The consolidation power of different nanomaterials such as metallic nanoparticles and metallic-oxides nanoparticles in a new-fangled and energetic hybrid material should give rise to fascinating properties that combine the advantages of each of the nanocomponents. In this paper, developed an MHD-hybrid model for the thermal energy system with seven different types of nanoparticles. For this purpose, we simulate the thermal conductivity and viscosity hybridized nanocomponents modeled based on the shape and size factor of each nanoparticle. The effect of morphology for Metallic and non-Metallic nanoparticles on flow and heat transfer rate has been investigated through hybrid nanofluids flow. Mathematical modeling of the concerning problem is done in the form of the partial differential structure under the boundary layer theory. The intrinsic features of capitalized induced particles along with base fluid are presented by empirical relations and utilized during the formulation of work. These hybrid nanofluids flow passing through the two orthogonal moving up/down porous disks. Thermal enhancement performance is analyzed through variation of shape and size of the nanoparticles with convective conditions. A stable system of nonlinear differential equations is obtained by applying suitable transformation on governing partial differential equations. Consequences of pertinent parameters on axial velocity, radial velocity, tangential velocity, and temperature distribution are elaborated. Important results of non-dimensional parameters with different types of hybrid nanofluids are examined through porous orthogonal disks. We achieved that the carbon nanomaterial has significant results on thermal performance. Novel results are obtained on thermal conductivity and viscosity associated with the shape/size of the nanoparticles. Shear stress increases with the increase of values of MHD. For the injection case, the Nusselt number shows significant results. If we increase the size of the nanoparticles then Skin friction also increases. This research set a strong foundation in the field of nano-biomedical devices, and engineering nanotechnology oriented electronic computers.

不同的纳米材料（例如金属纳米颗粒和金属氧化物纳米颗粒）在新型的高能杂化材料中的固结能力应产生令人着迷的特性，这些特性结合了每种纳米组分的优点。在本文中，为具有七种不同类型纳米粒子的热能系统开发了MHD混合模型。为此，我们模拟了基于每个纳米粒子的形状和尺寸因子建模的热导率和粘度杂交纳米成分。通过混合纳米流体流动，研究了金属和非金属纳米粒子的形态对流动和传热速率的影响。在边界层理论下，有关问题的数学建模是以偏微分结构的形式进行的。资本化的诱导粒子与基础流体一起的内在特征通过经验关系呈现出来，并在制定工作时加以利用。这些杂化纳米流体流过两个正交的向上/向下移动的多孔盘。通过对流条件改变纳米颗粒的形状和大小来分析热增强性能。通过对支配的偏微分方程进行适当的变换，可以获得一个稳定的非线性微分方程系统。详细阐述了有关轴向速度，径向速度，切向速度和温度分布的相关参数。通过多孔正交圆盘检查了具有不同类型的杂化纳米流体的无量纲参数的重要结果。我们实现了碳纳米材料在热性能方面的显着成果。在与纳米颗粒的形状/尺寸相关的导热率和粘度方面获得了新的结​​果。剪切应力随着MHD值的增加而增加。对于注射情况，Nusselt数显示出明显的结果。如果我们增加纳米粒子的尺寸，那么皮肤摩擦也会增加。这项研究为纳米生物医学设备和面向工程纳米技术的电子计算机领域奠定了坚实的基础。如果我们增加纳米粒子的尺寸，那么皮肤摩擦也会增加。这项研究为纳米生物医学设备和面向工程纳米技术的电子计算机领域奠定了坚实的基础。如果我们增加纳米粒子的尺寸，那么皮肤摩擦也会增加。这项研究为纳米生物医学设备和面向工程纳米技术的电子计算机领域奠定了坚实的基础。