Self-Adaptive Droplet Bouncing on a Dual Gradient Surface

Chenyang Wu, Xuezhi Qin, Huanxi Zheng, Zhenyu Xu, Yuxin Song, Yuankai Jin, Huanhuan Zhang, Jiaying Mo, Wanbo Li, Jian Lu, Zuankai Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Rapid detachment of impacting droplets from underlying substrate is highly preferred for mass, momentum, and energy exchange in many practical applications. Driven by this, the past several years have witnessed a surge in engineering macrotexture to reduce solid-liquid contact time. Despite these advances, these strategies in reducing contact time necessitate the elegant control of either the spatial location for droplet contact or the range of impacting velocity. Here, this work circumvents these limitations by designing a dual gradient surface consisting of a vertical spacing gradient made of tapered pillar arrays and a lateral curvature gradient characterized as macroscopic convex. This design enables the impacting droplets to self-adapt to asymmetric or pancake bouncing mode accordingly, which renders significant contact time reduction (up to ≈70%) for a broad range of impacting velocities (≈0.4–1.4 m s−1) irrespective of the spatial impacting location. This new design provides a new insight for designing liquid-repellent surfaces, and offers opportunities for applications including dropwise condensation, energy conversion, and anti-icing.

Original languageEnglish
JournalSmall
DOIs
Publication statusAccepted/In press - 2023

Keywords

  • contact time
  • droplet bouncing
  • dual gradient
  • fluid dynamics
  • self-adaptive

ASJC Scopus subject areas

  • Biotechnology
  • General Chemistry
  • Biomaterials
  • General Materials Science
  • Engineering (miscellaneous)

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