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Enhancing Thermal Conductivity of Fluids With Nanoparticles
Open accessAbstract
Low thermal conductivity is a primary limitation in the development of energy-efficient heat transfer fluids that are required in many industrial applications. In this paper we propose that an innovative new class of heat transfer fluids can be engineered by suspending metallic nanoparticles in conventional heat transfer fluids. The resulting “nanofluids” are expected to exhibit high thermal conductivities compared to those of currently used heat transfer fluids, and they represent the best hope for enhancement of heat transfer. The results of a theoretical study of the thermal conductivity of nanofluids with copper nanophase materials are presented, the potential benefits of the fluids are estimated, and it is shown that one of the benefits of nanofluids will be dramatic reductions in heat exchanger pumping power.
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Cited by
Buoyancy-driven heat transfer enhancement in a two-dimensional enclosure utilizing nanofluids
Khanafer, K., Vafai, K., & Lightstone, M. (2003) · International Journal of Heat and Mass Transfer · doi:10.1016/s0017-9310(03)00156-x · Cited by 2,975
Ho, C. J., Liu, W. K., Chang, Y. S., & Lin, C. C. (2010) · International Journal of Thermal Sciences · doi:10.1016/j.ijthermalsci.2010.02.013 · Cited by 816
Khodadadi, J. M., & Hosseinizadeh, S. F. (2007) · International Communications in Heat and Mass Transfer · doi:10.1016/j.icheatmasstransfer.2007.02.005 · Cited by 715
Amin, M., Putra, N., Kosasih, E. A., Prawiro, E., Luanto, R. A., & Mahlia, T. M. I. (2017) · Applied Thermal Engineering · doi:10.1016/j.applthermaleng.2016.10.085 · Cited by 370
Recent progress in solar thermal energy storage using nanomaterials
Ahmed, S. F., Khalid, M., Rashmi, W., Chan, A., & Shahbaz, K. (2017) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2016.09.034 · Cited by 148
Metadata
- Authors
- Choi, S. U. S.
- Venue
- Developments and Applications of Non-Newtonian Flows
- Published
- 1995-11-12
- Volume
- 231
- Pages
- 99-105
- OpenAlex
- W2979562792
- Cited by
- 9,324
- References
- 0
- FWCI
- 0.00
- Type
- conference paper
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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