Computational modelling of nanofluids for industrial applications

在换热流体中使用纳米颗粒，也就是所谓的纳米流体，可以增加其比热和导热系数。最近的实验工作强调，在纳米流体中存在着明显的反常输运现象，这是经典守恒定律无法充分描述的。我们将扩展这些守恒定律，加入分数算子，以捕捉流体记忆效应和粒子聚集的影响。将进行计算建模和实验研究，以确定各种纳米流体的热传递机制。这项工作的成果将增加对纳米流体的了解，并为提高许多热工系统的效率提供重要机会。

The use of nanoparticles in heat transfer fluids, then known as nanofluids, increases their specific heat and thermal conductivity. Recent experimental works highlight that anomalous transport phenomena are evident in nanofluids that cannot be adequately described by classical conservation laws. We will extend these conservation laws to incorporate fractional operators to capture the fluid memory effects and the impact of particle clustering. Computational modelling and experimental investigations will be undertaken to identify the heat transfer mechanisms of various nanofluids. The outcomes of the work will increase knowledge on nanofluids and offer a significant opportunity to improve the efficiency of many thermal engineering systems.