A new hydrodynamic approach for jet impingement boiling CHF

Grassi, Walter; Testi, Daniele

doi:10.1016/j.icheatmasstransfer.2019.02.014

Cited by 10 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It attracts a wide range of fundamental research interest due to its complex flow structures and rich bifuractions [1][2][3][4][5]. This type of flow motion also plays the center role in several engineering applications, such as electrosprays, ink-jets, boiling heat transfer, and EHD pumping [6][7][8][9][10]. Besides, several research on the so-called EHD mixers, which use electric field to mix two incompatible liquids between plate electrodes, has been reported [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Numerical analysis of electrohydrodynamic instability in dielectric-liquid–gas flows subjected to unipolar injection

et al. 2021

View full text Add to dashboard Cite

In this work, the electrohydrodynamic instability induced by a unipolar charge injection is extended from a single-phase dielectric liquid to a two-phase system that consists of a liquid-air interface. A volume-of-fluid model-based two-phase solver was developed with simplified Maxwell equations implemented in the opensource platform OpenFOAM. The numerically obtained critical value for the linear stability matches well with the theoretical values. To highlight the effect of the slip boundary at interface, the deformation of the interface is ignored. A bifurcation diagram with hysteresis loop linking the linear and finite-amplitude criteria, which is U f = 0.059, was obtained in this situation. It is concluded that the lack of viscous effect at interface leads to a significant increase in the flow intensity, which is the reason for the smaller instability threshold in two-phase system. The presence of interface also changes the flow structure and results in a shear distribution of electric force, which may play an important role in the interface deformation.

show abstract

Section: Introductionmentioning

confidence: 99%

Numerical analysis of electrohydrodynamic instability in dielectric-liquid–gas flows subjected to unipolar injection

et al. 2021

View full text Add to dashboard Cite

show abstract

“…For instance, the efficacy of boiling heat transfer can be quantified by either the improvements in the critical heat flux (CHF) or heat transfer coefficient (HTC) 5 , both of which are functions of the boiling heat curves. With the goal of increasing the CHF limit and HTC, extensive prior works have investigated the effects of flow condition 6,7 , surface treatment and design 5,[8][9][10][11][12][13] , and bubble morphology on boiling curves 14 . These past findings suggest that inherent structural characteristics as well as intrinsic material properties significantly affect boiling performance, and therefore the boiling curve.…”

mentioning

confidence: 99%

Deep learning predicts boiling heat transfer

Suh

Bostanabad

Won

2021

Sci Rep

View full text Add to dashboard Cite

Boiling is arguably Nature’s most effective thermal management mechanism that cools submersed matter through bubble-induced advective transport. Central to the boiling process is the development of bubbles. Connecting boiling physics with bubble dynamics is an important, yet daunting challenge because of the intrinsically complex and high dimensional of bubble dynamics. Here, we introduce a data-driven learning framework that correlates high-quality imaging on dynamic bubbles with associated boiling curves. The framework leverages cutting-edge deep learning models including convolutional neural networks and object detection algorithms to automatically extract both hierarchical and physics-based features. By training on these features, our model learns physical boiling laws that statistically describe the manner in which bubbles nucleate, coalesce, and depart under boiling conditions, enabling in situ boiling curve prediction with a mean error of 6%. Our framework offers an automated, learning-based, alternative to conventional boiling heat transfer metrology.

show abstract

Lattice Boltzmann analysis of conjugate heat transfer in the presence of electrohydrodynamic flow

Gao

Luo

et al. 2022

International Communications in Heat and Mass Transfer

View full text Add to dashboard Cite

A new hydrodynamic approach for jet impingement boiling CHF

Cited by 10 publications

References 21 publications

Numerical analysis of electrohydrodynamic instability in dielectric-liquid–gas flows subjected to unipolar injection

Numerical analysis of electrohydrodynamic instability in dielectric-liquid–gas flows subjected to unipolar injection

Deep learning predicts boiling heat transfer

Lattice Boltzmann analysis of conjugate heat transfer in the presence of electrohydrodynamic flow

Contact Info

Product

Resources

About