Department of Mathematics, Capital University of Science and Technology (CUST), Islamabad, 44000, Pakistan.
Institute of Space Sciences, 077125, Magurele-Bucharest, Romania.
Sci Rep. 2021 Nov 25;11(1):22924. doi: 10.1038/s41598-021-02212-3.
Survey of literature unveils that nanofluids are more efficient for heat transport in comparison to the traditional fluids. However, the enlightenment of developed techniques for the augmentation of heat transport in nanomaterials has considerable gaps and, consequently, an extensive investigation for aforementioned models is vital. The ongoing investigation aims to study the 2-D, incompressible Jeffrey nanofluid heat transference flow due to a stretchable surface. Furthermore, the effect of dispersion of graphene nanoparticles in base liquid ethylene glycol (EG) on the performance of flow and heat transport using the Tawari-Das model in the existence of Ohmic heating (electroconductive heating) and viscous heat dissipation is contemplated. The boundary-layer PDEs are reconstituted as ODEs employing appropriate similarity transformation. Keller-Box Method (KBM) is utilized to determine the numerical findings of the problem. Graphene conducts heat greater in rate than all of the other materials and it is a good conductor of electrical energy. Graphene/EG nanofluid is employed to look out the parametric aspects of heat transport flow, drag coefficient, and heat transference rate phenomena with the aid of graphs and tables. The numerical outcomes indicate that concentration and magnetic field abate the shear stresses for the nanofluid. An increase of Graphene nanoparticle volume fraction parameter can boost the heat transport rate. The effect of Prandtl Number is to slow down the rate of heat transport as well as decelerate the temperature. Additionally, the rate of heat transportation augments on a surface under Deborah's number. Results indicate that the temperature of the graphene-EG nanofluid is greater than the convectional fluid hence graphene-EG nanofluid gets more important in the cooling process, biosensors and drug delivery than conventional fluids.
文献调查表明，与传统流体相比，纳米流体在传热方面效率更高。然而，为提高纳米材料传热而开发的技术的启示存在相当大的差距，因此，对上述模型进行广泛的研究至关重要。目前的研究旨在研究二维、不可压缩 Jeffrey 纳米流体由于可伸缩表面的传热。此外，考虑到电导率加热（导电加热）和粘性耗散的存在，利用 Tawari-Das 模型研究了在基础液体乙二醇 (EG) 中分散石墨烯纳米颗粒对流动和传热性能的影响。边界层 PDE 被重新表示为 ODE，采用适当的相似变换。Keller-Box 方法 (KBM) 用于确定问题的数值结果。石墨烯的导热率比其他所有材料都高，而且是一种良好的电能导体。使用图表和表格研究了石墨烯/EG 纳米流体对传热流动、阻力系数和热传递率现象的参数方面。数值结果表明，浓度和磁场会减弱纳米流体的剪切应力。增加石墨烯纳米颗粒体积分数参数可以提高传热速率。普朗特数的影响是减缓传热速率以及降低温度。此外，表面上的 Deborah 数会增加热输送速率。结果表明，石墨烯-EG 纳米流体的温度高于传统流体，因此在冷却过程中、生物传感器和药物输送中，石墨烯-EG 纳米流体比传统流体更重要。
