Experimental investigation on the movement of triple-phase contact line during a droplet impacting on horizontal and inclined surface

Chen, Mingjing; Wu, Dan; Chen, Deqi; Deng, Jian; Liu, Hanzhou; Jiang, Junze

doi:10.1016/j.ces.2020.115864

Cited by 16 publications

(6 citation statements)

References 30 publications

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“…To develop a model for β max more than hydrofluoroethers, a large database with 1015 data points was established covering the ranges of 0 < We < 1340, 0 < Re < 15000, 0.011 N/m < σ < 0.075 N/m, and 0.32 mPa·s < μ < 670 mPa·s. The data was collected from 24 previous references, ,,,,,,,,,− as well as the present experiments. The experimental conditions of the data are provided in Table S1 in the Supporting Information.…”

Section: Resultsmentioning

confidence: 99%

Maximum Spreading of Hydrofluoroether Drop Impacting on a Smooth Surface

Wu,

Luo,

Pei

et al. 2023

Ind. Eng. Chem. Res.

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Hydrofluoroether is a dielectric, stable, and environmentally friendly fluid that has been identified as the most potential refrigerant for two-phase cooling and spray cooling. In this study, the impact of a hydrofluoroether droplet on a smooth surface is investigated to deepen the understanding of the droplet–wall interaction during spray cooling. Experimental results show that the impact of the hydrofluoroether droplet on a smooth surface is different from that of water and ethanol droplets. After maximum spreading, the rim formed at the droplet periphery reverses to the center. For the hydrofluoroether with a high boiling point, the inner edge of the rim contracts, but the outer edge is almost immobile. For the hydrofluoroether with a low boiling point, both the inner and outer edges of the rim contract to form a very thin lamella. The intense evaporation of the lamella region leads to the formation of some small droplets at a high impact velocity. Based on a large database collected from the present experiments and previous references, two models for the prediction of the maximum spreading ratio of various liquids in a broad range of impact velocities are developed by introducing the corrections determined by viscosity and surface tension. The present model is superior to the previous semiempirical models, predicting over 97.5% data points in the error bands of ±20% with an MAE of 5.7%.

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Section: Resultsmentioning

confidence: 99%

Maximum Spreading of Hydrofluoroether Drop Impacting on a Smooth Surface

Wu,

Luo,

Pei

et al. 2023

Ind. Eng. Chem. Res.

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show abstract

“…A consolidated database of 1015 data points was established covering wide ranges of Reynolds and Weber numbers, droplet viscosity, and surface tension. The data points were collected from 24 previous literatures ,− ,,,,,− with 835 data points, as well as our experiments of drop impact performed on a smooth surface, resulting in an additional 180 data points. Experimental conditions of the data are provided in Table S1 in the Supporting Information.…”

Section: Data Collectionmentioning

confidence: 99%

Universal Model for Predicting Maximum Spreading of Drop Impact on a Smooth Surface Developed Using Boosting Machine Learning Models

Tang,

Yu,

Hou

et al. 2023

Ind. Eng. Chem. Res.

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Drop impact on a solid surface is a fundamental phenomenon in nature and engineering. Prediction of the maximum spreading ratio during drop impact is critical for modeling and optimizing the relevant processes. However, accurately modeling the maximum spreading using empirical and numerical methods remains challenging. Machine learning (ML) has recently provided a promising way to understand and model complex fluid phenomena. Thus, in this study, a universal model is developed by using machine learning methods to predict the maximum spreading. TPE (Tree-Structured Parzen Estimator) algorithm, a variant of Bayesian optimization, is applied to optimize the hyperparameters to improve the predictive performance of ML models. An extensive database containing 1015 experimental data points has been constructed from 24 research sources and the present experimental results. Four boosting ML models were compared with conventional models, and the results show that the mean absolute percentage error (MAPE) of ML models is 2.62− 3.40%, which is less than a third that of the best conventional model. Among these ML models, the TPE-based CatBoost model is superior to others, with an MAPE of 1.67% and an R 2 of 0.952. Then, SHAP (SHapley Additive exPlanations) was used to address the black-box nature of the ML-based models. Parameter analysis indicates that the developed ML model robustly captures the physical variation trend of the maximum spreading for various working fluids. The results presented here demonstrate that the TPEbased CatBoost model can model the drop maximum spreading ratio with high accuracy and broad applicability.

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“…This is caused by that the fierce recoil of the droplet will enhance when θ eq is large (M. J. Chen et al, 2020) 7(a), L* firstly experiences a repaid increase to its peak value, and then reaches a decrement phase. When t* < 5, the profiles of L* are nearly the same.…”

Section: Effect Of Wettabilitymentioning

confidence: 99%

Simulation of droplet impact dynamics on V-shaped walls

Chen

2023

Preprint

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This paper presents the morphological evolution characteristics of a droplet impacting a V-shaped wall by using the lattice Boltzmann method (LBM). Four parameters are investigated comprehensively. The parameters vary over wide ranges: surface wettability (60o ≤ θeq ≤ 120o), Weber number (102.27 ≤ We ≤ 3681.82), bending angle of the V-shaped wall (90o ≤ θ ≤ 180o), and eccentricity ratio (0 ≤ b ≤ 0.5). Two types of collision are observed: deposition and breakage. For breakage, the number of satellite droplets increases against the increment of We. The splashing occurs for a high We. And the lamella ejection is observed on the hydrophilic wall and the neutral wall. The lamella ejection will be slight against the increase of θeq, while it will become obvious against the increment of θ. In addition, the nondimensional spreading length, width, and height are measured and analyzed. A regime map is established based on We and θ.

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Experimental investigation on the movement of triple-phase contact line during a droplet impacting on horizontal and inclined surface

Cited by 16 publications

References 30 publications

Maximum Spreading of Hydrofluoroether Drop Impacting on a Smooth Surface

Maximum Spreading of Hydrofluoroether Drop Impacting on a Smooth Surface

Universal Model for Predicting Maximum Spreading of Drop Impact on a Smooth Surface Developed Using Boosting Machine Learning Models

Simulation of droplet impact dynamics on V-shaped walls

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