The aggregation of nanoparticles has been proven to be a vital component in increasing the thermal conductivity of nanoliquids in a great number of studies. However, the nanoparticle aggregation fractal size will have a significant influence on the thermal conductivity of the nanoliquid. As a result, the present work examines the nanoparticle aggregation impact on nanoliquid flow across a stretching disk. The Krieger–Dougherty and Maxwell–Bruggeman models of nanoparticle aggregation are utilized in this research. These models provide a precise calculation of the viscosity and thermal conductivity of the particles. The governing equations are changed into ordinary differential equations using suitable transformations. Shooting and Runge–Kutta–Fehlberg's fourth-fifth order methods (RKF-45) are used to solve the problem. Results reveal that the increase in magnetic parameter values decreases the velocity field. The upsurge in melting parameter declines the velocity field but improves the thermal field.

Cite this Research Publication : R.J. Punith Gowda, I.E. Sarris, R. Naveen Kumar, B.C. Prasannakumara, Chapter Two - Impact of nanoparticle aggregation and melting heat transfer phenomena on magnetically triggered nanofluid flow: Artificial intelligence–based Levenberg–Marquardt approach, in: H. Muhammad Ali (Ed.), Advanced Materials-Based Fluids for Thermal Systems, Elsevier, 2024: pp. 13–34. https://doi.org/10.1016/B978-0-443-21576-6.00005-4.

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