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Viscosity-prediction models of ammonia water nanofluids based on various dispersion types

机译:基于不同分散类型的氨水纳米流体的粘度预测模型

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This paper intends to apply the techniques that nano-particles enhance the heat and mass transfer to the ammonia water absorption refrigeration. Three types of nanofluids were obtained by adding the mixture of carbon black with emulsifier OP-10, ZnFe2O4 with sodium dodecyl benzene sulfonate (SDBS), and Fe2O3 with SDBS to the ammonia water solution, respectively. A series of experiments was performed to investigate the viscosities of the three kinds of nanofluids. The results show that, the content of surfactant and nano-particles, the interaction between surfactant and nano-particles, and the dispersion type are the key parameters that affect the viscosity of ammonia water nanofluid. Based on Einstein model and considering the solvation effect, two models to estimate the viscosity of ammonia water nanofluids were proposed in this paper. One is to analyze monolayer adsorption without considering the decrease of "free" surfactant content in ammonia water basefluid. The other model is to analyze electric double layer (EDL) adsorption, while taking the change of "free" surfactant content in ammonia water basefluid into account The presented models and other theoretical models have been compared with experimental data. The comparison results show the presented models, in general, have higher accuracies and precisions.
机译:本文打算将纳米颗粒增强传热和传质的技术应用到氨水吸收制冷中。通过将炭黑与乳化剂OP-10,ZnFe2O4与十二烷基苯磺酸钠(SDBS)的混合物和Fe2O3与SDBS的混合物分别添加到氨水溶液中,可以得到三种类型的纳米流体。进行了一系列实验以研究三种纳米流体的粘度。结果表明,表面活性剂和纳米颗粒的含量,表面活性剂和纳米颗粒之间的相互作用以及分散类型是影响氨水纳米流体粘度的关键参数。基于爱因斯坦模型,考虑到溶剂化作用,提出了两种估算氨水纳米流体粘度的模型。一种是分析单层吸附,而不考虑氨水基液中“游离”表面活性剂含量的减少。另一个模型是分析双电层(EDL)吸附,同时考虑到氨水基液中“游离”表面活性剂含量的变化。该模型和其他理论模型已与实验数据进行了比较。比较结果表明,所提出的模型总体上具有较高的准确性和精度。

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