Optimizing heat transfer rate with sensitivity analysis on nonlinear radiative hydromagnetic hybrid nanofluid flow considering catalytic effects and slip condition: Hamilton–Crosser and Yamada–Ota modelling

S. Panda, Surender Ontela, P. K. Pattnaik, S. Mishra
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Abstract

In current investigation the optimization of heat transportation rate in a nonlinear radiative buoyancy‐driven hydromagnetic carbon nanotube (CNT) hybrid nanofluid flow is analysed. The proposed catalytic effects and slip condition is accounted for the real‐world complexities of the system. The Hamilton–Crosser (HC) and Yamada–Ota (YO) models are employed to characterize the behaviour of the nanofluid. The primary objective is to enhance the heat transmission rate, which is crucial for various engineering applications such as thermal management, energy systems and so forth. To achieve this, sensitivity analysis is performed to identify the most influential parameters affecting heat transfer in the system. By understanding the sensitivity of these parameters, the performance of the system can be improvised. The study focuses on the interplay between key factors including radiative heat transfer, buoyancy‐driven flow, magnetic field influence, catalytic effects, and slip condition. The presence of CNTs in the nanofluid adds another dimension to the complexity of the system that explores the effects of varying the concentration and size of CNTs on the heat transfer rate. By utilizing advanced mathematical modelling and numerical simulations, the performance of the system under different scenarios and identify the optimal conditions for maximizing heat transfer rate is evaluated. The findings of this research provide valuable insights into the design and optimization of heat transfer systems involving nanofluids with nonlinear radiative and hydromagnetic effects. The observation shows that, irrespective to single wall and multi wall CNT nanoparticles the fluid velocity attenuates significantly whereas it favours in enhancing the fluid temperature. Further, the comparative analysis reveals that the heat transfer augments in the case of HC model than that of YO model.
考虑催化效应和滑移条件,通过对非线性辐射水磁混合纳米流体流动的敏感性分析优化传热率:汉密尔顿-克罗斯和 Yamada-Ota 模型
本次研究分析了非线性辐射浮力驱动的水磁性碳纳米管(CNT)混合纳米流体流动中的热传输率优化问题。针对该系统在现实世界中的复杂性,提出了催化效应和滑移条件。采用汉密尔顿-克罗瑟(HC)和山田-太田(YO)模型来描述纳米流体的行为特征。主要目的是提高热传导率,这对热管理、能源系统等各种工程应用至关重要。为此,我们进行了敏感性分析,以确定影响系统传热的最有影响力的参数。通过了解这些参数的敏感性,可以改善系统的性能。研究的重点是辐射传热、浮力驱动流动、磁场影响、催化效应和滑移条件等关键因素之间的相互作用。纳米流体中碳纳米管的存在为系统的复杂性增加了另一个维度,即探索改变碳纳米管的浓度和尺寸对传热速率的影响。通过利用先进的数学建模和数值模拟,评估了系统在不同情况下的性能,并确定了实现最大传热率的最佳条件。这项研究的结果为设计和优化涉及具有非线性辐射和水磁效应的纳米流体的传热系统提供了宝贵的见解。观察结果表明,不管是单壁还是多壁 CNT 纳米粒子,流体速度都会明显减弱,而流体温度则会提高。此外,对比分析表明,HC 模型比 YO 模型的传热效果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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