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Zheng L, Zheng S, Zhai Q. Lattice Boltzmann equation for convection-diffusion flows with Neumann boundary condition. Phys Rev E 2025; 111:035311. [PMID: 40247557 DOI: 10.1103/physreve.111.035311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2024] [Accepted: 02/26/2025] [Indexed: 04/19/2025]
Abstract
In this work, a lattice Boltzmann equation (LBE) is developed to convection-diffusion flows with Neumann boundary condition in complex geometry. The physical fluid domain together with the physical boundary is extended to a large domain similar to the fictitious domain method, and the original convection-diffusion equation (CDE) is reformulated for the large domain, where the Neumann boundary condition is naturally incorporated to CDE without separated explicit treatment. Based on this extended CDE for the large domain, the LBE solver is designed accordingly. Several classical simulations of pure thermal diffusion/natural convection between two concentrated cylinders, natural convection flow around a circular cylinder with constant heat flux in square cavity, and mixed convection flow in a square lid-driven cavity with a circular cylinder are carried out to validate the present method. Numerical results show that the predictions by present LBE agree well with theoretical or other results.
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Affiliation(s)
- Lin Zheng
- Nanjing University of Science and Technology, MIIT Key Laboratory of Thermal Control of Electronic Equipment, School of Energy and Power Engineering, Nanjing 210094, People's Republic of China
| | - Song Zheng
- Zhejiang University of Finance and Economic, School of Data Science, Hangzhou 310018, People's Republic of China
| | - Qinglan Zhai
- Chaohu University, School of Economics Management and Law, Chaohu 238000, People's Republic of China
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Fan R, Habibi P, Padding J, Hartkamp R. Coupling mesoscale transport to catalytic surface reactions in a hybrid model. J Chem Phys 2022; 156:084105. [DOI: 10.1063/5.0081829] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Rong Fan
- Delft University of Technology, Netherlands
| | | | | | - Remco Hartkamp
- Process & Energy, Delft University of Technology, Netherlands
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Liu S, Wei X, Sun W, Wang C, Li W, Ma L, Liu Q. Coking Prediction in Catalytic Glucose Conversion to Levulinic Acid Using Improved Lattice Boltzmann Model. Ind Eng Chem Res 2020. [DOI: 10.1021/acs.iecr.0c03635] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Siwei Liu
- Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, P. R. China
- Key Laboratory of Renewable Energy, Chinese Academy of Sciences, Guangzhou 510640, P. R. China
- Guangdong Key Laboratory of New and Renewable Energy Research and Development, Guangzhou 510640, P.R. China
- University of Chinese Academy of Sciences, Beijing 100049, P.R. China
| | - Xiangqian Wei
- Laboratory of Basic Research in Biomass Conversion and Utilization, Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230026, P. R. China
| | - Weitao Sun
- Laboratory of Basic Research in Biomass Conversion and Utilization, Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230026, P. R. China
| | - Chenguang Wang
- Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, P. R. China
- Key Laboratory of Renewable Energy, Chinese Academy of Sciences, Guangzhou 510640, P. R. China
- Guangdong Key Laboratory of New and Renewable Energy Research and Development, Guangzhou 510640, P.R. China
| | - Wenzhi Li
- Laboratory of Basic Research in Biomass Conversion and Utilization, Department of Thermal Science and Energy Engineering, University of Science and Technology of China, Hefei 230026, P. R. China
| | - Longlong Ma
- Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, P. R. China
- Key Laboratory of Renewable Energy, Chinese Academy of Sciences, Guangzhou 510640, P. R. China
- Guangdong Key Laboratory of New and Renewable Energy Research and Development, Guangzhou 510640, P.R. China
| | - Qiying Liu
- Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Guangzhou 510640, P. R. China
- Key Laboratory of Renewable Energy, Chinese Academy of Sciences, Guangzhou 510640, P. R. China
- Guangdong Key Laboratory of New and Renewable Energy Research and Development, Guangzhou 510640, P.R. China
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Guo X, Chai Z, Pang S, Zhao Y, Shi B. Mixed bounce-back boundary scheme of the general propagation lattice Boltzmann method for advection-diffusion equations. Phys Rev E 2019; 99:063316. [PMID: 31330611 DOI: 10.1103/physreve.99.063316] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Indexed: 11/07/2022]
Abstract
In this work, a mixed bounce-back boundary scheme of general propagation lattice Boltzmann (GPLB) model is proposed for isotropic advection-diffusion equations (ADEs) with Robin boundary condition, and a detailed asymptotic analysis is also conducted to show that the present boundary scheme for the straight walls has a second-order accuracy in space. In addition, several numerical examples, including the Helmholtz equation in a square domain, the diffusion equation with sinusoidal concentration gradient, one-dimensional transient ADE with Robin boundary and an ADE with a source term, are also considered. The results indicate that the numerical solutions agree well with the analytical ones, and the convergence rate is close to 2.0. Furthermore, through adjusting the two parameters in the GPLB model properly, the present boundary scheme can be more accurate than some existing lattice Boltzmann boundary schemes.
