Cardellini Annalisa, Fasano Matteo, Bozorg Bigdeli Masoud, Chiavazzo Eliodoro, Asinari Pietro
Department of Energy, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy.
J Phys Condens Matter. 2016 Dec 7;28(48):483003. doi: 10.1088/0953-8984/28/48/483003. Epub 2016 Oct 4.
Nanoparticle suspensions in liquids have received great attention, as they may offer an approach to enhance thermophysical properties of base fluids. A good variety of applications in engineering and biomedicine has been investigated with the aim of exploiting the above potential. However, the multiscale nature of nanosuspensions raises several issues in defining a comprehensive modelling framework, incorporating relevant molecular details and much larger scale phenomena, such as particle aggregation and their dynamics. The objectives of the present topical review is to report and discuss the main heat and mass transport phenomena ruling macroscopic behaviour of nanosuspensions, arising from molecular details. Relevant experimental results are included and properly put in the context of recent observations and theoretical studies, which solved long-standing debates about thermophysical properties enhancement. Major transport phenomena are discussed and in-depth analysis is carried out for highlighting the role of geometrical (nanoparticle shape, size, aggregation, concentration), chemical (pH, surfactants, functionalization) and physical parameters (temperature, density). We finally overview several computational techniques available at different scales with the aim of drawing the attention on the need for truly multiscale predictive models. This may help the development of next-generation nanoparticle suspensions and their rational use in thermal applications.
液体中的纳米颗粒悬浮液受到了广泛关注,因为它们可能提供一种增强基础流体热物理性质的方法。为了利用上述潜力,人们对工程和生物医学中的多种应用进行了研究。然而,纳米悬浮液的多尺度性质在定义一个综合建模框架时引发了几个问题,该框架要纳入相关的分子细节以及更大尺度的现象,如颗粒聚集及其动力学。本专题综述的目的是报告和讨论由分子细节引起的、支配纳米悬浮液宏观行为的主要传热传质现象。文中纳入了相关实验结果,并将其恰当地置于近期观察和理论研究的背景下,这些研究解决了关于热物理性质增强的长期争论。讨论了主要的传输现象,并进行了深入分析,以突出几何参数(纳米颗粒形状、尺寸、聚集、浓度)、化学参数(pH值、表面活性剂、功能化)和物理参数(温度、密度)的作用。我们最后概述了几种不同尺度下可用的计算技术,旨在提请人们关注对真正的多尺度预测模型的需求。这可能有助于下一代纳米颗粒悬浮液的开发及其在热应用中的合理使用。