Droplets Impacting on Superheated Surfaces with Asymmetric Re-Entrant Microgrooves.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Ting-Yu Hsu, Hung-Chih Chen, Chung-Te Huang, Chuanhua Duan, Ming-Chang Lu
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引用次数: 0

Abstract

Impacting droplets on hot solid surfaces is a widely used method for thermal management across various applications. Efficient heat transfer relies on the rapid detachment and directional shedding of these impacting droplets. Additionally, suppressing the Leidenfrost effect is crucial. However, there are currently no engineered surfaces that can simultaneously achieve reduced contact time, directional droplet shedding, and Leidenfrost suppression at high temperatures. This work introduces a novel type of surface with asymmetric re-entrant microgrooves (ARG surfaces) to address this challenge. ARG surfaces demonstrate Leidenfrost points (LFPs) as high as 725 °C and contact times lower than the theoretical limit at temperatures ranging from 350 to 650 °C. Additionally, they exhibit superior droplet centroid velocities and non-dimensional displacement factors. A theoretical model is also developed to predict the LFPs of these surfaces. Furthermore, temperature profiles of plain Si and ARG surfaces upon droplet impact confirm the superior cooling performance of ARG surfaces compared to plain Si. These results highlight the potential of ARG surfaces for achieving efficient cooling in diverse high-temperature applications.

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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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