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Model for predicting particle size evolution during nanoparticle aggregation in refrigerant-oil mixture

机译：制冷剂-油混合物中纳米粒子聚集过程中预测粒径演变的模型

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Highlights•The aggregation behavior of nanoparticles in refrigerant–oil mixture was modeled.•The effect of competitive adsorption on particle aggregation was considered.•The model prediction agrees well with the existing experimental data.•The model can reflect the influences of several factors on particle size evolution.AbstractNanorefrigerant–oil mixture is a promising energy-efficient refrigeration working fluid with superior thermophysical properties, and the prediction for its thermophysical properties requires the actual size of the particles in refrigerant–oil mixture. Due to the competitive adsorption of different liquid molecules on particle surface, the actual particle size of refrigerant–oil mixture cannot be predicted by the existing models developed for the nanofluids with single-component base fluid. This paper presents a model for predicting the particle size evolution during nanoparticle aggregation in refrigerant–oil mixture, considering the competitive adsorption behavior and its effects on particle movement and interaction. For model validation, the time-evolution of particle size distribution and the average size are calculated and compared with the existing experimental data. The model prediction agrees with 92% of the experimental data within deviation of ±10% and the mean deviation is 3.7%. In addition, the model can reflect the influences of oil mass fraction, initial particle concentration, primary nanoparticle diameter and temperature on particle size evolution. It is found that the adsorption layer has a significant effect on the aggregation behavior and the particle size evolution.
机译： 突出显示 • 对制冷剂-机油混合物中纳米颗粒的聚集行为进行了建模。 • 考虑了竞争性吸附对颗粒聚集的影响。 • 模型预测与现有实验数据非常吻合。 • 该模型可以反映零件上几个因素的影响 摘要 纳米制冷剂-油混合物是一种有前途的节能制冷工作流体，具有出色的热物理性能，对其热物理性能的预测需要颗粒的实际尺寸在制冷剂-机油混合物中。由于不同液体分子在颗粒表面上的竞争性吸附作用，制冷剂-油混合物的实际粒径无法通过为单组分基础液纳米流体开发的现有模型进行预测。本文提出了一种模型，该模型考虑了竞争性吸附行为及其对颗粒运动和相互作用的影响，从而预测了制冷剂-油混合物中纳米颗粒聚集过程中颗粒大小的演变。为了进行模型验证，计算了粒度分布的时间演化和平均粒度，并将其与现有的实验数据进行了比较。模型预测与实验数据的92％一致，偏差为±10％，平均偏差为3.7％。另外，该模型可以反映出油质量分数，初始颗粒浓度，初级纳米颗粒直径和温度对粒度演变的影响。发现吸附层对聚集行为和粒度演变有显着影响。

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