纳米冷冻机油热导率的实验研究

doi:10.16085/j.issn.1000-6613.2015.02.030

化工进展 ›› 2015, Vol. 34 ›› Issue (02): 495-499.DOI: 10.16085/j.issn.1000-6613.2015.02.030

纳米冷冻机油热导率的实验研究

娄江峰¹, 张华¹, 王瑞祥²

1. 上海理工大学能源与动力工程学院, 上海 200093;
2. 北京建筑大学环境与能源工程学院, 北京 100043

收稿日期:2014-09-09 修回日期:2014-10-08 出版日期:2015-02-05 发布日期:2015-02-05
通讯作者: 张华,教授,博士生导师,主要从事制冷空调与新能源利用方向的研究。E-mail:zhanghua3000@163.com
作者简介:娄江峰(1985-),男,博士研究生,主要从事纳米制冷技术的研究
基金资助:
国家自然科学基金(51176124)、上海市曙光计划(跟踪)(10GG21)及上海市研究生创新基金(JWCXSL1101)项目

Experimental study on the thermal conductivity of nano-refrigeration-oil

LOU Jiangfeng¹, ZHANG Hua¹, WANG Ruixiang²

1. School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 20093, China;
2. School of Environment and Energy Engineering, Beijing University of Civil Engineering and Architecture, Beijing100044, China

Received:2014-09-09 Revised:2014-10-08 Online:2015-02-05 Published:2015-02-05

摘要/Abstract

摘要： 采用两步法,以聚乙烯吡咯烷酮(PVP)为表面活性剂,制备了不同种类的纳米冷冻机油并对其分散稳定性进行了实验研究。采用Hot Disk热常数分析仪,测量了40℃下纳米冷冻机油(纳米材料为TiO₂、Al₂O₃、Fe₂O₃、石墨和碳纳米管,体积分数为0.05%、0.1%、0.2%、0.5%、1%和2%)的热导率,分析研究了颗粒体积分数、粒径、材质以及表面活性剂等因素的影响。结果表明:纳米冷冻机油的热导率随着颗粒体积分数的提高而增大;相同体积分数下随着颗粒粒径的增大而减小,而相同粒径下又随着颗粒材质热导率的提高而增大;同时分散稳定性优的纳米冷冻机油热导率较高。基于纳米粒子的体积分数、粒径、团聚理论和布朗运动开发了纳米冷冻机油热导率预测模型,并与实验数据进行比较,发现预测值与90%的实验数据偏差在±3%以内,平均偏差1.6%。

关键词: 纳米粒子, 表面活性剂, 分散, 热导率, 粒径, 预测模型

Abstract: Naphthenic nano-refrigeration-oils (NROs) with different types of nanoparticles were prepared by two-step method with polyvinyl pyrrolidone (PVP) as surfactant. The dispersion stability and the thermal conductivity of the NROs were investigated experimentally by Shimadzu UV-Vis and Hot Disk thermal constant analyzer,respectively. The NROs with various nanparticles (including TiO₂、Al₂O₃、Fe₂O₃、graphite and CNT) with volume fractions of 0.05%,0.1%,0.2%,0.5%,1% and 2% were tested at 40℃. And the influence of volume fraction,particle size,material and surfactant was analyzed. The results show that the thermal conductivity of NROs increases with the increase of nanoparticle volume fractions. The thermal conductivity of NROs shows a downward trend when the particle size increases at the same volume fraction. While at same particle size it improves with the thermal conductivity of particle material. Besides,the NROs with better dispersion stability have higher thermal conductivity. A model for predicting the thermal conductivity of NROs was developed based on volume fraction,particles,aggregation theory and Brownian movement of nanoparticles. The predictions of the model agree with 90% of experimental data within the deviation of ±3%,and the mean deviation of 1.6%.

Key words: nanoparticles, surfactants, dispersion, thermal conductivity, particle size, prediction model

中图分类号:

娄江峰, 张华, 王瑞祥. 纳米冷冻机油热导率的实验研究[J]. 化工进展, 2015, 34(02): 495-499.

LOU Jiangfeng, ZHANG Hua, WANG Ruixiang. Experimental study on the thermal conductivity of nano-refrigeration-oil[J]. Chemical Industry and Engineering Progree, 2015, 34(02): 495-499.

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纳米冷冻机油热导率的实验研究

Experimental study on the thermal conductivity of nano-refrigeration-oil

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