Article
Chemistry, Multidisciplinary
Bifeng Yin, Sheng Xu, Shuangyu Yang, Fei Dong
Summary: The study found that the microhole surface can achieve a superhydrophobic state, with the contact angle rapidly decreasing when the diameter is too large. As the microhole diameter increases, the relative radii of the x- and y-directions show an increasing trend, while an increasing spacing leads to a decreasing trend in the relative radii of x- and y-directions.
Article
Computer Science, Software Engineering
Wei Li, Yihui Ma, Xiaopei Liu, Mathieu Desbrun
Summary: This paper proposes a new solver for coupling the incompressible Navier-Stokes equations with a conservative phase-field equation to simulate multiphase flows. The resulting solver shows efficiency, versatility, and reliability in dealing with large density ratios, high Reynolds numbers, and complex solid boundaries.
ACM TRANSACTIONS ON GRAPHICS
(2022)
Article
Engineering, Multidisciplinary
Chen Zhou, Wen-yuan Wang, Ke-xin Chen, Ze-jian Chen, Jongwon Jung, Shuai Zhang, Yun-min Chen, Bate Bate
Summary: The role of wettability, characterized by contact angle, in two-phase immiscible phases displacement is investigated using the color gradient lattice Boltzmann method. The study finds that the saturation is related to the contact angle under different viscosity ratios and capillary numbers.
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A
(2022)
Article
Thermodynamics
Zhengxuan Xu, Jian Li, Zhaohui Yao, Ji Li
Summary: The study analyzed the evaporation behavior of liquid droplets on superheated surfaces using numerical simulation, examining the effects of wettability and Ja number under different conditions. The evaporation pressure at the bottom of droplets exhibited periodic oscillation, with detailed analysis on the influence of surface properties and Ja number.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2021)
Article
Mechanics
Yao Xiao, Zhong Zeng, Liangqi Zhang, Jingzhu Wang, Yiwei Wang, Hao Liu, Chenguang Huang
Summary: In this paper, a phase-field-based spectral element method is proposed for solving the Navier-Stokes/Cahn-Hilliard equations in incompressible two-phase flows. Three constant coefficient matrixes are constructed for velocity, pressure, and phase variable solutions using the Newton-Raphson method and time-stepping scheme. The use of modified bulk free energy density ensures the boundedness of the Cahn-Hilliard equation solution. The proposed approach demonstrates high accuracy and enhanced computation efficiency for capturing interfacial dynamics.
Article
Mechanics
Mohammad Majidi, Mohamad Ali Bijarchi, Amirabbas Ghorbanpour Arani, Mohammad Hassan Rahimian, Mohammad Behshad Shafii
Summary: This paper numerically studied the deformation and breakup dynamics of a compound ferrofluid droplet under shear flow and uniform magnetic field. By increasing the capillary number, the outer interface deformation is increased while increasing the magnetic Bond number leads to elongation of both inner and outer interfaces in the direction of the imposed magnetic field. The regime maps of compound droplet morphology and breakup in terms of capillary and magnetic Bond numbers were presented, showing different shapes in the non-breakup region.
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW
(2022)
Article
Thermodynamics
Eslam Ezzatneshan, Ashkan Salehi, Hamed Vaseghnia
Summary: In this study, the boiling phenomenon and bubble dynamics were investigated using a lattice Boltzmann method. The effect of different equations of state and surface properties on bubble nucleation, growth, and departure were evaluated. The results revealed that sharp-angled edges are the region where boiling occurs. It was also found that surface wettability and shape have a significant impact on bubble separation time and velocity.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2023)
Article
Thermodynamics
Akanksha Tiwari, Runa Samanta, Himadri Chattopadhyay
Summary: This paper reviews the research on droplet solidification over the past 20 years, with a focus on modelling strategies. The paper enumerates modelling approaches at macro, micro and meso-scales and presents the progress in understanding the physics of droplet solidification through literature results. Additionally, applications of droplet solidification in various fields are introduced.
APPLIED THERMAL ENGINEERING
(2023)
Article
Mathematics, Applied
Xiaolei Yuan, Yao Wu, Chunhua Zhang, Zhenhua Chai, Baochang Shi
Summary: In this work, we propose a unified framework of phase-field-based multiple-relaxation-time lattice Boltzmann (MRT-LB) method for incompressible multiphase flows with density and viscosity contrasts. The framework includes the classic MRT-LB model and central-moments-based LB model (CLBM). The governing equations of incompressible multiphase flows can be accurately reproduced through direct Taylor expansion method at the second-order of expansion parameters. The present model shows better numerical stability and accuracy compared to the traditional Bhatnagar-Gross-Krook (BGK) model, and is capable of simulating multiphase flow problems with large density ratio (1000).
