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首页> 外文期刊>Journal of thermal analysis and calorimetry >Experimental investigation and prediction of the thermal conductivity of water-based oxide nanofluids with low volume fractions
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Experimental investigation and prediction of the thermal conductivity of water-based oxide nanofluids with low volume fractions

机译:低体积分数水基氧化物纳米流体导热率的实验研究及预测

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摘要

Although there are already many models for prediction of the thermal conductivity of nanoparticle suspension, most of them only consider the cases for high nanoparticle volume fractions (often 0.1%). Considering the cost of particle itself, pumping and transportation, dispersion stability, etc., low particle concentrations are obviously more preferred. The present study firstly experimentally investigated the thermal conductivity of some oxide colloid suspensions with low particle concentrations. It was found that the famous multi-sphere Brownian model (MSBM) showed a large deviation for thermal conductivity prediction when the particle concentrations are below 0.1%. By introducing an adjustable exponential constant, n, into the volume fraction item of MSBM, the predicted thermal conductivity can be in good agreement with experimental data for the particle volume fractions ranging from 0.001 to 10%. The dependency of n on the particle volume fraction and its possible physical significance were discussed in detail. It turns out that, when the volume fraction is larger than 1%, the modified model can be reduced to the original MSBM. The value of n approximately equals to 0.7 when the volume fractions of nanofluids are lower than 0.005%. Between these two volume fractions, n is found to follow a nearly linear relation with the logarithm of volume fraction. The validity of the modified MSBM model for practical supplication was further justified based on numerical method. The simulation results showed that our model has excellent agreement with Maxwell-Garnetts model in low volume fraction ranges due to the weak interaction between various nanoparticles in the system. Our study should be of value for numerical simulation and engineering design of nanofluids in the future.
机译:尽管已经存在许多用于预测纳米粒子悬浮液的导热率的模型,但大多数情况下仅考虑高纳米颗粒体积级分(通常& 0.1%)。考虑到粒子本身的成本,泵送和运输,分散稳定性等,显然更优选低颗粒浓度。本研究首先通过实验研究了一些氧化物胶体悬浮液的导热率,具有低颗粒浓度。结果发现,当颗粒浓度低于0.1%时,着名的多球形布朗模型(MSBM)显示出热电导预测的大偏差。通过将可调指数常数N引入MSBM的体积分数项中,预测的导热率可以与颗粒体积级分的实验数据吻合良好,其范围为0.001至10%。详细讨论了n对粒子体积分数的依赖性及其可能的物理意义。事实证明,当体积分数大于1%时,可以将修改的模型减少到原始MSBM。当纳米流体的体积分数低于0.005%时,n的值近似等于0.7。在这两个体积分数之间,发现n与体积分数的对数遵循几乎线性的关系。基于数值方法,改进MSBM模型对实际申请模型的有效性。仿真结果表明,由于系统中的各种纳米颗粒之间的弱相互作用,我们的模型与低体积分数范围内的Maxwell-Garnetts模型具有很好的协议。我们的研究应该是未来纳米流体的数值模拟和工程设计的价值。

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