Abstract Despite the significant potential of nanofluids in energy storage applications, the experimental determination of thermophysical properties is relatively costly and time-consuming. Therefore, the modeling techniques can be used for the accurate estimation of thermo-physical behavior. The predictive models are useful for the understanding of thermo-physical behavior. Due to restrictions on classical models, there is a need to develop more reliable models to simulate the thermophysical behavior of nanofluids. This paper deals with the synthesis and experimental thermal conductivity measurement of the multi-walled carbon nanotubes (MWCNTs)-Kapok seed oil nanofluid. Additionally, two new correlations based on multiple non-linear regression analysis along well as dimensionless analysis are proposed to estimate thermal conductivity with high precision compared to the classical models. Based on the statistical analysis, the prediction accuracy of the proposed model was ranked. Finally, the sensitivity analysis has been carried out in combination with the residual analysis to assure the accuracy of the model parameters of both proposed models and adequacy of estimated values of model parameters, respectively. The results revealed the global minimum values for all parameters at 0% perturbations indicating that the model parameters were estimated with high accuracy and adequacy.

中文翻译：

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MWCNTs-木棉籽油基纳米流体热导率的实验与对比理论研究

摘要 尽管纳米流体在储能应用中具有巨大潜力，但热物理性质的实验测定相对昂贵且耗时。因此，建模技术可用于准确估计热物理行为。预测模型对于理解热物理行为很有用。由于经典模型的限制，需要开发更可靠的模型来模拟纳米流体的热物理行为。本文涉及多壁碳纳米管 (MWCNTs)-木棉籽油纳米流体的合成和热导率实验测量。此外，提出了基于多元非线性回归分析和无量纲分析的两种新相关性，与经典模型相比，可以高精度地估计热导率。基于统计分析，对所提出模型的预测精度进行排序。最后，结合残差分析进行了敏感性分析，以分别保证所提出模型的模型参数的准确性和模型参数估计值的充分性。结果显示所有参数在 0% 扰动下的全局最小值表明模型参数的估计具有高精度和充分性。敏感性分析结合残差分析进行，分别保证两个模型参数的准确性和模型参数估计值的充分性。结果显示所有参数在 0% 扰动下的全局最小值表明模型参数估计具有高精度和充分性。敏感性分析结合残差分析进行，分别保证两个模型参数的准确性和模型参数估计值的充分性。结果显示所有参数在 0% 扰动下的全局最小值表明模型参数的估计具有高精度和充分性。