The flow of fluid that occurs when two parallel disks are squeezed together has applications in compression, the processing of polymers, the production of plastics, injection modeling, and lubrication systems. In this paper, the unsteady squeezing flow and heat transport of nanoliquid that is subjected to convective thermal boundary conditions and viscous heating have been studied numerically. This study was inspired by the exploration of the thermophysical properties of magnetic nanoparticles in squeezing tribology. The flow between two horizontal parallel disks is accounted for where the upper disk is non-static when the lower disk is fixed. The powerful Runge–Kutta method-based shooting scheme is utilized to solve the assumed problem. The influence of pertinent key parameters on involved fields is visualized graphically and scrutinized. It is exhibited that the haphazard motion of NPs contributes highly to the enhancement of thermal and concentration fields. Also, the Robin boundary conditions affect flow fields significantly. Intensifying the Brownian motion effect enhances NPs’ concentration. Radial velocity is damped in the core region with stronger magnetic field. The mass transport rate is diminished, and the heat transmission rate is enhanced. The computations are relevant to smart nano-tribological systems in mechanical and aerospace engineering.

当两个平行圆盘挤压在一起时发生的流体流动在压缩、聚合物加工、塑料生产、注塑成型和润滑系统中都有应用。本文对受对流热边界条件和粘性加热作用的纳米液体的非定常挤压流动和传热进行了数值研究。本研究的灵感来自于在挤压摩擦学中探索磁性纳米粒子的热物理性质。两个水平平行盘之间的流动被解释为当下盘固定时上盘是非静态的。强大的基于 Runge-Kutta 方法的射击方案被用来解决假设的问题。相关关键参数对相关领域的影响以图形方式可视化并仔细检查。结果表明，NPs 的随意运动对热场和浓度场的增强有很大贡献。此外，Robin 边界条件会显着影响流场。加强布朗运动效应可提高 NP 的浓度。径向速度在磁场较强的核心区域受到阻尼。传质速率降低，传热速率增加。这些计算与机械和航空航天工程中的智能纳米摩擦系统有关。传质速率降低，传热速率增加。这些计算与机械和航空航天工程中的智能纳米摩擦系统有关。传质速率降低，传热速率增加。这些计算与机械和航空航天工程中的智能纳米摩擦系统有关。