Direct numerical simulation of evaporating droplets based on a sharp-interface algebraic VOF approach

Shang, Xiaopeng; Zhang, Xuan; Nguyen, Thien-Binh; Tran, Tuan

doi:10.1016/j.ijheatmasstransfer.2021.122282

Cited by 16 publications

(5 citation statements)

References 44 publications

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“…The results of prediction of the values of y/d made it possible to show the predictive capacity of our OPTI-ENS model compared to models well known in the state of the art [88][89][90][91][92][93][94][95]. Basic models such as Linear Regression showed very low prediction as well as very high RMSE.…”

Section: Discussionmentioning

confidence: 92%

Optimization of the Creation of a Training Set for the Calibration of a Model Reproducing the Vibration Behavior of an Overhead Line Conductor

Amroun,

Hafid,

Ammi

2022

IJICS

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One of the applications that machine learning can offer to the world of Engineering and Fluid Mechanics in particular is the calibration of models making it possible to approximate the representation of a particular phenomenon. Indeed, the computational cost generated by some fluid mechanics models pushes scientists to use other models close to the original models but less computationally intensive in order to facilitate their handling. Among the different approaches used: machine learning coupled with some optimization methods and algorithms in order to reduce the computation cost induced. This paper proposes a new framework called OPTI-ENS: a new flexible, optimized and improved method, to calibrate a physical model, called the wake oscillator (WO), which simulates the vibratory behaviors of overhead line conductors. An approximation of a heavy and complex model called the strip theory (ST) model. OPTI-ENS is composed of an ensemble machine learning algorithm (ENS) and an optimization algorithm of the WO model so that the WO model can generate the adequate training data as input to the ENS model. ENS model will therefore take as input the data from the WO model and output the data from the ST model. As a benchmark, a series of Machine learning models have been implemented and tested. The OPTI-ENS algorithm was retained with a best Coefficient of determination (R2 Score) of almost 0.7 and a Root mean square error (RMSE) of 7.57e-09. In addition, this model is approximately 170 times faster (in terms of calculation time) than an ENS model without optimization of the generation of training data by the WO model. This type of approach therefore makes it possible to calibrate the WO model so that simulations of the behavior of overhead line conductors are carried out only with the WO model.

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Section: Discussionmentioning

confidence: 92%

Optimization of the Creation of a Training Set for the Calibration of a Model Reproducing the Vibration Behavior of an Overhead Line Conductor

Amroun,

Hafid,

Ammi

2022

IJICS

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“…The classical one-dimensional Stefan problem is applied to validate the phase change models. The problem setup has been extensively used for the validation of mass transfer models [20,35,36]. The schematic of the problem and the comparison with the analytical solution are shown in Figure 1.…”

Section: Stefan Problemmentioning

confidence: 99%

Simulation of Single Vapor Bubble Condensation with Sharp Interface Mass Transfer Model

Samkhaniani

Stroh

2022

Thermo

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Pure numerical simulation of phase-change phenomena such as boiling and condensation is challenging, as there is no universal model to calculate the transferred mass in all configurations. Among the existing models, the sharp interface model (Fourier model) seems to be a promising solution. In this study, we investigate the limitation of this model via a comparison of the numerical results with the analytical solution and experimental data. Our study confirms the great importance of the initial thermal boundary layer prescription for a simulation of single bubble condensation. Additionally, we derive a semi-analytical correlation based on energy conservation to estimate the condensing bubble lifetime. This correlation declares that the initial diameter, subcooled temperature, and vapor thermophysical properties determine how long a bubble lasts. The simulations are carried out within the OpenFOAM framework using the VoF method to capture the interface between phases. Our investigation demonstrates that calculation of the curvature of interface with the Contour-Based Reconstruction (CBR) method can suppress the parasitic current up to one order.

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“…Lin et al [36] considered different geometries-convergent, divergent, and normal microtubes-for their effect on water FB in terms of pressure drop. VOF and a sharp interface capturing scheme were employed for the direct numerical simulation of the evaporation and condensation [37,38]. The capability of VOF in phase interface prediction was carefully studied by Etminan et al [39] in microchannels with a diameter of 250 microns.…”

Section: Introductionmentioning

confidence: 99%

Water Flow Boiling in Micro/Mini Channels Using Volume of Fluid Model

Khan Mughal,

Waheed,

Sadiq

et al. 2024

Applied Sciences

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Recent advancements in computational fluid dynamics (CFD) have triggered research in the field of heat exchangers. Driven by the need to decrease the size of heat exchangers, many researchers have exploited the higher heat transfer achieved by replacing single-phase flow systems with boiling counterparts. The concept of using mini-channels to provide compact heat exchangers while maintaining heat transfer performance is relatively new. A minimal number of researchers have reported simulations of water-steam systems in mini-channels. This paper presents a numerical study of the heat transfer performance (HTP) of mini channels in a water-steam system using the volume of fluid (VOF) model coupled with the Lee phase change model on commercial CFD software ANSYS. The numerical model consisted of a 1 mm × 1.5 mm × 52 mm channel with boundary conditions: top adiabatic; constant heat flux at the bottom surface; left/right periodic; mass flow inlet and pressure outlet. A mesh independence study was carried out for the proposed model, and simulations were validated against the experimental results of heat transfer versus vapor quality for a wide range of mass and heat fluxes. The VOF model best predicts experimental HTC at high mass fluxes, although the results at low mass fluxes were predicted with reasonable accuracy. Based on the agreement of numerical and numerical results, the VOF model turned out to be a promising candidate for designing compact micro/mini channel heat exchangers.

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Direct numerical simulation of evaporating droplets based on a sharp-interface algebraic VOF approach

Cited by 16 publications

References 44 publications

Optimization of the Creation of a Training Set for the Calibration of a Model Reproducing the Vibration Behavior of an Overhead Line Conductor

Optimization of the Creation of a Training Set for the Calibration of a Model Reproducing the Vibration Behavior of an Overhead Line Conductor

Simulation of Single Vapor Bubble Condensation with Sharp Interface Mass Transfer Model

Water Flow Boiling in Micro/Mini Channels Using Volume of Fluid Model

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