Sarwar Noman, Jahangir Saad, Asjad Muhammad Imran, Eldin Sayed M
Department of Mathematics, University of Management and Technology, Lahore 54770, Pakistan.
Automotive Engineering Centre, University of Engineering and Technology, Lahore 54000, Pakistan.
Micromachines (Basel). 2022 Dec 5;13(12):2149. doi: 10.3390/mi13122149.
This paper introduces a novel theoretical model of ternary nanoparticles for the improvement of heat transmission. Ternary nanoparticles in a heat conductor are shown in this model. Ternary nanoparticles consist of three types of nanoparticles with different physical properties, and they are suspended in a base fluid. Analytical solutions for the temperature and velocity fields are found by using the Laplace transform approach and are modeled by using a novel fractional operator. As a result, the ternary nanoparticles are identified, and an improved heat transfer feature is observed. Further experimental research on ternary nanoparticles is being carried out in anticipation of a faster rate of heat transmission. According to the graphed data, ternary nanoparticles have greater thermal conductivity than that of hybrid nanoparticles. Moreover, the fractional approach based on the Fourier law is a more reliable and efficient way of modeling the heat transfer problem than the artificial approach. The researchers were driven to create a concept of existing nanoparticles in order to boost heat transfer, since there is a strong demand in the industry for a cooling agent with improved heat transfer capabilities.
本文介绍了一种用于改善热传递的新型三元纳米颗粒理论模型。该模型展示了热导体中的三元纳米颗粒。三元纳米颗粒由三种具有不同物理性质的纳米颗粒组成，并悬浮在基液中。通过使用拉普拉斯变换方法找到了温度场和速度场的解析解，并使用一种新型分数算子进行建模。结果，确定了三元纳米颗粒，并观察到了改进的传热特性。为了实现更快的热传递速率，正在对三元纳米颗粒进行进一步的实验研究。根据绘制的数据，三元纳米颗粒的热导率高于混合纳米颗粒。此外，基于傅里叶定律的分数方法比人工方法更可靠、更有效地对传热问题进行建模。由于行业对具有改进传热能力的冷却剂有强烈需求，研究人员受驱使创建现有纳米颗粒的概念以促进热传递。
