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Gangadhar, K., Prameela, M., Chamkha, A.J., G R, B. and Kannan, T. (2024) Evaluation of Homogeneous-Heterogeneous Chemical Response on Maxwell-Fluid Flow through Spiraling Disks with Nonlinear Thermal Radiation Using Numerical and Regularized Machine Learning Methods. International Journal of Modelling and Simulation. https://doi.org/10.1080/02286203.2024.2327598

has been cited by the following article:

• TITLE: Hybrid Nanofluid Flow over a Stretching Curved Surface with Induced Magnetic Field and Homogeneous-Heterogeneous Reactions

  AUTHORS: Ming Shen, Yunhua Zheng, Yihong Liu, Hui Chen, Mengchen Zhang

  KEYWORDS: Hybrid Nanofluids, Stretching Curved Surface, Induced Magnetic Field, Improved Shooting Method

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.12 No.10, October 31, 2024

  ABSTRACT: This study explores the 2D stretching flow of a hybrid nanofluid over a curved surface influenced by a magnetic field and reactions. A steady laminar flow model is created with curvilinear coordinates, considering thermal radiation, suction, and magnetic boundary conditions. The nanofluid is made of water with copper and MWCNTs as nanoparticles. The equations are transformed into nonlinear ODEs and solved numerically. The model’s accuracy is confirmed by comparing it with published data. Results show that fluid velocity increases, temperature decreases, and concentration increases with the curvature radius parameter. The hybrid nanofluid is more sensitive to magnetic field changes in velocity, while the nanofluid is more sensitive to magnetic boundary coefficient changes. These insights can optimize heat and mass transfer in industrial processes like chemical reactors and wastewater treatment.