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  • Open Access

    ARTICLE

    Effect of Fin Spacing on Frost Growth and Airflow Dynamics in ASHP Evaporators

    Zhengqing Zhang1,2,3,*, Xiaojun Yuan2, Hui Wu2

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.12, pp. 2927-2943, 2025, DOI:10.32604/fdmp.2025.071115 - 31 December 2025

    Abstract Frost accumulation on the evaporator fins of air source heat pumps (ASHPs) severely degrades heat transfer performance and overall system efficiency. To address this, the present study employs computational fluid dynamics (CFD) to investigate how fin spacing influences frosting behavior, emphasizing the coupled evolution of frost thickness, density, airflow, and temperature distribution within fin channels. Results reveal that fin spacing is a key parameter governing both the extent and rate of frost growth. Wider fin spacing enhances frost accumulation, with a final frost mass of 6.41 g at 12 mm, about 71.8% higher than at More >

  • Open Access

    ARTICLE

    Numerical Simulation of Microscopic Seepage Mechanisms in Gas Reservoir Storage Systems

    Yulong Zhao1, Yang Luo1,*, Yuming Luo2, Yulai Pang2, Ruihan Zhang1, Zihan Zhao3

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.12, pp. 3073-3090, 2025, DOI:10.32604/fdmp.2025.070685 - 31 December 2025

    Abstract The development of underground gas storage (UGS) systems is vital for maintaining stability between energy supply and demand. This study explores the dynamic response mechanisms of carbonate reservoirs subjected to intense injection–production cycling during UGS operations. By integrating three-dimensional digital core technology with a coupled poro-mechanical model, we simulate the pore-scale behavior of a representative Huangcaoxia UGS carbonate core. The results demonstrate that fluid–solid coupling effects markedly amplify permeability reduction, far exceeding the influence of porosity variations alone. More significantly, gas production leads to a pronounced decline in permeability driven by rising effective stress, arising More >

  • Open Access

    ARTICLE

    Numerical Investigation of Load Generation in U-Shaped Aqueducts under Lateral Excitation: Part II—Non-Resonant Sloshing

    Yang Dou1, Hao Qin1, Yuzhi Zhang1,2, Ning Wang1, Haiqing Liu3,4, Wanli Yang1,2,4,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.12, pp. 3091-3122, 2025, DOI:10.32604/fdmp.2025.070082 - 31 December 2025

    Abstract In recent years, tuned liquid dampers (TLDs) have emerged as a focal point of research due to their remarkable potential for structural vibration mitigation. Yet, progress in this field remains constrained by an incomplete understanding of the fundamental mechanisms governing sloshing-induced loads in liquid-filled containers. Aqueducts present a distinctive case, as the capacity of their contained water to function effectively as a TLD remains uncertain. To address this gap, the present study investigates the generation mechanisms of sloshing loads under non-resonant cases through a two-dimensional (2D) computational fluid dynamics (CFD) model developed in ANSYS Fluent.… More >

  • Open Access

    REVIEW

    3D Printing of Organic and Biological Materials

    Priyadarshini Patel, Komal Parmar*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.12, pp. 2855-2903, 2025, DOI:10.32604/fdmp.2025.069428 - 31 December 2025

    Abstract Tissue engineering has advanced remarkably in developing functional tissue substitutes for pharmaceutical and regenerative applications. Among emerging technologies, three-dimensional (3D) printing, or additive manufacturing, enables precise fabrication of biocompatible materials, living cells, and scaffolds into complex, viable constructs. Within regenerative medicine, 3D bioprinting addresses the growing demand for transplantable tissues and organs by assembling biological materials that replicate native architectures. This paper reviews biomaterials used in 3D bioprinting, emphasizing how their rheological behavior, particularly viscoelasticity and thixotropy, governs printability, structural fidelity, and cellular viability. The advantages and limitations of natural, synthetic, and composite bioinks are More > Graphic Abstract

    3D Printing of Organic and Biological Materials

  • Open Access

    ARTICLE

    Effect of Salinity on Imbibition-Based Oil Production

    Xiong Liu1, Yueqi Cui1,*, Yirui Ren1, Lingxuan Peng2, Yuchan Cheng1, Zhiyuan Du1, Yu Chen1, Lishan Cao3

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2815-2828, 2025, DOI:10.32604/fdmp.2025.073775 - 01 December 2025

    Abstract This study explores the impact of salinity on fluid replacement during imbibition-driven oil recovery through a series of core self-imbibition experiments. By integrating key parameters such as interfacial tension, contact angle, and oil displacement efficiency, we systematically examine how variations in salinity level, ion type, and ion concentration affect the imbibition process. The results demonstrate that the salinity of the injected fluid exerts a strong influence on the rate and extent of oil recovery. Compared with high-salinity conditions, low-salinity injection, particularly below 5000 mg·L−1, induces pronounced fluctuations in the replacement rate, achieving the highest recovery at More >

