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Experimental and comparative theoretical study of thermal conductivity of MWCNTs-kapok seed oil-based nanofluid

机译:MWCNTs-木棉籽油基纳米流体导热系数的实验与比较理论研究

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摘要

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.
机译:尽管纳米流体在能量存储应用中具有巨大潜力,但热物理性质的实验确定相对昂贵且耗时。因此,建模技术可用于热物理行为的准确估计。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实验热导率测量。此外,与经典模型相比,提出了基于多重非线性回归分析以及无量纲分析的两个新的相关性,以高精度估算导热系数。在统计分析的基础上,对所提出模型的预测准确性进行了排名。最后,结合残差分析进行了敏感性分析,以分别确保所提出模型的模型参数的准确性和模型参数的估计值的适当性。结果揭示了在0%摄​​动时所有参数的全局最小值,表明模型参数的估计具有很高的准确性和充分性。

著录项

  • 来源
    《Letters in heat and mass transfer》 |2020年第1期|104402.1-104402.10|共10页
  • 作者

  • 作者单位

    Department of Chemical Engineering Universiti Teknologi PETRONAS Bandar Seri Iskandar 32610 Perak Malaysia;

    Department of Chemical Engineering Universiti Teknologi PETRONAS Bandar Seri Iskandar 32610 Perak Malaysia Department of Chemical Engineering COMSATS University Islamabad Lahore Campus 54000 Lahore Pakistan;

    School of Environmental Sciences and Engineering Government College University 38000 Faisalabad Pakistan;

    School of Chemical and Materials Engineering National University of Science and Technology Islamabad Pakistan;

    Department of Chemical Polymer & Composite Material Engineering University of Engineering and Technology Lahore (KSK Campus) Pakistan;

    Institute of Soil and Environmental Sciences University of Agriculture Faisalabad Faisalabad 38040 Pakistan;

    Department of Petroleum Engineering Texas A&M University Qatar Campus Doha Qatar;

    Department of Chemistry College of Science King Khalid University Abha 61413 P. O. Box 9004 Saudi Arabia;

    Department of Fundamental and Applied Sciences Universiti Teknologi PETRONAS Bandar Seri Iskandar 32610 Perak Malaysia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Multi-walled carbon nanotubes; Kapok seed oil; Nanofluid; Thermal conductivity; Dimensionless group analysis; Artificial neural network;

    机译:多壁碳纳米管;木棉籽油;纳米流体导热系数;无量纲分组分析;人工神经网络;

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