Open Access
ARTICLE
Zongzheng Jiao1, Shuaikang Yang1, Junlong Yin1, Shaohui Wang2, Minpo Jung1,*
FDMP-Fluid Dynamics & Materials Processing, DOI:10.32604/fdmp.2026.087218
（This article belongs to the Special Issue: Multiscale Fluid–Solid Interactions in Geomaterials and Low-Carbon Processing in Civil Engineering)
Abstract Hydro-mechanical (HM) simulations of porous-media systems—such as those used in geotechnical engineering, groundwater flow, formation consolidation, and underground-structure safety assessment—become computationally expensive when large material- and load-parameter spaces must be explored for design optimization, uncertainty quantification, or real-time decision support. Although data-driven surrogate models can accelerate such analyses, it remains unclear whether explicitly conditioning a history-based predictor on physical parameters offers a meaningful advantage over learning directly from the temporal evolution of the physical fields. This study systematically benchmarks five physical-parameter conditioning strategies—token concatenation, feature-wise linear modulation (FiLM), weak FiLM, adaptive instance normalization (AdaIN), and… More >
Open Access
REVIEW
Shubham Gapchup1, Javed S. Shaikh1, Khizar A. Pathan2, Sher Afghan Khan3,*, Saba Fatima1
FDMP-Fluid Dynamics & Materials Processing, DOI:10.32604/fdmp.2026.084236
（This article belongs to the Special Issue: Analysis of High-Speed Flows using Advanced Computational Methods)
Abstract Surface pressure distribution is one of the primary factors governing the aerodynamic performance, stability, controllability, and structural loading of high-speed aerospace vehicles. Accurate prediction of surface pressure is therefore essential for the design, optimization, and safe operation of flight systems ranging from supersonic aircraft to hypersonic vehicles and atmospheric re-entry platforms. Over the past several decades, extensive theoretical, computational, and experimental research has sought to characterize pressure distributions over canonical configurations, including wedges, cones, and delta wings, across a broad spectrum of flow conditions. This review provides a critical and comprehensive assessment of the current… More >
Open Access
ARTICLE
Pennelli Saila Kumari1, Shaik Mohammed Ibrahim1, Bhavanam Naga Lakshmi2, Giulio Lorenzini3,*
FDMP-Fluid Dynamics & Materials Processing, DOI:10.32604/fdmp.2026.083129
Abstract This study examines transient heat and mass transfer characteristics in a Casson-based hybrid nanofluid (Au–Cu/water) flowing over a time-dependent stretching elastic surface in the presence of porous media and viscous dissipation. The mathematical model further incorporates the effects of magnetic fields, thermal radiation, chemical reactions, and velocity slip conditions to capture realistic transport phenomena encountered in advanced thermal systems. Through suitable similarity transformations, the governing partial differential equations are reduced to a system of nonlinear ordinary differential equations, which are solved numerically using the MATLAB bvp4c solver. To identify optimal operating conditions, Response Surface Methodology… More >
Open Access
ARTICLE
Hong Qi1, Jun Zhang1,*, Xinyao Hu2, Liming Qian1, Peiyu He2,*
FDMP-Fluid Dynamics & Materials Processing, DOI:10.32604/fdmp.2026.086917
Abstract This study presents a novel grooved-tooth rotary cavitation generator (GRCG) and systematically investigates its hydrodynamic cavitation and wastewater treatment response through a combination of three-dimensional transient numerical simulations and experimental validation. The simulations, based on the Realizable k-ε turbulence model and the Zwart-Gerber-Belamri cavitation model, are used to examine the influence of radial clearance (L) and rotational speed (N) on cavitation development. The numerical predictions are validated through Escherichia coli inactivation and Rhodamine B degradation experiments. The results show that decreasing the radial clearance and increasing the rotational speed markedly enhance cavitation intensity. At L = 1 More >
Open Access
ARTICLE
Bo Zhang1,2,3,4, Guosheng Ai1,2,3,4, Junlin Wu4, Mingyi Zhang1,2,3,4, Xinqing Zhang5,*, Cong Li1,2,3,4, Xuanwei Zhang1,2,3,4, Na Li1,2,3,4, Limin Yuan1,2,3,4
FDMP-Fluid Dynamics & Materials Processing, DOI:10.32604/fdmp.2026.086215
Abstract This study investigates the physicochemical characteristics, particle deposition behavior, and plugging mechanisms of produced fluids from drainage-gas recovery wells in high-salinity gas reservoirs, using a representative well from the Tarim Oilfield as a case study for a broad class of production systems affected by liquid-phase pipeline plugging. A comprehensive experimental methodology was adopted, combining physicochemical characterization, filtration and static sedimentation experiments, dynamic deposition tests, scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM-EDS), and X-ray diffraction (XRD). This combined experimental approach was employed to identify the dominant deposition mechanisms and determine the particle-size fractions most… More >
Open Access
ARTICLE
Chuang Guan1,2, Wei Fu3, Guodong Cai1, Fengling Yang1, Jiangtao Liu1, Hangyu Wu1, Chuantao Wu1, Chunyu Zhang1, Ming Gao2,*
FDMP-Fluid Dynamics & Materials Processing, DOI:10.32604/fdmp.2026.084304
Abstract Flow maldistribution and local short-circuiting within blast furnace gas fine desulfurization systems can substantially impair desulfurization performance while increasing hydraulic losses and energy consumption. To elucidate the underlying flow mechanisms, a three-dimensional computational fluid dynamics (CFD) model accounting for the pressure variation across the top gas recovery turbine (TRT) was developed to investigate the flow characteristics under both high- and low-pressure operating conditions. Guided by the numerical analysis, an integrated structural optimization strategy, combining inlet deflector plates with the sealing of perforated plates adjacent to partition regions, was proposed. The optimized configuration significantly enhanced flow… More >
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