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	颗粒团聚对低浓度纳米流体热性质和热过程的影响
	王补宣 ; WANG Buxuan
	2010-06-08 ; 2010-06-08
关键词	纳米流体 颗粒团聚 团簇的宏观统计特征量 纳米流体热物性的预测 Nanofluid Particle clustering Macroscopic characteristic of clusters Prediction of thermal properties of nanofluids TB383.1
其他题名	Effect of Particles Clustering on the Thermal Properties and Thermal Processes of Dilute Nanofluids
中文摘要	添加纳米颗粒的悬浮液正在成为迅速开发应用中的新型功能流体,并被命名为"纳米流体"。颗粒在液体中的随机布朗运动和颗粒表面的吸附促成了颗粒团聚成簇,改变了悬浮液的均匀性,引起悬浮液物性的变异,影响了热过程的特性。提出以纳米颗粒团聚统计平均尺度的团簇表观特征量的解析计算方法,计算简易,物理含义清晰易懂。将悬浮液视作悬浮的开放型多孔结构,成功地按有效介质理论预测团簇分布不均匀的特性影响,这对有意识地筛选纳米流体的匹配具有实际指导意义。; The advances in R&D of the nanofluids are reviewed briefly. The particles suspending in a fluid will aggregate into clusters under the action of Brownian moving force and the Van de Waal force against the gravity. The formation and its development of Clusters are self-sustainable, and the distribution of both particles and clusters follow the log-mean probability curve. As a general consideration, the nano-sized particles with radius, R, combined with its surface adsorptive layer, thick d, is treated as the aggregating element. Analytical equations (6), (8), (9) and (11) are derived to determine the statistical-mean characteristic parameters of clusters. By the approximate theory of effective medium (EM), the thermal conductivity,λ, the thermal diffusivity, α, and the viscosity, ν, of the nanofluid (NF) can be thus predicted. This unified method proposed is clear and definite in physical concepts. Such predictions would be valuable for the research of screening and optimizing the nanofluid to serve as an effective novel working fluid.; 国家自然科学基金资助项目(5999550-3)
语种	中文 ; 中文
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/50430]
专题	清华大学
推荐引用方式 GB/T 7714	王补宣,WANG Buxuan. 颗粒团聚对低浓度纳米流体热性质和热过程的影响[J],2010, 2010.
APA	王补宣,&WANG Buxuan.(2010).颗粒团聚对低浓度纳米流体热性质和热过程的影响..
MLA	王补宣,et al."颗粒团聚对低浓度纳米流体热性质和热过程的影响".(2010).

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