Combined convection nanoliquid flow involving three diffusive components is investigated along with a moving plate and magnetic field effects. A wall heating/cooling analysis is carried out, given its engineering and industrial applications. The conservation equations governing the flow are solved by utilising a Quasilinearization technique and finite difference method. Heat, Sucrose and Sodium Chloride are taken as the three diffusive components. The numerical simulation results show that the rise in the value of the thermophoresis parameters Nt accelerates both the temperature profile and the nanoparticle Sherwood number. The temperature profile increases, while the nanoparticle Sherwood number reduces for greater values of Nb, which represents the Brownian diffusion. The rate of transfer of heat and the friction at the surface diminishes for higher values of the magnetic and nanoparticle buoyancy ratio parameters. The heat flux at the plate reduces in-wall cooling case and increases in-wall heating case, for rising values of thermophoresis parameter Nt, whereas, for rising values of Brownian diffusion parameter Nb, the heat flux reduces considerably in both the cases.

研究涉及三个扩散组件的组合对流纳米液体流以及移动板和磁场效应。考虑到其工程和工业应用，进行了壁加热/冷却分析。利用拟线性化技术和有限差分法求解控制流动的守恒方程。热、蔗糖和氯化钠作为三种扩散成分。数值模拟结果表明，热泳参数Nt值的上升加速了温度分布和纳米粒子舍伍德数。温度曲线增加，而纳米粒子舍伍德数随着Nb值的增加而减少，代表布朗扩散。对于较高的磁性和纳米颗粒浮力比参数值，热传递速率和表面摩擦减小。对于热泳参数Nt 的值升高，板处的热通量减少了壁内冷却情况并增加了壁内加热情况，而对于布朗扩散参数Nb 的值，这两种情况下的热通量都显着降低。