  • Open Access

    ARTICLE

    Numerical Analysis of Ice Accretion under Varying Conditions in the Pantograph Region of High-Speed Trains

    Xiulong Yao1, Mengge Yu1,*, Jiali Liu2, Qian Zhang1

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2795-2814, 2025, DOI:10.32604/fdmp.2025.072708 - 01 December 2025

    Abstract High-speed trains operating in freezing rain are highly susceptible to severe ice accretion in the pantograph region, which compromises both power transmission efficiency and dynamic performance. To elucidate the underlying mechanisms of this phenomenon, an Euler–Euler multiphase flow model was employed to simulate droplet impingement and collection on the pantograph surface, while a glaze-ice formation model incorporating wall film dynamics was used to capture the subsequent growth of ice. The effects of key parameters—including liquid water content, ambient temperature, train velocity, and droplet diameter—on the amount and morphology of ice were systematically investigated. The results More >

  • Open Access

    ARTICLE

    Optimization of Cement-Based Slurry Mix Design Incorporating Silica Fume for Enhanced Setting and Strength Performance

    Ke Li1, Bendong Liu1, Yulong Han2, Yafeng Zhang3, Chunqi Yang1, Dawei Yin2, Yazhou Zhang3, Wantao Ding4,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2779-2793, 2025, DOI:10.32604/fdmp.2025.072671 - 01 December 2025

    Abstract Traditional cement-based slurries are often constrained by excessive cement consumption, prolonged setting times, and limited controllability, which hinder their broader engineering applications. To overcome these challenges, this study focuses on optimizing ordinary cement-based slurry through the incorporation of targeted additives and rational adjustment of mix proportions, with the aim of developing a rapid-setting, early-strength cementitious system. In particular, a series of comparative and orthogonal experiments were conducted to systematically examine the evolution of the slurry’s macroscopic properties. In addition, the response surface methodology (RSM) was introduced to reveal the interaction mechanisms among key parameters, thereby… More >

  • Open Access

    ARTICLE

    MHD Thermosolutal Flow in Casson-Fluid Microchannels: Taguchi–GRA–PCA Optimization

    Amina Mahreen1, Fateh Mebarek-Oudina2,3,4,*, Amna Ashfaq1, Jawad Raza1, Sami Ullah Khan5, Hanumesh Vaidya6

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2829-2853, 2025, DOI:10.32604/fdmp.2025.072492 - 01 December 2025

    Abstract Understanding the complex interaction between heat and mass transfer in non-Newtonian microflows is essential for the development and optimization of efficient microfluidic and thermal management systems. This study investigates the magnetohydrodynamic (MHD) thermosolutal convection of a Casson fluid within an inclined, porous microchannel subjected to convective boundary conditions. The nonlinear, coupled equations governing momentum, energy, and species transport are solved numerically using the MATLAB bvp4c solver, ensuring high numerical accuracy and stability. To identify the dominant parameters influencing flow behavior and to optimize transport performance, a comprehensive hybrid optimization framework—combining a modified Taguchi design, Grey… More >

  • Open Access

    ARTICLE

    Influence of Nozzle Geometry and Operating Parameters on High-Pressure Water Jets

    Yuxin Wang1, Youjiang Wang2, Jieping Wang2, Chao Zhang1,*, Fanguang Meng3, Linhua Zhang1, Yongxing Song1,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2761-2777, 2025, DOI:10.32604/fdmp.2025.072236 - 01 December 2025

    Abstract High-pressure water jet technology has emerged as a highly effective method for removing industrial-scale deposits from pipelines, offering a clean, efficient, and environmentally sustainable alternative to conventional mechanical or chemical cleaning techniques. Among the many parameters influencing its performance, the geometry of the nozzle plays a decisive role in governing jet coherence, impact pressure distribution, and overall cleaning efficiency. In this study, a comprehensive numerical and experimental investigation is conducted to elucidate the influence of nozzle geometry on the behavior of high-pressure water jets. Using Computational Fluid Dynamics (CFD) simulations based on the Volume of… More >

  • Open Access

    ARTICLE

    Deep Learning-Based Prediction of Seepage Flow in Soil-Like Porous Media

    Zhenzhen Shen1,2, Kang Yang2, Dengfeng Wei2, Quansheng Liang2, Zhenpeng Ma2, Hong Wang2, Keyu Wang2, Chunwei Zhang2, Xiaohu Yang3,*

    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 >

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