Dong Hu^1,2, Lingxing Hu³, Facheng Qiu^3,*

Frontiers in Heat and Mass Transfer, Vol.23, No.6, pp. 1865-1882, 2025, DOI:10.32604/fhmt.2025.073409 - 31 December 2025

Abstract With the acceleration of industrialization and urbanization, ammonia nitrogen pollution in water bodies has become increasingly severe, making the development of efficient and low-consumption wastewater treatment technologies highly significant. This study employs three-dimensional computational fluid dynamics (CFD) to investigate the cavitation mechanisms and flow field characteristics in a novel jet impingement-negative pressure ammonia removal reactor. The simulation, validated by experimental pressure data with a high degree of consistency, utilizes the Mixture model, the Realizable k-ε turbulence model, and the Schnerr-Sauer cavitation model. The results demonstrate that the flow velocity undergoes a substantial acceleration within the… More > Graphic Abstract

Liangxiu Zhang¹, Qinghai Zhao^2,3,*, Feiteng Cheng¹

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.9, pp. 2177-2199, 2025, DOI:10.32604/fdmp.2025.068499 - 30 September 2025

Abstract To advance the performance of solid oxide fuel cells (SOFCs), this work proposes a novel biomimetic flow field architecture inspired by the geometric arrangement of sunflower florets. Drawing on natural principles of optimal spatial distribution, a multi-physics simulation model of the resulting Sunflower Bionic Flow Field (SBFF) was developed. Building upon this foundation, an enhanced configuration was introduced by integrating an annular channel, yielding a modified variant referred to as Modified Sunflower Bionic Flow Field (MSBFF). For comparative purposes, a conventional Traditional Parallel Flow Field (TPFF) was also analyzed under identical conditions. Simulation results underscore… More >

Jichao Li, Xuexin Zhu, Cong Zhang, Shiwang Dang, Guang Chen^*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.9, pp. 2305-2329, 2025, DOI:10.32604/fdmp.2025.067087 - 30 September 2025

Abstract The rapid advancement of technology and the increasing speed of vehicles have led to a substantial rise in energy consumption and growing concern over environmental pollution. Beyond the promotion of new energy vehicles, reducing aerodynamic drag remains a critical strategy for improving energy efficiency and lowering emissions. This study investigates the influence of key geometric parameters on the aerodynamic drag of vehicles. A parametric vehicle model was developed, and computational fluid dynamics (CFD) simulations were conducted to analyse variations in the drag coefficient () and pressure distribution across different design configurations. The results reveal that 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 >

Jiangbo Wu¹, Siyi Sun¹, Xiaoze Du^1,2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.8, pp. 1789-1807, 2025, DOI:10.32604/fdmp.2025.064254 - 12 September 2025

Abstract This study explores the aerodynamic performance and flow field characteristics of supercritical carbon dioxide (sCO₂) centrifugal compressors under varying operating conditions. In particular, the Sandia main compressor impeller model is used as a reference system. Through three-dimensional numerical simulations, we examine the Mach number distribution, temperature field, blade pressure pulsation spectra, and velocity field evolution, and identify accordingly the operating boundaries ensuring stability and the mechanisms responsible for performance degradation. Findings indicate a stable operating range for mass flow rate between 0.74 and 3.74 kg/s. At the lower limit (0.74 kg/s), the maximum Mach number within… More >

Junying Wei¹, Guangxian Yin², Jihao Zhang², Wenwen Chang², Chenrui Zhang², Zhengyi Li¹, Long Chang¹, Minghan Peng^3,*

Frontiers in Heat and Mass Transfer, Vol.23, No.4, pp. 1185-1201, 2025, DOI:10.32604/fhmt.2025.067244 - 29 August 2025

Abstract The scroll expander, as the core component of the micro-compressed air energy storage and power generation system, directly affects the output efficiency of the system. Meanwhile, the scroll profile plays a central role in determining the output performance of the scroll expander. In this study, in order to investigate the output characteristics of a variable cross-section scroll expander, numerical simulation and experimental studies were conducted by using Computational Fluid Dynamics (CFD) methods and dynamic mesh techniques. The impact of critical parameters on the output performance of the scroll expander was analyzed through the utilization of… More >

Shuang Li¹, Suoying He², Shen Cheng^1,*, Jiarui Wu¹, Ruiting Meng¹

Energy Engineering, Vol.122, No.6, pp. 2309-2335, 2025, DOI:10.32604/ee.2025.062216 - 29 May 2025

Abstract In view of the situation of multi-temperature, multi-medium and multi-discharge equipment on the integrated exhaust end platform of a natural gas distributed energy station, which is compact in layout, mutual influence, complex aerodynamic field and complex heat and mass transfer field, the temperature field and aerodynamic field of the platform were comprehensively studied through field experiments and numerical simulation. The research results show that the high temperature flue gas discharged from the chimney is hindered by the chimney cap and returns downward. The noise reduction walls around the chimney make the top of the platform… More >

Abubakar Unguwanrimi Yakubu^1,2,4, Jiahao Zhao¹, Qi Jiang¹, Xuanhong Ye¹, Junyi Liu¹, Qinglong Yu¹, Shusheng Xiong^1,3,4,*

Energy Engineering, Vol.122, No.3, pp. 1025-1051, 2025, DOI:10.32604/ee.2025.057680 - 07 March 2025

Abstract This study uses numerical simulations of liquid cooling flow fields to investigate polymer exchange membrane fuel cell (PEMFC) thermal control. The research shows that the optimum cooling channel design significantly reduces the fuel cell’s temperature differential, improving overall efficiency. Specifically, the simulations show a reduction in the maximum temperature by up to 15% compared to traditional designs. Additionally, according to analysis, the Nusselt number rises by 20% with the implementation of serpentine flow patterns, leading to enhanced heat transfer rates. The findings demonstrate that effective cooling strategies can lead to a 10% increase in fuel More >

Yasunori Okano^1,*, Tsuyoshi Miyamoto¹, Sadik Dost²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011685

Abstract We have developed a machine learning model, called Hybrid-PINNs (Physics Informed Neural Networks), and applied for fast predictions of transport structures (flow and thermal fields) in the silicon (Si) melt during the Czochralski (Cz) bulk single crystal growth. Si bulk single crystals are mostly grown by the Cz method. For the growth of high-quality Si crystals with this method, it is essential to understand and control these transport structures in the melt. Since the direct observation of such transport fields in the melt during growth is usually impossible, numerical simulations provide a powerful tool for… More >

Weixin Jiang^1,*, Zongze Li², Qing Yuan^3,*, Junhua Gong², Bo Yu⁴

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.1, pp. 1-3, 2024, DOI:10.32604/icces.2024.011266

Abstract High resolution flow field results are of great significance for exploring physical laws and guiding practical engineering practice. However, traditional activities based on experiments or direct numerical solutions to obtain high-resolution flow fields typically require a significant amount of computational time or resources. In response to this challenge, this study proposes an efficient and robust high-resolution flow field reconstruction method by embedding graph theory into neural networks, to adapt to low data volume situations. In the high resolution flow field reconstruction problem of an NS equation, the proposed model has a lower mean squared error More >