Determination of heat transport mechanism using nanoparticle property and interfacial nanolayer in a nanofluidic system
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An oil based nanofluid including silver as to be nanoparticles was created by EEW method as a one‐step method in three different volume fractions have been experimentally studied. Assessing the stability and viscosity of the nanofluids was involved in this work. The results show that the nanofluids behave in both of Newtonian and non‐Newtonian in different volume concentrations. Also, an enhancement in viscosity of nanofluids has been recognized. In addition, based on the experimental results of this study and the other previous published studies on the oil based nanofluids, a correlation for predicting viscosity of oil based nanofluids has been developed and a good agreement between the experimental viscosity of applied nanofluids in this study and the predicted one has been achieved.
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The present research reports nanofluid effective thermal conductivity enhancements (ETCE) using an accurate transient short hot wire method system. Preparation of nanofluids was carried out through a two-step method with highly powered pulses similar to that for nanoparticle dispersion in base fluids. Parameters affecting nanofluid heat conductivity such as concentration, sizes, and material of nanoparticleş type of base fluid, temperature, ultrasonic mixing time, and elapsed time after preparation were studied. In the present study, nanoparticles of Al, Al2O3, CuO, SnO2, TiO2, and SiO2 with base fluids of water and ethylene glycol were used. Parameters like concentration, size, temperature, and the type of base fluid showed more noticeable effect on the effective thermal conductivity than the others, and mixing time had the least effect. The results showed that any increase in concentration and temperature, and also any decrease in size of nanoparticles and time elapsed after nanofluid preparation, leads to the ETCE of the nanofluid. However, the effects of nanoparticle material, base fluid, and mixing time on thermal conductivity of the nanofluid showed varying trends. Last, a number of mathematical models for prediction of thermal conductivity of nanofluids were applied.
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为了调查提高热和氨水吸收的集体转移的 nanoparticles 的机制，处理，二进制 nanofluids 的几种类型被与 polyacrylic 混合 Al2O3 nanoparticles 准备酸(泛美航空公司)，有聚乙烯乙二醇(木钉 1000 )的 TiO2 ，和锡，原文如此 hydroxyapatite (像笨蛋)与到氨水答案的木钉 10000 分别地。热传导性被使用 KD2 测量职业人员热性质分析器。二进制 nanofluids 的分散稳定性上的表面活化剂和氨的影响被轻吸收性比率索引方法调查。结果证明 nanoparticles，温度以及分散稳定性的类型，内容和尺寸是影响 nanofluids 的热传导性的关键参数。为给定的 nanoparticle 材料和基础液体，到氨水液体的 nanofluid 的热传导性比率作为 nanoparticle 内容和温度增加被增加，并且 nanoparticle 的直径被减少。而且，热传导性比率由改进 nanofluids 的稳定性显著地增加，它被增加表面活化剂或在液体执行合适的氨内容完成。
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