Article
Computer Science, Interdisciplinary Applications
Shaolei Gai, Zhengbiao Peng, Behdad Moghtaderi, Jianglong Yu, Elham Doroodchi
Summary: This study extended the conventional lattice Boltzmann method to investigate ice nucleation induced by the collapse of a cavitation bubble. It found that different system parameters can affect the maximum collapse pressure and ice nucleation in different application scenarios.
COMPUTERS & FLUIDS
(2022)
Article
Engineering, Marine
Yang Liu, Yong Peng
Summary: Through verification and application, this improved LBM model can accurately predict the collapse of cavitation bubbles, including heat transfer, and for the first time, includes the interaction between density and temperature fields in the LBM model.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Energy & Fuels
Minglei Shan, Yu Yang, Xuefen Kan, Fangyong Shu, Qingbang Han
Summary: The temperature distribution and evolution in a cavitation bubble are investigated numerically using a thermal lattice Boltzmann method. The results show that the temperature of the collapsing bubble can reach extremely high values and is highly related to the jet velocity and the liquid pressure. The effects of offset parameters, initial driving pressure, and initial bubble radius on the bubble temperature are also studied.
FRONTIERS IN ENERGY RESEARCH
(2022)
Article
Thermodynamics
Yu Yang, Minglei Shan, Nana Su, Xuefen Kan, Yanqin Shangguan, Qingbang Han
Summary: The thermal lattice Boltzmann method is used to simulate cavitation bubble collapse in heating or cooling systems. The results are consistent with Laplace's law and temperature solutions derived from the Rayleigh-Plesset equation. The effects of wall temperature on a collapsing bubble are studied, and the influence mechanism of the micro-jet and the cavitation bubble itself on solid-wall heat transfer, as well as the thermodynamic behavior characteristics of the cavitation bubble collapse near the wall, are obtained. The study also introduces a dimensionless temperature parameter to analyze the heat transfer intensity of the model.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2022)
Article
Thermodynamics
Xiaolong He, Haonan Peng, Jianmin Zhang, Yang Liu
Summary: Investigated the hydrodynamics and thermodynamics of attached wall vapor cavitation bubble collapse under different wall wettability using an improved double distribution function thermal pseudo-potential model. Found that wettability significantly affects bubble morphology and captured the peaks on the temperature distribution curves caused by phase transition and high-pressure regions.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2023)
Article
Computer Science, Interdisciplinary Applications
Xiaolong He, Haonan Peng, Jianmin Zhang, Hao Yuan
Summary: This paper presents a double-distribution-function thermal lattice Boltzmann method for studying the thermodynamics of multiple-bubble interactions, and proposes a new two-dimensional method for cavitation bubble inception without gas nuclei initialization. The approach is validated by simulating the evolution of a laser-produced bubble, accurately reproducing weak and strong interactions among bubbles of equal size, as well as interactions among bubbles of different sizes.
COMPUTERS & FLUIDS
(2023)
Article
Engineering, Marine
Alexander A. Aganin, Nailia A. Khismatullina
Summary: This study investigates the dependence of cavitation bubble collapse on the characteristics of mass transfer across the bubble surface, including phase interface temperature jump, ratio of interface displacement speed to vapor molecules' thermal motion speed, and difference in evaporation and condensation coefficients. The influence of these characteristics is insignificant at small values of the evaporation and condensation coefficients, but grows with their increasing. Failure to consider these characteristics can lead to underestimation of the vapor mass in the bubble and the maximum pressure during its collapse.
Article
Engineering, Marine
Xiaolong He, Haonan Peng, Jianmin Zhang, Hao Yuan
Summary: The thermal lattice Boltzmann method with double distribution function is used to investigate the thermodynamics of bubble interactions. The complete growth and collapse processes during the interactions are successfully replicated, and various interaction regimes of double cavitation bubbles are systematically studied. Additionally, proposed critical distances distinguish different interaction modes between equal-sized bubbles, and a modified inertia model predicts the liquid film thickness evolution under strong interaction regimes for unequal-sized bubbles.
