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首页> 外文期刊>International communications in heat and mass transfer >Experimental investigation toward obtaining nanoparticles' surficial interaction with basefluid components based on measuring thermal conductivity of nanofluids
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Experimental investigation toward obtaining nanoparticles' surficial interaction with basefluid components based on measuring thermal conductivity of nanofluids

机译:通过测量纳米流体的热导率获得纳米颗粒与基础流体组分的表面相互作用的实验研究

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In this study the effect of temperatures, the CuO and TiO2 nanoparticles' mass fraction, and basefluid types were studied on thermal conductivity of nanofluid. CuO and TiO2 nanoparticles were dispersed in ethanol and liquid paraffin model 107,160 separately by using ultrasonic waves. The stability of nanoparticles in basefluids was estimated by exploiting DLS and Zeta Potential analysis. The results showed that the thermal conductivity enhances with the increase in temperature; conversely, with the increase in temperature the thermal conductivity of the basefluid decreases. The results of this study showed that by increasing the mass fractions of metal oxides nanoparticles the thermal conductivity of nanofluid increases. Also, by increasing the concentration of oxides nanoparticles in liquid paraffin, the changes in the thermal conductivity of nanofluid at concentrations of 1% are insignificant, but by increasing the concentration of nanoparticles from 1% mass to 5%, the changes in the thermal conductivity of nanofluid are remarkable. The results of the calculation for the interaction parameter showed that in the low concentrations of metal oxides nanoparticles, the interaction effect between surfaces of metal oxide nanoparticles and ethanol molecules is greater than the liquid paraffin. The results also showed that the thermal conductivity of ethanol/CuO is greater than the other nanofluids (ethanol/TiO2, liquid paraffin/TiO2, and liquid paraffin/CuO) at various temperatures and nanoparticles' mass fraction. Finally an empirical equation including temperature, nanoparticles mass fraction, and physical properties of nanoparticles and basefluids was predicted by using hybrid GMDH-type neural network to estimate the interaction parameter between nanoparticles surface and basefluids molecules.
机译:在这项研究中,研究了温度,CuO和TiO2纳米粒子的质量分数以及基础流体类型对纳米流体导热性的影响。通过使用超声波将CuO和TiO2纳米颗粒分别分散在乙醇和液体石蜡模型107,160中。纳米颗粒在基本流体中的稳定性通过DLS和Zeta电位分析进行评估。结果表明,热导率随温度的升高而增强。相反,随着温度的升高,基础流体的热导率降低。这项研究的结果表明,通过增加金属氧化物纳米颗粒的质量分数,纳米流体的热导率增加。同样,通过增加液体石蜡中的氧化物纳米颗粒的浓度,在<1%的浓度下纳米流体的热导率变化是微不足道的,但是通过将纳米颗粒的浓度从1%的质量增加到5%,热导率的变化纳米流体的电导率是显着的。相互作用参数的计算结果表明,在低浓度的金属氧化物纳米颗粒中,金属氧化物纳米颗粒与乙醇分子表面的相互作用大于液体石蜡。结果还表明,在各种温度和纳米粒子的质量分数下,乙醇/ CuO的热导率均大于其他纳米流体(乙醇/ TiO2,液体石蜡/ TiO2和液体石蜡/ CuO)。最后,通过使用混合GMDH型神经网络估计纳米粒子表面与基本流体分子之间的相互作用参数,预测了包括温度,纳米颗粒质量分数以及纳米颗粒和基本流体的物理性质的经验方程。

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