Nowadays, nanofluid is the traditional procedure to increase the thermal conductivity of common fluids such as water, glycerin, and motor oil due to the deterioration of thermal aspects. The term “nanoliquid” refers to a liquid created by nanometer-sized particles with diameters less than 100 nm. Nanofluids are utilized in a variety of automotive purposes including fuel combustion, medication delivery, cooling of automobile engines, geothermal force extraction and heat transmission. This research aims to show the MHD transport of hybrid nanofluids with viscous dissipation through porous medium. By using an efficient similarity transformation process, PDEs are converted into system of nonlinear ODEs. The bvp4c (shooting method) is used to solve the complete nonlinear ODEs with suitable boundary conditions. To investigate the thermal transport aspects, hybrid nanoparticles and water as base fluid are used. To determine the flow behavior, several physical flow factors on velocity and thermal profiles are explored by using tables and graphs. The outcomes specify that porosity number and magnetic and slip parameters reduced the velocity profile. The higher estimations of slip parameter and Eckert number lead to stronger thermal profile. The concentration profile is decayed for growing estimations of chemical-reaction number.

如今，由于热方面的劣化，纳米流体是提高水、甘油和机油等常见流体的热导率的传统方法。术语“纳米液体”是指由直径小于100纳米的纳米颗粒产生的液体。纳米流体用于各种汽车用途，包括燃料燃烧、药物输送、汽车发动机冷却、地热力提取和热传输。本研究旨在展示通过多孔介质具有粘性耗散的混合纳米流体的 MHD 传输。通过使用有效的相似变换过程，PDE 被转换为非线性 ODE 系统。bvp4c（射击法）用于求解具有合适边界条件的完整非线性 ODE。为了研究热传输方面，使用混合纳米粒子和水作为基液。为了确定流动行为，通过使用表格和图表探索了关于速度和热分布的几个物理流动因素。结果表明孔隙度数和磁性和滑移参数降低了速度剖面。滑移参数和埃克特数的较高估计导致更强的热剖面。随着对化学反应数的估计不断增加，浓度分布会衰减。滑移参数和埃克特数的较高估计导致更强的热剖面。随着对化学反应数的估计不断增加，浓度分布会衰减。滑移参数和埃克特数的较高估计导致更强的热剖面。随着对化学反应数的估计不断增加，浓度分布会衰减。