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Large-scale Generation of Patterned Bubble Arrays on Printed Bi-functional Boiling Surfaces

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https://ir.library.oregonstate.edu/concern/articles/00000159w

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  • Bubble nucleation control, growth and departure dynamics is important in understanding boiling phenomena and enhancing nucleate boiling heat transfer performance. We report a novel bi-functional heterogeneous surface structure that is capable of tuning bubble nucleation, growth and departure dynamics. For the fabrication of the surface, hydrophobic polymer dot arrays are first printed on a substrate, followed by hydrophilic ZnO nanostructure deposition via microreactor-assisted nanomaterial deposition (MAND) processing. Wettability contrast between the hydrophobic polymer dot arrays and aqueous ZnO solution allows for the fabrication of heterogeneous surfaces with distinct wettability regions. Heterogeneous surfaces with various configurations were fabricated and their bubble dynamics were examined at elevated heat flux, revealing various nucleate boiling phenomena. In particular, aligned and patterned bubbles with a tunable departure frequency and diameter were demonstrated in a boiling experiment for the first time. Taking advantage of our fabrication method, a 6 inch wafer size heterogeneous surface was prepared. Pool boiling experiments were also performed to demonstrate a heat flux enhancement up to 3X at the same surface superheat using bi-functional surfaces, compared to a bare stainless steel surface.
  • This is the publisher’s final pdf. The published article is copyrighted by the author(s) and published by Nature Publishing Group. The published article can be found at: http://www.nature.com/srep/. Supplementary Information and Movies S1-S5 are available online at: http://www.nature.com/articles/srep23760#s1
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  • Choi, C. H., David, M., Gao, Z., Chang, A., Allen, M., Wang, H., & Chang, C. H. (2016). Large-scale Generation of Patterned Bubble Arrays on Printed Bi-functional Boiling Surfaces. Scientific Reports, 6, 23760. doi:10.1038/srep23760
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  • 6
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  • This work is partially supported by OSU Venture Development Fund and NSF Scalable Nanomanufacturing program under Grant No. CBET-1449383.
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