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Bionic inspired study of heat pipe from plant water migration

Hong, Jiaju; Liu, Sheng; Yan, Yuying

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Authors

Jiaju Hong

Sheng Liu

YUYING YAN YUYING.YAN@NOTTINGHAM.AC.UK
Professor of Thermofluids Engineering



Abstract

Heat pipe is well regarded as super thermal conductor and has a wide range of applications in the variety of industry sections. A great number of researches have been done on enhancing the performance of heat pipe through improving the flow pattern. The research on plant water migration based on bionic engineering approach provides a very interesting path to the fluid flow enhancement inside heat pipe, and improvement of inner structure as well. The main forces that drive the water migrates in plants are capillary effect, friction, gravity and transpiration effect, and which are also the main driven forces in heat pipe. Although most researches on heat pipe focus on capillary effect against gravity, transpiration effect is still very important as dragging force occurs when water evaporates. And all these can be investigated through plant water migration. A mathematical model describing the water migration process in plant is proposed in this paper. And the result obtained from mathematical calculation is compared with the experimental measured result using Nuclear Magnetic Resonance (NMR) technology. The perfect matching between the two results confirmed the possibility of using the mathematical model to analyze fluid flow in micro channels, including heat pipe. And it also successfully put transpiration effect and friction into consideration, which give out a clearer view of the forces inside heat pipe for further research.

Citation

Hong, J., Liu, S., & Yan, Y. (2017). Bionic inspired study of heat pipe from plant water migration. Energy Procedia, 110, https://doi.org/10.1016/j.egypro.2017.03.186

Journal Article Type Article
Acceptance Date Jan 1, 2017
Online Publication Date Apr 22, 2017
Publication Date Mar 31, 2017
Deposit Date Jul 20, 2018
Publicly Available Date Jul 20, 2018
Journal Energy Procedia
Print ISSN 1876-6102
Electronic ISSN 1876-6102
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 110
DOI https://doi.org/10.1016/j.egypro.2017.03.186
Keywords bionic engineering; plant water migration; NMR
Public URL https://nottingham-repository.worktribe.com/output/853148
Publisher URL https://www.sciencedirect.com/science/article/pii/S1876610217302163
Contract Date Jul 20, 2018

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