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Predicting thermal conductivity of liquid suspensions of nanoparticles (nanofluids) based on rheology 被引量:10

Predicting thermal conductivity of liquid suspensions of nanoparticles (nanofluids) based on rheology
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摘要 A methodology is proposed for predicting the effective thermal conductivity of dilute suspensions of nanoparticles (nanofluids) based on rheology. The methodology uses the rheological data to infer microstructures of nanoparticles quantitatively, which is then incorporated into the conventional Hamilton-Crosser equation to predict the effective thermal conductivity of nanofluids. The methodology is experimentally validated using four types of nanofluids made of titania nanoparticles and titanate nanotubes dispersed in water and ethylene glycol. And the modified Hamilton-Zrosser equation successfully predicted the effective thermal conductivity of the nanofluids. A methodology is proposed for predicting the effective thermal conductivity of dilute suspensions of nanoparticles (nanofluids) based on rheology. The methodology uses the rheological data to infer microstructures of nanoparticles quantitatively, which is then incorporated into the conventional Hamilton-Crosser equation to predict the effective thermal conductivity of nanofluids. The methodology is experimentally validated using four types of nanofluids made of titania nanoparticles and titanate nanotubes dispersed in water and ethylene glycol. And the modified Hamilton-Zrosser equation successfully predicted the effective thermal conductivity of the nanofluids.
出处 《Particuology》 SCIE EI CAS CSCD 2009年第2期151-157,共7页 颗粒学报(英文版)
基金 supported by the UK EPSRC under Grants EP/F027389/1,EP/F023014/1,EP/D000645/1 and EP/F000464/1 The British Council PMI2 Scheme under Grant RC177
关键词 Nanofluids Thermal conductivity RHEOLOGY VISCOSITY MICROSTRUCTURE Nanofluids Thermal conductivity Rheology Viscosity Microstructure
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