Article
Thermodynamics
Xiang Song, Jianmin Zhang, Haonan Peng, Shiliang Zhou
Summary: A modified double distribution function thermal lattice Boltzmann method is used to study the effect of surface tension on the interaction between equal-sized and unequal-sized bubbles. The study considers the entire evolution process of laser or spark-produced bubbles, while taking into account the temperature and flow fields. A modified Rayleigh-Plesset equation is employed to predict the evolution of bubble radius, and the effects of surface tension on bubble coalescence are analyzed.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2023)
Article
Physics, Multidisciplinary
Minglei Shan, Yu Yang, Xuemeng Zhao, Qingbang Han, Cheng Yao
Summary: The interaction between cavitation bubble and solid surface was studied using a modified MRT-LB model in a hydrophobic concave. The study found that the hydrophobic concave can enhance cavitation effect by decreasing cavitation threshold, accelerating collapse, and increasing jet velocity.
Article
Acoustics
Hao Wu, Hao Zheng, Yuanyuan Li, Claus-Dieter Ohl, Haixia Yu, Dachao Li
Summary: This study investigates the effect of liquid surface tension on the dynamics of acoustic cavitation bubbles, revealing that low surface tension reduces bubble stability, leading to earlier collapse and farther distance from a rigid wall. Additionally, surface tension influences micro-jet speeds, highlighting the role of surfactants in optimizing acoustic cavitation.
ULTRASONICS SONOCHEMISTRY
(2021)
Article
Acoustics
Yaorong Wu, Weizhong Chen, Lingling Zhang, Yang Shen, Guoying Zhao, Shaoyang Kou
Summary: This paper investigates the simplest system of three bubbles in a line that can exhibit left-right symmetrical and asymmetrical surroundings. A dynamical model is constructed to analyze the aspherical oscillations of the central and side bubbles.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2022)
Article
Green & Sustainable Science & Technology
Wei Xu, Rongsheng Zhu, Jian Wang, Qiang Fu, Xiuli Wang, Yuanyuan Zhao, Guohui Zhao
Summary: This study investigates the relationship between the distance from cavitation bubble to pollutant wall and collapse characteristics. The results show that the closer the bubble is to the wall, the higher the change rate of bubble volume and pressure. The simulation results are consistent with theoretical derivation.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Thermodynamics
Yinglei Guo, Yuhua Lai, Shuai Wang, Lin Wang
Summary: The relationship between bubble dynamics and boiling heat transfer on a vertical heating wall is investigated using the lattice Boltzmann method. The results show that the vapor phase covering the vertical surface increases with increasing contact angle, leading to difficulty in bubble detachment and reduction of bubble volume. The physical properties of the three-phase contact line and bubble dynamics exhibit strong coupling characteristics due to the interaction of buoyancy force and bubble growth under the vertical heating wall. In addition, the heat flux on hydrophilic and hydrophobic surfaces is enhanced by 98% and reduced by 75% compared to that on the neutral surface.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2023)
Article
Acoustics
Yaorong Wu, Weizhong Chen, Lingling Zhang, Yang Shen, Guoying Zhao
Summary: This work investigates the interactions between the axial translational motions and aspherical oscillations of two gas bubbles in an incompressible liquid. A dynamic model is derived using the Legendre polynomial of first order to describe the motions of the aspherical bubbles in Lagrangian mechanics. Simulation results show that an apple-shaped bubble based on the model matches experimental observations. The bubble appears as a sphere at maximum expansion and exhibits maximum asymmetry during collapse. Surface tension plays a crucial role in maintaining stable oscillatory deformation. Additionally, it is found that the aspherical amplitudes of the bubbles decrease with increasing distance or decreasing driving pressure.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2022)
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)