scholarly journals Simulation of phase transition process in reconstructed porous medium based on lattice Boltzmann method

2019 ◽  
Vol 23 (1) ◽  
pp. 169-177
Author(s):  
Shouguang Yao ◽  
Luobin Duan ◽  
Kai Zhao ◽  
Jiangbang Zeng ◽  
Zheshu Ma ◽  
...  
Keyword(s):  
Phase Transition ◽  
Porous Medium ◽  
Porous Media ◽  
Liquid Phase ◽  
Gas Phase ◽  
Lattice Boltzmann ◽  
Transition Process ◽  
Theoretical Solution ◽  
Structure Generation ◽  
Phase Transition Process

At the pore scale level, 2-D porous medium structures of porous media with different porosities (isotropic) and the same porosities (anisotropic) were constructed using quartet structure generation set. A random porous cavity was selected and combined with the lattice Boltzmann model to describe the gas-liquid phase transition process. Bubble generation, growth, mutual fusion, and collision as well as rebound process in porous media framework were investigated by simulating the phase transition phenomenon in porous media. Calculation results show that in three different heat loads, the maximum relative errors between the qualities of gas phase and liquid phase and theoretical solution of gas phase were 0.09%, 0.19%, and 0.32%, respectively, whereas the values for liquid phase were 0.11%, 0.38%, and 1.49%, respectively. Simulation results coincide with the theoretical solution perfectly, verifying the accuracy and feasibility of the model for random porous structures.

A New Lattice Boltzmann Model for Phase Transition Process

2009 ◽  
Author(s):  
Longjian Li ◽  
Jianbang Zeng ◽  
Quan Liao ◽  
Wenzhi Cui
Keyword(s):  
Phase Transition ◽  
Lattice Boltzmann ◽  
Equations Of State ◽  
Density Ratio ◽  
Transition Process ◽  
Lattice Boltzmann Model ◽  
New Model ◽  
Phase Transition Process ◽  
Simulation Results ◽  
Boltzmann Model

A new lattice Boltzmann model, which is based on Shan-Chen (SC) model, is proposed to describe liquid-vapor phase transitions. The new model is validated through simulation of the one-component phase transition process. Compared with the simulation results of van der Waals fluid and the Maxwell equal-area construction, the results of new model are closer to the analytical solutions than those of SC model and Zhang model. Since the range of temperature and the maximum density ratio are increased, and the value of maximum spurious current is between those of SC and Zhang models, it is believed that this new model has better stability than SC and Zhang models. Therefore, the application scope of this new model is expanded. According to the principle of corresponding states in Engineering Thermodynamics, the simulations of water and ammonia phase transition process are implemented by using this new model with different equations of state. Compared to the experimental data of water and ammonia, the results show that the Peng-Robinson equation of state is more suitable to describe the water, ammonia and other substances phase transition process. Therefore, these simulation results have great significance for the real engineering applications.

Simulation of phase transition process using lattice Boltzmann method

2009 ◽  
Vol 54 (24) ◽  
pp. 4596-4603 ◽  
Author(s):  
JianBang Zeng ◽  
LongJian Li ◽  
Quan Liao ◽  
WenZhi Cui ◽  
QingHua Chen ◽  
...  
Keyword(s):  
Phase Transition ◽  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Transition Process ◽  
Phase Transition Process ◽  
Boltzmann Method

scholarly journals Application of lattice Boltzmann method to phase transition process

2010 ◽  
Vol 59 (1) ◽  
pp. 178
Author(s):  
Zeng Jian-Bang ◽  
Li Long-Jian ◽  
Liao Quan ◽  
Chen Qing-Hua ◽  
Cui Wen-Zhi ◽  
...  
Keyword(s):  
Phase Transition ◽  
Lattice Boltzmann Method ◽  
Lattice Boltzmann ◽  
Transition Process ◽  
Phase Transition Process ◽  
Boltzmann Method

The effect of Argon pressure dependent V thin film on the phase transition process of (020) VO2 thin film

2018 ◽  
Vol 427 ◽  
pp. 304-311 ◽  
Author(s):  
Yifan Meng ◽  
Kang Huang ◽  
Zhou Tang ◽  
Xiaofeng Xu ◽  
Zhiyong Tan ◽  
...  
Keyword(s):  
Thin Film ◽  
Phase Transition ◽  
Transition Process ◽  
Argon Pressure ◽  
Phase Transition Process

Exploration of Doubly Thermal Phase Transition Process of PDEGA-b-PDMA-b-PVCL in Water

Langmuir ◽  
2016 ◽  
Vol 32 (26) ◽  
pp. 6691-6700 ◽  
Author(s):  
Zhangxin Ye ◽  
Youcheng Li ◽  
Zesheng An ◽  
Peiyi Wu
Keyword(s):  
Phase Transition ◽  
Transition Process ◽  
Thermal Phase Transition ◽  
Phase Transition Process ◽  
Thermal Phase

scholarly journals Predicting porosity, permeability, and tortuosity of porous media from images by deep learning

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Krzysztof M. Graczyk ◽  
Maciej Matyka
Keyword(s):  
Neural Networks ◽  
Porous Medium ◽  
Porous Media ◽  
Deep Learning ◽  
Lattice Boltzmann ◽  
Good Accuracy ◽  
Two Dimensional ◽  
Empirical Estimate ◽  
Flow Through ◽  
Boltzmann Method

AbstractConvolutional neural networks (CNN) are utilized to encode the relation between initial configurations of obstacles and three fundamental quantities in porous media: porosity ($$\varphi$$ φ ), permeability (k), and tortuosity (T). The two-dimensional systems with obstacles are considered. The fluid flow through a porous medium is simulated with the lattice Boltzmann method. The analysis has been performed for the systems with $$\varphi \in (0.37,0.99)$$ φ ∈ ( 0.37 , 0.99 ) which covers five orders of magnitude a span for permeability $$k \in (0.78, 2.1\times 10^5)$$ k ∈ ( 0.78 , 2.1 × 10 5 ) and tortuosity $$T \in (1.03,2.74)$$ T ∈ ( 1.03 , 2.74 ) . It is shown that the CNNs can be used to predict the porosity, permeability, and tortuosity with good accuracy. With the usage of the CNN models, the relation between T and $$\varphi$$ φ has been obtained and compared with the empirical estimate.

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