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2023)
Article
Energy & Fuels
Senyou An, Yuting Zhan, Hassan Mahani, Vahid Niasar
Summary: In this study, an advanced model is proposed to investigate the dynamics of droplet detachment from a surface, taking into account the impact of buoyancy and interfacial forces. The results demonstrate that the detachment time of droplets is not only determined by the Bond number, but also influenced by the diffusion length scale.
Article
Mathematics, Applied
Xiang An, Bo Dong, Weizhong Li, Xun Zhou, Tao Sun
Summary: In this paper, a new lattice Boltzmann model is proposed to investigate binary droplet collisions. Through simulating collision features at different collision angles, it is found that the percentage of satellite droplet is highest at 60 degrees, while lower at 90 degrees, 120 degrees, and 150 degrees.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2021)
Article
Engineering, Chemical
Shiteng Wang, Hao Wang, Yi Cheng
Summary: Miscible reagents inside moving droplets exhibit a different mixing mechanism due to dynamic interfacial tension. However, it is difficult to measure this tension experimentally. In this study, a ternary color-gradient lattice Boltzmann model was used to investigate the effect of dynamic interfacial tension on mixing inside moving droplets. The model allows for the independent setting of diffusion coefficient and interfacial tension with high accuracy. Simulation results show that dynamic interfacial tension influences mixing by redistributing components based on their relative positions and inner swirls. Furthermore, the presence of dynamic interfacial tension significantly improves mixing performance in droplets compared to various channels, but this positive effect is reduced by wall constraints.
CHEMICAL ENGINEERING SCIENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
Maciej Matyka, Michal Dzikowski
Summary: The study simplified the Lattice Boltzmann Method algorithm by assuming constant numerical viscosity and conducted simulations to test it. The results showed that the new method is simpler and less error-prone in implementation, requiring less working memory in low Reynolds number flows but less efficient in multiphase flows. Therefore, further extension and the moments-only formulation were proposed to address this issue.
COMPUTER PHYSICS COMMUNICATIONS
(2021)
Article
Thermodynamics
Xiangwei Yin, Gangtao Liang, Jiajun Wang, Shengqiang Shen
Summary: This study numerically simulates the condensation process and heat transfer on micropillar structured surfaces with different wettabilities. The results reveal that the corner between micropillar sides and subcooled substrate, as well as the center of substrate, are favorable droplet nucleation sites. Moreover, it is found that as the contact angle increases, nucleation of condensate is delayed, the departure diameter is reduced, and departure frequency is increased. The study also presents an optimal heat transfer surface configuration based on the research findings.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2022)
Article
Physics, Multidisciplinary
He Wang, Fang-Bao Tian, Xiang-Dong Liu
Summary: In this paper, a phase-field-based lattice Boltzmann model is proposed for capturing interfaces in multi-phase flows, and its accuracy and reliability are demonstrated through numerical simulations.
Article
Computer Science, Interdisciplinary Applications
Jin Bao, Zhaoli Guo
Summary: At the equilibrium state of a two-phase fluid system, the chemical potential is constant and the velocity is zero. However, it is challenging to capture this equilibrium state accurately in numerical simulations, resulting in inconsistent thermodynamic interfacial properties and spurious velocities. Therefore, numerical schemes with well-balanced properties are preferred for simulating two-phase flows.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Brian C. Vermeire
Summary: This study presents a framework for implicit large eddy simulation (ILES) of incompressible flows by combining the entropically damped artificial compressibility (EDAC) method with the flux reconstruction (FR) approach. Experimental results demonstrate that the method is accurate and stable for low-order solutions, while higher-order solutions exhibit significantly higher accuracy and lower divergence error compared to reference direct numerical simulation.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Mijian Li, Rui Wang, Xinyu Guo, Xinyu Liu, Lianzhou Wang
Summary: In this study, the flow mechanisms around wall-mounted structures were investigated using Large Eddy Simulation (LES). The impact of inflow turbulence on the flow physics, dynamic response, and hydrodynamic performance was explored. The results revealed strong interference between velocity fluctuations and the wake past the cylinder, as well as significant convection effects in the far wake region.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Donatella Passiatore, Luca Sciacovelli, Paola Cinnella, Giuseppe Pascazio
Summary: A high-order shock-capturing central finite-difference scheme is evaluated for numerical simulations of hyper-sonic high-enthalpy flows out of thermochemical equilibrium. The scheme utilizes a tenth-order accurate central-difference approximation of inviscid fluxes, along with high-order artificial dissipation and shock-capturing terms. The proposed approach demonstrates accuracy and robustness for a variety of thermochemical non-equilibrium configurations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Philipp Bahavar, Claus Wagner
