Experimental study for thermal conductivity of water‐based zirconium oxide nanofluid: Developing optimal artificial neural network and proposing new correlation,International Journal of Energy Research

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Experimental study for thermal conductivity of water‐based zirconium oxide nanofluid: Developing optimal artificial neural network and proposing new correlation
International Journal of Energy Research ( IF 4.3 ) Pub Date : 2020-09-15 , DOI: 10.1002/er.5988
Andaç Batur Çolak ₁

Affiliation

In this study, five different water based ZrO₂ nanofluids were prepared at volumetric concentrations of 0.0125%, 0.025%, 0.05%, 0.1%, and 0.2%. In the preparation of nanofluids, two‐step method was preferred, magnetic stirrer and ultrasonic homogenizer were used. Their thermal conductivity was measured experimentally in the temperature range of 10°C to 65°C. Using the obtained experimental data, a multi‐layer perceptron feed‐forward back‐propagation artificial neural network was developed. In addition, a new correlation was proposed for the calculation of the thermal conductivity values of the ZrO₂/Water nanofluid. The results showed that the ZrO₂/Water nanofluid had higher thermal conductivity compared to the base fluid and the thermal conductivity increases with the increase in temperature and concentration. While the artificial neural network developed with experimental data predicted the thermal conductivity of ZrO₂/Water nanofluid with an average error of −0.41%, the new correlation developed predicted it with an average error of −0.02%. These values were an indication that the results obtained from the developed artificial neural network and the correlation are in perfect agreement with the experimental data.

中文翻译：

水性氧化锆纳米流体导热系数的实验研究：建立最佳人工神经网络并提出新的相关性

在这项研究中，制备了五种不同的水基ZrO ₂纳米流体，其体积浓度分别为0.0125％，0.025％，0.05％，0.1％和0.2％。在纳米流体的制备中，优选两步法，使用磁力搅拌器和超声均化器。它们的热导率是在10°C至65°C的温度范围内通过实验测量的。利用获得的实验数据，开发了多层感知器前馈反向传播人工神经网络。此外，提出了一种新的相关性，用于计算ZrO ₂ /水纳米流体的热导率值。结果表明，ZrO ₂与基础流体相比，水/纳米流体的导热系数更高，并且导热系数随着温度和浓度的增加而增加。用实验数据开发的人工神经网络预测ZrO ₂ /水纳米流体的热导率的平均误差为-0.41％，而开发的新相关性预测的ZrO ₂ /水纳米流体的热导率的平均误差为-0.02％。这些值表明从发达的人工神经网络获得的结果及其相关性与实验数据完全吻合。

更新日期：2020-09-15

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