Zhenzhen Shen^1,2, Kang Yang², Dengfeng Wei², Quansheng Liang², Zhenpeng Ma², Hong Wang², Keyu Wang², Chunwei Zhang², Xiaohu Yang^3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2741-2760, 2025, DOI:10.32604/fdmp.2025.070395 - 01 December 2025

Abstract The rapid prediction of seepage mass flow in soil is essential for understanding fluid transport in porous media. This study proposes a new method for fast prediction of soil seepage mass flow by combining mesoscopic modeling with deep learning. Porous media structures were generated using the Quartet Structure Generation Set (QSGS) method, and a mesoscopic-scale seepage calculation model was applied to compute flow rates. These results were then used to train a deep learning model for rapid prediction. The analysis shows that larger average pore diameters lead to higher internal flow velocities and mass flow More >

Heping Wang^1,*, Ying Lu¹, Yanggui Li²

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 391-410, 2025, DOI:10.32604/cmes.2025.069763 - 30 October 2025

Abstract With oily wastewater treatment emerging as a critical global issue, porous media and shear forces have received significant attention as environmentally friendly methods for oil–water separation. This study systematically simulates the dynamics of oil-in-water emulsion demulsification under porous media and shear forces using a color-gradient Lattice Boltzmann model. The morphological evolution and demulsification efficiency of emulsions are governed by porous media and shear forces. The effects of porosity and shear velocity on demulsification are quantitatively analyzed. (1) The presence of porous media enhances the ability of the flow field to trap oil droplets, with lower More >

Jingwen Wang, Ming Xu, Deming Nie^*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.9, pp. 2225-2251, 2025, DOI:10.32604/fdmp.2025.068327 - 30 September 2025

Abstract This study employs the fluctuating-lattice Boltzmann method to investigate temperature-gradient-driven aggregation of microswimmers, specifically, pulling-type (pullers) and pushing-type (pushers), within a fluid confined by two channel walls. The analysis incorporates the Brownian motion of both swimmer types and introduces key dimensionless parameters, including the swimming Reynolds, Prandtl, and Lewis numbers, to characterize the influences of self-propulsion strength, thermal diffusivity, and Brownian diffusivity on aggregation efficiency and behavior. Our findings reveal that pushers tend to aggregate either along the channel centerline or near the channel walls under conditions of thermal gradients imposed by heated or cooled More >

Zenan Lai, Deming Nie^*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.9, pp. 2131-2148, 2025, DOI:10.32604/fdmp.2025.068091 - 30 September 2025

Abstract The lattice Boltzmann method (LBM) is employed to simulate flow around two staggered cylinders within a confined channel. The numerical model is validated against existing experimental data by comparing drag coefficients and Strouhal numbers in the single-cylinder configuration. The study systematically investigates the influence of vertical () and horizontal () spacing between the cylinders, as well as the Reynolds number ( = 0.1–160), on the hydrodynamic forces, streamline patterns, and vortex dynamics. Results indicate that reducing the horizontal spacing  suppresses flow separation behind the upstream cylinder, while either excessively small or large vertical spacing  diminishes separation… More >

Dongfang Li¹, Mingliang Zheng^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.8, pp. 1955-1968, 2025, DOI:10.32604/fdmp.2025.069254 - 12 September 2025

Abstract To address the limitations of traditional finite element methods, particularly the continuum assumption and difficulties in tracking the solid-liquid interface, this study introduces a lattice Boltzmann-based mathematical and physical model to simulate flow and heat transfer in the laser welding molten pool of tin-coated copper used in solar panel busbars (a thin strip or wire of conductive metal embedded on the surface of a solar cell to collect and conduct the electricity generated by the photovoltaic cell). The model incorporates key external forces, including surface tension, solid-liquid interface tension, and recoil pressure. A moving and… More >

Jian Yang¹, Xinghao Gou¹, Jiayi Sun², Fei Liu¹, Xiaojin Zhou¹, Xu Liu¹, Tao Zhang^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.8, pp. 1935-1954, 2025, DOI:10.32604/fdmp.2025.066730 - 12 September 2025

