Sharif University of Technology Scientia Iranica 1026-3098 2026 05 04 Investigating the Sensitivity of Tetra-hybrid Microfluidic Flow Under Magnetic Field Localization 24192 10.24200/sci.2025.65461.9504 EN Shabbir Ahmad China University of Geosciences (Wuhan) Elizaldo Domingues Dos Santos Programa de Pós-Graduação em Modelagem Computacional/LMCE, Escola de Engenharia, Universidade Federal do Rio Grande - FURG, 96203900, Rio Grande - RS, Brasil Kashif Ali Department of Basic Sciences and Humanities, Muhammad Nawaz Sharif University of Engineering and Technology, Multan 60000, Pakistan. Moin-ud-Din Junjua Department of Mathematics, Ghazi University, Dera Ghazi Khan 32200, Pakistan Farhan Lafta Rashid Petroleum Engineering Department, College of Engineering, University of Kerbala, Karbala 56001, Iraq Ahmed S Hendy Department of Computational Mathematics and Computer Science, Institute of Natural Sciences and Mathematics, Ural Federal University, 19 Mira St., Yekaterinburg, 620002, Russia Noureddine Elboughdiri Chemical Engineering Department, College of Engineering, University of Ha’il, P.O. Box 2440, Ha'il 81441, Saudi Arabia. Saad Alshahrani Department of Mechanical Engineering, College of Engineering, King Khalid University Journal Article 2024 10 05 This study explores the sensitivity of tetra-hybrid microfluidic flow to localized magnetic fields, focusing on their impact on flow dynamics, stress distribution, and thermal behavior. A rectangular cavity (aspect ratio 4:1) filled with a tetra-hybrid nanofluid is analyzed, with the top and bottom walls moving in the same direction. A confined magnetic field, structured in horizontal and vertical strips, is introduced to assess its influence. An alternating-direction implicit method has been used to enhance numerical stability and efficiently solve the discretized governing equations, and the single-phase model has been used to model the fluid. Furthermore, custom MATLAB codes, employing the Stream-Vorticity formulation and a finite difference method, are used to solve the governing equations. The findings demonstrate that in-creasing the magnetic field strength up to 500 enhances heat transfer by 65%. Among nanostructures, a 20% silver concentration yields the highest improvement, increasing the Nusselt number by 313%, fol-lowed by SWCNT (54%), TiO₂ (43%), and Cu (31%). Regarding skin friction, silver and TiO₂ reduce it by 65%, while Cu lowers it by 52%. However, SWCNT exhibits an opposite effect, increasing skin friction by 138% due to its elongated structure, which enhances flow resistance. These findings highlight the poten-tial for controlled magnetic field applications to optimize nanofluid performance in advanced thermal and biomedical systems.