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      Simultaneous measurement of heat flux and droplet population during dropwise condensation from humid air flowing on a vertical surface

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          The Relationship between Relative Humidity and the Dewpoint Temperature in Moist Air: A Simple Conversion and Applications

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            Sol–gel coatings on metals for corrosion protection

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              Scalable graphene coatings for enhanced condensation heat transfer.

              Water vapor condensation is commonly observed in nature and routinely used as an effective means of transferring heat with dropwise condensation on nonwetting surfaces exhibiting heat transfer improvement compared to filmwise condensation on wetting surfaces. However, state-of-the-art techniques to promote dropwise condensation rely on functional hydrophobic coatings that either have challenges with chemical stability or are so thick that any potential heat transfer improvement is negated due to the added thermal resistance of the coating. In this work, we show the effectiveness of ultrathin scalable chemical vapor deposited (CVD) graphene coatings to promote dropwise condensation while offering robust chemical stability and maintaining low thermal resistance. Heat transfer enhancements of 4× were demonstrated compared to filmwise condensation, and the robustness of these CVD coatings was superior to typical hydrophobic monolayer coatings. Our results indicate that graphene is a promising surface coating to promote dropwise condensation of water in industrial conditions with the potential for scalable application via CVD.
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                Author and article information

                Journal
                Experimental Thermal and Fluid Science
                Experimental Thermal and Fluid Science
                Elsevier BV
                08941777
                August 2022
                August 2022
                : 136
                : 110677
                Article
                10.1016/j.expthermflusci.2022.110677
                57174b17-10cd-48a8-ba57-c2767a0f103a
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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