Abstract Shale gas production involves complex gas-water two-phase flow, with flow patterns in proppant-filled fractures playing a critical role in determining production efficiency. In this study, 3D geometric models of 40/70 mesh ceramic particles and quartz sand proppant clusters were elaborated using computed tomography (CT) scanning. These models were used to develop a numerical simulation framework based on the lattice Boltzmann method (LBM), enabling the investigation of gas-water flow behavior within proppant-filled fractures under varying driving forces and surface tensions. Simulation results at a closure pressure of 15 MPa have revealed that ceramic particles exhibit a More >

Haichao Zhou^*, Wei Zhang, Tinghui Huang, Haoran Li

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.5, pp. 1113-1131, 2025, DOI:10.32604/fdmp.2025.064991 - 30 May 2025

Abstract The configuration of a spoiler plays a crucial role in the aerodynamics of a vehicle. In particular, investigating the impact of spoiler design on aerodynamic performance is essential for effectively reducing drag and optimizing efficiency. This study focuses on the 35° Ahmed body as the test model and examines six different spoiler types mounted on its slant surface. Using the Lattice Boltzmann Method (LBM) in XFlow and the Large Eddy Simulation (LES) technique, the aerodynamic effects of these spoilers were analyzed. The numerical approach was validated against published experimental data. Results indicate that aerodynamic drag More >

Min Feng^*, Long Wang, Lei Sun, Bo Yang, Wei Wang, Jianning Luo, Yan Wang, Ping Liu

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.3, pp. 573-587, 2025, DOI:10.32604/fdmp.2024.056421 - 01 April 2025

Abstract This study sheds light on how pore structure characteristics and varying dynamic pressure conditions influence the permeability of tight sandstone reservoirs, with a particular focus on the Paleozoic reservoirs in the Qingshimao Gas Field. Using CT scans of natural core samples, a three-dimensional digital core was constructed. The maximum ball method was applied to extract a related pore network model, and the pore structure characteristics of the core samples, such as pore radius, throat radius, pore volume, and coordination number, were quantitatively evaluated. The analysis revealed a normally distributed pore radius, suggesting a high degree… More >

Abdelilah Makaoui¹, El Bachir Lahmer^1,*, Jaouad Benhamou^1,2, Mohammed Amine Moussaoui¹, Ahmed Mezrhab¹

Frontiers in Heat and Mass Transfer, Vol.23, No.1, pp. 207-230, 2025, DOI:10.32604/fhmt.2024.060166 - 26 February 2025

Abstract This study focuses on numerically investigating thermal behavior within a differentially heated cavity filled with nanofluid with and without obstacles. Numerical comparison with previous studies proves the consistency and efficacy of the lattice Boltzmann method associated with a single relaxation time and its possibility of studying the nanofluid and heat transfer with high accuracy. Key parameters, including nanoparticle type and concentration, Rayleigh number, fluid basis, and obstacle position and dimension, were examined to identify optimal conditions for enhancing heat transfer quality. Principal findings indicated that increasing the Rayleigh number boosts buoyancy forces and alters vortex More > Graphic Abstract

Li Lu^1,2,3, Yadong Huang^2,4, Kuo Liu², Xuhui Zhang^3,5, Xiaobing Lu^3,5,*

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2173-2190, 2025, DOI:10.32604/cmes.2025.059045 - 27 January 2025

Abstract To study the development of imbibition such as the imbibition front and phase distribution in shale, the Lattice Boltzmann Method (LBM) is used to study the imbibition processes in the pore-throat network of shale. Through dimensional analysis, four dimensionless parameters affecting the imbibition process were determined. A color gradient model of LBM was used in computation based on a real core pore size distribution. The numerical results show that the four factors have great effects on imbibition. The impact of each factor is not monotonous. The imbibition process is the comprehensive effect of all aspects. More >