The synthesis of a nanofluid from multiwalled carbon nanotubes (MWCNTs) and Kapok seed oil by a one‐step method is reported. The nanofluid showed excellent stability of nanoparticle dispersion in the base fluid. Furthermore, this study deals with the prediction of the thermal conductivity of the MWCNTs‐kapok seed oil nanofluid. To improve the prediction of the thermal conductivity of the nanofluid, the artificial neural network (ANN) computing approach was used with different algorithms including the back‐propagation, Levenberg‐Marquardt, and genetic algorithm (GA). Finally, the ANN‐GA model is recommended for the prediction of thermal conductivity with higher accuracy.

中文翻译：

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多壁碳纳米管-木棉籽油基纳米流体的导热系数

报道了通过一步法由多壁碳纳米管和木棉籽油合成纳米流体的方法。纳米流体在基础流体中显示出极好的纳米颗粒分散体稳定性。此外，本研究还涉及MWCNTs-木棉籽油纳米流体的热导率预测。为了改善对纳米流体导热系数的预测，人工神经网络（ANN）计算方法与不同的算法一起使用，包括反向传播，Levenberg-Marquardt和遗传算法（GA）。最后，建议使用ANN-GA模型以更高的精度预测导热系数。