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Dive into the research topics where Haihu Liu is active.

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Featured researches published by Haihu Liu.


Journal of Applied Physics | 2009

Droplet formation in a T-shaped microfluidic junction

Haihu Liu; Yonghao Zhang

Using a phase-field model to describe fluid/fluid interfacial dynamics and a lattice Boltzmann model to address hydrodynamics, two dimensional (2D) numerical simulations have been performed to understand the mechanisms of droplet formation in microfluidic T-junction. Although 2D simulations may not capture underlying physics quantitatively, our findings will help to clarify controversial experimental observations and identify new physical mechanisms. We have systematically examined the influence of capillary number, flow rate ratio, viscosity ratio, and contact angle in the droplet generation process. We clearly observe that the transition from the squeezing regime to the dripping regime occurs at a critical capillary number of 0.018, which is independent of flow rate ratio, viscosity ratio, and contact angle. In the squeezing regime, the squeezing pressure plays a dominant role in the droplet breakup process, which arises when the emerging interface obstructs the main channel. The droplet size depends on...


Computational Geosciences | 2016

Multiphase lattice Boltzmann simulations for porous media applications

Haihu Liu; Qinjun Kang; Christopher R. Leonardi; Sebastian Schmieschek; Ariel Narváez; Bruce D. Jones; John R. Williams; Albert J. Valocchi; Jens Harting

Over the last two decades, lattice Boltzmann methods have become an increasingly popular tool to compute the flow in complex geometries such as porous media. In addition to single phase simulations allowing, for example, a precise quantification of the permeability of a porous sample, a number of extensions to the lattice Boltzmann method are available which allow to study multiphase and multicomponent flows on a pore scale level. In this article, we give an extensive overview on a number of these diffuse interface models and discuss their advantages and disadvantages. Furthermore, we shortly report on multiphase flows containing solid particles, as well as implementation details and optimization issues.


Physics of Fluids | 2011

Droplet formation in microfluidic cross-junctions

Haihu Liu; Yonghao Zhang

Using a lattice Boltzmann multiphase model, three-dimensional numerical simulations have been performed to understand droplet formation in microfluidic cross-junctions at low capillary numbers. Flow regimes, consequence of interaction between two immiscible fluids, are found to be dependent on the capillary number and flow rates of the continuous and dispersed phases. A regime map is created to describe the transition from droplets formation at a cross-junction (DCJ), downstream of cross-junction to stable parallel flows. The influence of flow rate ratio, capillary number, and channel geometry is then systematically studied in the squeezing-pressure-dominated DCJ regime. The plug length is found to exhibit a linear dependence on the flow rate ratio and obey power-law behavior on the capillary number. The channel geometry plays an important role in droplet breakup process. A scaling model is proposed to predict the plug length in the DCJ regime with the fitting constants depending on the geometrical parameters.


Transport in Porous Media | 2013

Pore-Scale Simulations of Gas Displacing Liquid in a Homogeneous Pore Network Using the Lattice Boltzmann Method

Haihu Liu; Albert J. Valocchi; Qinjun Kang; Charles J. Werth

A lattice Boltzmann high-density-ratio model, which uses diffuse interface theory to describe the interfacial dynamics and was proposed originally by Lee and Liu (J Comput Phys 229:8045–8063, 2010), is extended to simulate immiscible multiphase flows in porous media. A wetting boundary treatment is proposed for concave and convex corners. The capability and accuracy of this model is first validated by simulations of equilibrium contact angle, injection of a non-wetting gas into two parallel capillary tubes, and dynamic capillary intrusion. The model is then used to simulate gas displacement of liquid in a homogenous two-dimensional pore network consisting of uniformly spaced square obstructions. The influence of capillary number (Ca), viscosity ratio (


Journal of Computational Physics | 2010

Phase-field modeling droplet dynamics with soluble surfactants

Haihu Liu; Yonghao Zhang


Journal of Computational Physics | 2012

Modeling and simulation of thermocapillary flows using lattice Boltzmann method

Haihu Liu; Yonghao Zhang; Albert J. Valocchi

M


Journal of Computational Physics | 2014

Lattice Boltzmann phase-field modeling of thermocapillary flows in a confined microchannel

Haihu Liu; Albert J. Valocchi; Yonghao Zhang; Qinjun Kang


Physics of Fluids | 2015

Lattice Boltzmann simulation of immiscible fluid displacement in porous media: Homogeneous versus heterogeneous pore network

Haihu Liu; Yonghao Zhang; Albert J. Valocchi

M), surface wettability, and Bond number (Bo) is studied systematically. In the drainage displacement, we have identified three different regimes, namely stable displacement, capillary fingering, and viscous fingering, all of which are strongly dependent upon the capillary number, viscosity ratio, and Bond number. Gas saturation generally increases with an increase in capillary number at breakthrough, whereas a slight decrease occurs when Ca is increased from


Computational Geosciences | 2016

Pore-scale and continuum simulations of solute transport micromodel benchmark experiments

Martinus Oostrom; Yashar Mehmani; P. Romero-Gomez; Youneng Tang; Haihu Liu; Hongkyu Yoon; Qinjun Kang; V. Joekar-Niasar; Matthew T. Balhoff; Thomas A. Dewers; G. D. Tartakovsky; E. A. Leist; N. J. Hess; William A. Perkins; C. L. Rakowski; Marshall C. Richmond; J. A. Serkowski; Charles J. Werth; Albert J. Valocchi; Thomas W. Wietsma; C. Zhang


Physical Review E | 2016

Multiple-relaxation-time color-gradient lattice Boltzmann model for simulating two-phase flows with high density ratio

Yan Ba; Haihu Liu; Qing Li; Qinjun Kang; Jinju Sun

8.66\times 10^{-4}

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Yonghao Zhang

University of Strathclyde

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Qinjun Kang

Los Alamos National Laboratory

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Lei Wu

University of Strathclyde

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Yan Ba

Xi'an Jiaotong University

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Jinju Sun

Xi'an Jiaotong University

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Ningning Wang

Xi'an Jiaotong University

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Charles J. Werth

University of Texas at Austin

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Dong Liang

Sun Yat-sen University

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Guang Xi

Xi'an Jiaotong University

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