Summary: Condensation is an important aspect in flow applications, and simulating the gas phase and tracking the deposition rates of condensate droplets can capture the effects of surface droplets on the flow while reducing computational costs.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Andras Szabo, Gyorgy Paal
Summary: This paper introduces an efficient calculation method, the parabolized stability equations (PSE), for solving stability equations. By calculating LU factorization once in each marching step, the time spent on solving linear systems of equations can be significantly reduced. Numerical experiments demonstrate the effectiveness of this method in reducing the solution time for linear equations, and its applicability to similar problems.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
A. Khalifa, M. Breuer
Summary: This study evaluates a recently developed data-driven model for collision-induced agglomerate breakup in high mass loading flows. The model uses artificial neural networks to predict the post-collision behavior of agglomerates, reducing computational costs compared to coupled CFD-DEM simulations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Chunmei Du, Maojun Li
Summary: This paper considers the bilayer shallow water wave equations in one-dimensional space and presents an invariant domain preserving DG method to avoid Kelvin-Helmholtz instability.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Jean-Michel Tucny, Mihir Durve, Andrea Montessori, Sauro Succi
Summary: The prediction of non-equilibrium transport phenomena in disordered media is a challenging problem for conventional numerical methods. Physics-informed neural networks (PINNs) show potential for solving this inverse problem. In this study, PINNs were used to successfully predict the velocity field of rarefied gas flow, and AdamW was found to be the best optimizer.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Min Gao, Pascal Mossier, Claus-Dieter Munz
Summary: In recent decades, the arbitrary Lagrangian-Eulerian (ALE) approach has gained popularity in dealing with fluid flows with moving boundaries. This paper presents a novel algorithm that combines the ALE finite volume (FV) and ALE discontinuous Galerkin (DG) methods into a stable and efficient hybrid approach. The main challenge of this mixed ALE FV and ALE DG method is reducing the inconsistency between the two discretizations. The proposed algorithm is implemented into a loosely-coupled fluid-structure interaction (FSI) framework and is demonstrated through various benchmark test cases and complex scenarios.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Dawid Strzelczyk, Maciej Matyka
Summary: In this study, the numerical convergence of the Meshless Lattice Boltzmann Method (MLBM) is investigated through three benchmark tests. The results are compared to the standard Lattice Boltzmann Method (LBM) and the analytical solution of the Navier-Stokes equation. It is found that MLBM outperforms LBM in terms of error value for the same number of nodes discretizing the domain.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Kanishka Bhattacharya, Tapan Jana, Amit Shaw, L. S. Ramachandra, Vishal Mehra
Summary: In this work, an adaptive algorithm is developed to address the issue of tensile instability in Smoothed Particle Hydrodynamics (SPH) by adjusting the shape of the kernel function to satisfy stability conditions. The effectiveness of the algorithm is demonstrated through dispersion analysis and fluid dynamics simulations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Luis Laguarda, Stefan Hickel
Summary: We propose several enhancements to improve the accuracy and performance of the digital filter turbulent inflow generation technique, such as introducing a more realistic correlation function and varying target length scales. Additionally, we suggest generating inflow data in parallel at a prescribed time interval to improve computational performance. Based on the results of large-eddy simulations, these enhancements have shown to be beneficial. Suppressing streamwise velocity fluctuations at the inflow leads to the fastest relaxation of pressure fluctuations. However, this approach increases the adaptation length, which can be shortened by artificially increasing the wall-normal Reynolds stresses.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Constantin Zenz, Michele Buttazzoni, Tobias Florian, Katherine Elizabeth Crespo Armijos, Rodrigo Gomez Vazquez, Gerhard Liedl, Andreas Otto
Summary: A new model for compressible multiphase flows involving sharp interfaces and phase change is presented, with a focus on the treatment of compressibility and phase change in the multiphase fluid flow model. The model's accuracy and suitability are demonstrated through comparisons with experimental observations.
COMPUTERS & FLUIDS
(2024)
Article
Computer Science, Interdisciplinary Applications
Joseph O'Connor, Sylvain Laizet, Andrew Wynn, Wouter Edeling, Peter V. Coveney
Summary: This article aims to apply uncertainty quantification and sensitivity analysis to the direct numerical simulation (DNS) of low Reynolds number wall-bounded turbulent channel flow. By using a highly scalable DNS framework and UQ techniques, the study evaluates the influence of different numerical parameters on the simulation results without explicitly modifying the code. The findings provide guidance for numerical simulations of wall-bounded turbulent flows.
COMPUTERS & FLUIDS
(2024)
