2017
DOI: 10.1016/j.ijheatmasstransfer.2017.07.090
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Flow visualization and analysis of self-rewetting fluids in a model heat pipe

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Cited by 26 publications
(3 citation statements)
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“…So, these fluids were proposed for the first time by Abe and Savino [25][26][27]. Savino et al [28] investigated experimentally and numerically the thermal performance of self-rewetting fluids in an innovative heat pipes. Analysis done by visualize the flow in a groove heat pipe where the Marangoni convection presented a major role on the heat transfer enhancement.…”
Section: Introductionmentioning
confidence: 99%
“…So, these fluids were proposed for the first time by Abe and Savino [25][26][27]. Savino et al [28] investigated experimentally and numerically the thermal performance of self-rewetting fluids in an innovative heat pipes. Analysis done by visualize the flow in a groove heat pipe where the Marangoni convection presented a major role on the heat transfer enhancement.…”
Section: Introductionmentioning
confidence: 99%
“…In addition to the variation induced by the preferential evaporation of the more volatile component, this leads to a reverse Marangoni effect along the liquidvapor interface towards the hotter region [10]. One of the most interesting applications of this effect is a spontaneous liquid inflow towards hot spots or dry patches of evaporation-based heat transfer devices [11].…”
Section: Introductionmentioning
confidence: 99%
“…In particular, for temperatures above T min the surface tension of such fluids is an increasing function of temperature, and as a result Marangoni effects draw fluid towards regions with higher temperature. This unusual behaviour has stimulated interest in the potential use of such fluids in various heat-transfer applications, such as pool boiling, spray boiling and heat pipes, because in these contexts it tends to reduce dry-out, and hence to enhance the overall heat transfer, by rewetting hot surfaces, and so has led to them being termed "self-rewetting" fluids (see, for example, the work of Zhang [5], Abe, Iwasaki and Tanaka [6,7], Abe [8], Savino and collaborators [9][10][11][12][13][14][15], Hu et al [16], Hu, Zhang and Wang [17], and Wu [18]).…”
Section: Introductionmentioning
confidence: 99%