The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Nanowires for Enhanced Boiling Heat Transfer
Abstract
Boiling is a common mechanism for liquid-vapor phase transition and is widely exploited in power generation and refrigeration devices and systems. The efficacy of boiling heat transfer is characterized by two parameters: (a) heat transfer coefficient (HTC) or the thermal conductance; (b) the critical heat flux (CHF) limit that demarcates the transition from high HTC to very low HTC. While increasing the CHF and the HTC has significant impact on system-level energy efficiency, safety, and cost, their values for water and other heat transfer fluids have essentially remained unchanged for many decades. Here we report that the high surface tension forces offered by liquids in nanowire arrays made of Si and Cu can be exploited to increase both the CHF and the HTC by more than 100%.
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Cites
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Cited by
Three-Dimensional Superhydrophobic Nanowire Networks for Enhancing Condensation Heat Transfer
Wen, R., Xu, S., Ma, X., Lee, Y.-C., & Yang, R. (2018) · Joule · doi:10.1016/j.joule.2017.11.010 · Cited by 282
Interfacial heat transfer during microdroplet evaporation on a laser heated surface
Putnam, S. A., Briones, A. M., Ervin, J. S., Hanchak, M. S., Byrd, L. W., & Jones, J. G. (2012) · International Journal of Heat and Mass Transfer · doi:10.1016/j.ijheatmasstransfer.2012.05.067 · Cited by 25
Metadata
- Authors
- Chen, R., Lu, M.-C., Srinivasan, V., Wang, Z., Cho, H. H., & Majumdar, A.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-01-16
- Volume
- 9
- Issue
- 2
- Pages
- 548-553
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2086078211
- Cited by
- 699
- References
- 15
- FWCI
- 62.56
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.