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Affiliation(s)
- Xiuya Guo
- School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Zhenhua Chai
- School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, China.,Hubei Key Laboratory of Engineering Modeling and Scientific Computing, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Shengyong Pang
- State Key Laboratory of Material Processing and Die & Mould Technology, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Yong Zhao
- School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, China
| | - Baochang Shi
- School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan 430074, China.,Hubei Key Laboratory of Engineering Modeling and Scientific Computing, Huazhong University of Science and Technology, Wuhan 430074, China
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Zhang L, Yang S, Zeng Z, Chew JW. Consistent second-order boundary implementations for convection-diffusion lattice Boltzmann method. Phys Rev E 2018; 97:023302. [PMID: 29548227 DOI: 10.1103/physreve.97.023302] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Indexed: 06/08/2023]
Abstract
In this study, an alternative second-order boundary scheme is proposed under the framework of the convection-diffusion lattice Boltzmann (LB) method for both straight and curved geometries. With the proposed scheme, boundary implementations are developed for the Dirichlet, Neumann and linear Robin conditions in a consistent way. The Chapman-Enskog analysis and the Hermite polynomial expansion technique are first applied to derive the explicit expression for the general distribution function with second-order accuracy. Then, the macroscopic variables involved in the expression for the distribution function is determined by the prescribed macroscopic constraints and the known distribution functions after streaming [see the paragraph after Eq. (29) for the discussions of the "streaming step" in LB method]. After that, the unknown distribution functions are obtained from the derived macroscopic information at the boundary nodes. For straight boundaries, boundary nodes are directly placed at the physical boundary surface, and the present scheme is applied directly. When extending the present scheme to curved geometries, a local curvilinear coordinate system and first-order Taylor expansion are introduced to relate the macroscopic variables at the boundary nodes to the physical constraints at the curved boundary surface. In essence, the unknown distribution functions at the boundary node are derived from the known distribution functions at the same node in accordance with the macroscopic boundary conditions at the surface. Therefore, the advantages of the present boundary implementations are (i) the locality, i.e., no information from neighboring fluid nodes is required; (ii) the consistency, i.e., the physical boundary constraints are directly applied when determining the macroscopic variables at the boundary nodes, thus the three kinds of conditions are realized in a consistent way. It should be noted that the present focus is on two-dimensional cases, and theoretical derivations as well as the numerical validations are performed in the framework of the two-dimensional five-velocity lattice model.
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Affiliation(s)
- Liangqi Zhang
- School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637459, Singapore
| | - Shiliang Yang
- School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637459, Singapore
| | - Zhong Zeng
- Department of Engineering Mechanics, Colledge of Aerospace Engineering, Chongqing University, Chongqing 400044, People's Republic of China
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, People's Republic of China
| | - Jia Wei Chew
- School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637459, Singapore
- Singapore Membrane Technology Center, Nanyang Environment and Water Research Institute, Nanyang Technological University, Singapore 637141, Singapore
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