Akram Safia, Athar Maria, Saeed Khalid, Razia Alia, Alghamdi Metib, Muhammad Taseer
MCS, National University of Sciences and Technology, Islamabad 44000, Pakistan.
Department of Mathematics, National University of Modern Languages, Islamabad 44000, Pakistan.
Nanomaterials (Basel). 2022 Aug 9;12(16):2736. doi: 10.3390/nano12162736.
The current article discusses the outcomes of the double diffusion convection of peristaltic transport in Sisko nanofluids along an asymmetric channel having an inclined magnetic field. Consideration is given to the Sisko fluid model, which can forecast both Newtonian and non-Newtonian fluid properties. Lubricating greases are the best examples of Sisko fluids. Experimental research shows that most realistic fluids, including human blood, paint, dirt, and other substances, correspond to Sisko's proposed definition of viscosity. Mathematical modelling is considered to explain the flow behavior. The simpler non-linear PEDs are deduced by using an elongated wavelength and a minimal Reynolds number. The expression is also numerically calculated. The impacts of the physical variables on the quantities of flow are plotted graphically as well as numerically. The results reveal that there is a remarkable increase in the concentration, temperature, and nanoparticle fraction with the rise in the Dufour and thermophoresis variables.
本文讨论了沿具有倾斜磁场的非对称通道的西斯科纳米流体蠕动传输的双扩散对流结果。考虑了西斯科流体模型,该模型可以预测牛顿流体和非牛顿流体的特性。润滑脂是西斯科流体的最佳实例。实验研究表明,包括人体血液、油漆、污垢和其他物质在内的大多数实际流体都符合西斯科提出的粘度定义。通过数学建模来解释流动行为。利用长波长和最小雷诺数推导出更简单的非线性偏微分方程。该表达式也进行了数值计算。物理变量对流量的影响通过图形和数值进行了绘制。结果表明,随着杜福尔和热泳变量的增加,浓度、温度和纳米颗粒分数显著增加。