3D-Printed Vapor Guiding Structures for Enhanced Pool Boiling Heat Transfer DOI

Dong Il Shim,

Maroosol Yun, Yong-Hyeon Kim

et al.

International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 109865 - 109865

Published: Nov. 1, 2024

Language: Английский

A dual-biomimetic surface with leaf-skeleton-based hierarchical structures for efficient atmospheric water harvesting DOI
Qiyu Chen,

Fabian Javier Medina,

Qing Hao

et al.

Applied Physics Letters, Journal Year: 2025, Volume and Issue: 126(1)

Published: Jan. 6, 2025

Atmospheric water harvesting (AWH) has been extensively researched as a sustainable solution to current freshwater scarcity. Various bioinspired AWH surfaces have developed enhance water-harvesting performance, yet challenges remain in optimizing their structures. In this work, we report dual-biomimetic surface that combines beetle-inspired heterogeneous wettability with leaf-skeleton-based hierarchical microstructures on rigid substrate. An authentic leaf skeleton innovatively serves the mask during photolithography complemented by O2-plasma treatment, enabling precise design of superhydrophilic SiO2 structures hierarchy vein orders forming reticulate meshes hydrophobic Si This facilitates enhanced collection through intricate and directional droplet transport along abundant multi-order veins. Such shows efficiency 172 mg cm−2 h−1, increasing up 62% 58% over pristine SiO2/Si wafer wafer, respectively. Additionally, role structure orientation open-surface is explored while vertically placed process. work highlights potential using meticulous natural designs, like skeletons, improve surfaces, broad applications compact devices, such on-chip evaporative cooling planar microfluidics manipulation.

Language: Английский

Citations

1

Rayleigh-Bénard Convection with Phase Change Close to the Critical Point DOI
Valentin Mouet, Guillaume Michel,

François Pétrélis

et al.

Physical Review Letters, Journal Year: 2025, Volume and Issue: 134(10)

Published: March 10, 2025

Rayleigh-B\'enard convection is investigated with sulfur hexafluoride (${\mathrm{SF}}_{6}$) in the vicinity of its critical point. In supercritical domain, direct measurements heat flux $Q$ as a function temperature difference $\mathrm{\ensuremath{\Delta}}T$ are consistent usual scaling laws single-phase turbulent convection. Along liquid-vapor coexistence curve, fluxes dramatically enhanced by condensation and boiling. Optical performed to document size velocity bubbles. We report $Q(\mathrm{\ensuremath{\Delta}}T,\ensuremath{\epsilon})$ both domains, $\ensuremath{\epsilon}$ dimensionless distance Critical observed that can guide development theoretical models. addition, this documents system diverging transfer coefficient, i.e., which significant be achieved an arbitrarily small $\ensuremath{\epsilon}\ensuremath{\rightarrow}0$.

Language: Английский

Citations

0

A review of flow boiling heat transfer: Theories, new methods and emerging applications DOI
Tao Ding, Xiaoxuan Chen, Ziyong Li

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2025, Volume and Issue: 215, P. 115615 - 115615

Published: March 21, 2025

Language: Английский

Citations

0

Data-driven discovery of phase field dynamics: a physics-informed neural network-based approach to the Allen–Cahn equation DOI

Nek Muhammad Katbar,

Shengjun Liu, Hongjuan Liu

et al.

The European Physical Journal Plus, Journal Year: 2025, Volume and Issue: 140(4)

Published: April 23, 2025

Language: Английский

Citations

0

Manipulating Boiling Bubble Dynamics on Under‐Liquid Superaerophobic Silicon Surfaces for High‐Performance Phase‐Change Cooling DOI Open Access

Chuanghui Yu,

Zhe Xu,

Shaofan He

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 5, 2025

Abstract Enhancing critical heat flux (CHF) and transfer coefficient (HTC) by promoting the nucleation, growth, departure of boiling bubbles has drawn significant attention owing to its wide applications. However, in‐depth understanding comprehensive manipulation under‐liquid bubble dynamics from in situ microscale perspectives remain challenging. Herein, observations analyses microsized ultra‐low surface tension fluorinated liquids (FLs) are conducted on superaerophobic silicon surfaces with crisscross microchannels selective nanowires. It is revealed that deep yet short nanowires enable ultrafast liquid spreading (<549.6 ms) ultralow adhesion (≈1.1 µN), while an appropriate spacing (240–600 µm) between minimizes time (<20.6 due timely coalescence. By verifying above principles through collaborative enhancement CHF HTC, optimized structure (microchannel depth ≈52.9 µm, microchannel ≈362.9 nanowire length ≈0 nm) obtained further implemented onto exposed Si a commercial CPU chip. Cooled phase‐change FLs, average temperature maintains ≈64.9 °C even under extreme power loads (≈130 W), far below than those conventional air‐cooling water‐cooling operations.

Language: Английский

Citations

0

Nonintrusive identification of boiling regimes enabled by deep learning based on flow boiling acoustics DOI
Kai Zhang, Jingshan Yang, Caifeng Huang

et al.

International Journal of Heat and Mass Transfer, Journal Year: 2024, Volume and Issue: 236, P. 126290 - 126290

Published: Oct. 9, 2024

Language: Английский

Citations

2

DropletMask: Leveraging visual data for droplet impact analysis DOI Creative Commons

Chuanning Zhao,

Youngjoon Suh, Yoonjin Won

et al.

Droplet, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 3, 2024

Abstract Machine learning‐assisted computer vision represents a state‐of‐the‐art technique for extracting meaningful features from visual data autonomously. This approach facilitates the quantitative analysis of images, enabling object detection and tracking. In this study, we utilize advanced to precisely identify droplet motions quantify their impact forces with spatiotemporal resolution at picoliter or millisecond scale. Droplets, captured by high‐speed camera, are denoised through neuromorphic image processing. These processed images employed train convolutional neural networks, allowing creation segmented masks bounding boxes around moving droplets. The trained networks further digitize time‐varying multi‐dimensional features, such as diameters, spreading sliding motions, corresponding forces. Our innovative method offers accurate measurement small approximately 10 pico‐newtons droplets in micrometer range across various configurations time hundreds microseconds.

Language: Английский

Citations

1

3D-Printed Vapor Guiding Structures for Enhanced Pool Boiling Heat Transfer DOI

Dong Il Shim,

Maroosol Yun, Yong-Hyeon Kim

et al.

International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 109865 - 109865

Published: Nov. 1, 2024

Language: Английский

Citations

1