氧化石墨烯/乙二醇纳米流体动力粘度研究  

Experimental Study on the Flow Characteristic of Graphene Oxide/Ethylene Glycol Nanofluids

作　　者：陈璇 殷德顺[1] Chen Xuan;Yin Deshun(College of Mechanics and Materials,Hohai University,Nanjing,210000)

机构地区：[1]河海大学力学与材料学院,南京210000

出　　处：《制冷与空调（四川）》2022年第3期377-381,共5页Refrigeration and Air Conditioning

基　　金：国家自然科学基金资助项目(11872173)。

摘　　要：纳米流体作为一种新型传热工质,为研究其动力粘度,通过两步法制备了体积分数0.2%-1.0%的试样,并在剪切速率26.4-118.8s^(-1)及温度10℃-30℃下进行了粘度测量试验,结果表明:该纳米流体的粘度随剪切速率的增大而迅速升高,在较高剪切速率时粘度变化幅度很小;其粘度随温度升高而显著降低,下降速率逐渐减小;其粘度大致随体积分数递增。此外,还发现了少量添加的氧化石墨烯能降低基液粘度的反常现象,这对于降低泵送功率有利。最后,基于机器学习的支持向量机方法建立了粘度模型,与试验数据吻合较好,展现了优异的预测能力。To investigate the viscosity characteristic of GO/EG nanofluids with various influential factors,nanofluids with a volume fraction of 0.2%-1.0%were prepared by two-step method and measured at several shear rates and temperatures with ranges of 26.4-118.8 s^(-1) and 10-30℃,respectively.Results indicate that this nanofluid is shear-thickening fluid,showing much smaller viscosity fluctuations at higher shear rates.Furthermore,the viscosity of nanofluids decreases with rising temperature sharply,while increases with growing volume fraction roughly.Besides,it is notable that the slight addition of GO can reduce the viscosity of based fluids,implying the decrease of pumping power.Finally,the viscosity model has been built based on support vector machine algorithm and is in good agreement with experiments.

关 键 词：纳米流体 氧化石墨烯 动力粘度 支持向量机 

分 类 号：TK124[动力工程及工程热物理—工程热物理]