Hong Qi¹, Jun Zhang^1,*, Xinyao Hu², Liming Qian¹, Peiyu He^2,*

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.8, 2026, DOI:10.32604/fdmp.2026.086917 - 04 September 2026

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 >

Bo Zhang^1,2,3,4, Guosheng Ai^1,2,3,4, Junlin Wu⁴, Mingyi Zhang^1,2,3,4, Xinqing Zhang^5,*, Cong Li^1,2,3,4, Xuanwei Zhang^1,2,3,4, Na Li^1,2,3,4, Limin Yuan^1,2,3,4

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.8, 2026, DOI:10.32604/fdmp.2026.086215 - 04 September 2026

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 >

Shubham Gapchup¹, Javed S. Shaikh¹, Khizar A. Pathan², Sher Afghan Khan^3,*, Saba Fatima¹

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.8, 2026, DOI:10.32604/fdmp.2026.084236 - 04 September 2026

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 >

Shiyu Yang, Yuanfang Lin, Yancong Qiao, Longfei Zhang, Haiyu Yu, Xianghua Xu^*, Xingang Liang^*

Frontiers in Heat and Mass Transfer, Vol.24, No.4, 2026, DOI:10.32604/fhmt.2026.084170 - 31 August 2026

Abstract The rapid increase in onboard heat loads has made aircraft thermal management a critical issue. As an important part of the fuel thermal management system (FTMS), the dynamic thermal characteristics of the engine oil system (EOS) directly determine temperature regulation and fuel heat sink utilization, necessitating further investigation. In this paper, a novel dynamic heat transfer model for the oil pump was firstly developed through temperature step experiments. Subsequently, a transient flow and heat transfer model of the oil loop was established using the thermal fluid network (TFN) method, and the influence of thermal inertia… More > Graphic Abstract

Anxiang Shen¹, Xinxin Ren², Tao Wang¹, Jianqiu Zhou^1,2,*

Frontiers in Heat and Mass Transfer, Vol.24, No.4, 2026, DOI:10.32604/fhmt.2026.082573 - 31 August 2026

Abstract To address the growing number of variable-composition ejector refrigeration cycles, this study proposes analyzing the matching performance between working fluids and cycles through 3D (Temperature-Entropy-Mass fraction) Thermodynamic Diagrams. The ejector refrigeration cycle is decoupled into a driving module and a refrigeration module, and a theoretical upper-bound model (COP_limiting) that depends only on working-fluid properties is derived from the T-s diagram. Graph-theoretic analysis yields an explicit relation between COP_limiting and fluid-specific parameters such as Δs_b-b^′/Δs_a-b^′ and Δs_e-e^′/Δs_d-e^′. Definition of k₁ (ΔT_4–7/Δs_e-e^′) and k₂ (ΔT_3–4/Δs_b-b^′) reveals that wet fluids favour the refrigeration module, whereas dry fluids favour the driving module. The influence… More >

Wensheng Li¹, Zeyang Zhang¹, Xinjie Chai², Facheng Qiu^1,*

Frontiers in Heat and Mass Transfer, Vol.24, No.4, 2026, DOI:10.32604/fhmt.2026.080472 - 31 August 2026

Abstract Hydrodynamic jet technologies have emerged as a promising approach for advanced wastewater treatment, offering engineering advantages through operational efficiency and system simplicity. As a critical review, this work examines three major hydrodynamic approaches—atomized jets, cavitation jets, and pulsed-jet systems—and analyzes their degradation mechanisms and practical applications in pollutant abatement. By systematically evaluating current research trends, this review elucidates the synergistic interplay between hydrodynamic effects, including turbulent shear, microbubble implosion, and reactive radical generation, and contaminant-decomposition pathways. Quantitative evidence from the reviewed literature further reveals significant performance enhancements achieved by these technologies. Optimized cavitating jets (e.g.,… More > Graphic Abstract

Yi Pan, Mingshen Wang, Ye Xue, Huiyu Miao, Kemin Dai, Xiaodong Yuan^*, Fei Zeng

Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2025.074882 - 30 August 2026

Abstract Electric vehicles (EVs), characterized by their large-scale deployment and flexible charging–discharging scheduling, represent a growing form of transportation. However, their widespread adoption poses considerable challenges to the security and stability of the power grid during peak charging periods, highlighting the need for effective management of the coupled traffic–grid system. To address this issue, this paper proposes a blockchain-driven optimization model for charging scheduling in dynamic traffic networks. Blockchain technology is introduced to ensure data transparency and security in decentralized decision-making. First, a queuing model integrating the Bureau of Public Roads (BPR) function with the M/M/c/K… More > Graphic Abstract

Yunlong Du¹, Shuyi Zhuang^2,*, Zhigang Ye², Qiangsheng Bu², Yun Chai¹, Yuanbing Wang³

Energy Engineering, Vol.123, No.10, 2026, DOI:10.32604/ee.2025.074702 - 30 August 2026

Abstract Under the dual challenges of global warming and energy transition, improving the short-term forecasting accuracy of surface solar radiation is of great practical importance for photovoltaic (PV) power integration. In this study, a short-term solar radiation forecasting model based on the XGBoost machine learning algorithm was developed for Jiangsu Province by integrating multispectral data from the Fengyun-4A (FY-4A) geostationary satellite with ground-based meteorological observations. The model incorporated 18 input features—including satellite reflectance, solar zenith angle, normalized difference vegetation index (NDVI), elevation, and land-cover data—to dynamically predict ground horizontal irradiance (GHI) with 0–4 h lead times.… More >

Mehmet Işik^*

Phyton-International Journal of Experimental Botany, Vol.95, No.8, 2026, DOI:10.32604/phyton.2026.077897 - 28 August 2026

Abstract The aim of the study examines the effects of contrasting greenhouse microclimates on nutrient uptake, dry matter yield (DMY), and water use efficiency (WUE) in maize (Zea mays L.) during the early vegetative stage, under limited irrigation conditions. The study addresses the question of how microclimatic factors, particularly airflow and the humidity of the greenhouse, affect plant growth and nutrient dynamics under deficit irrigation conditions. The experiment was established at the Research and Application Greenhouses of the Department of Soil Science and Plant Nutrition, Çukurova University, Adana, Türkiye. Two greenhouse environments were compared: first with a… More >

Muhammad Idrees Khan^*, Hua-Dong Yao

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.2, 2026, DOI:10.32604/cmes.2026.087251 - 28 August 2026

Abstract Quantum computational fluid dynamics (QCFD) is an active but still immature research area, and quantum lattice Boltzmann methods (QLBM) provide a natural mesoscopic route because their collision–streaming structure can be decomposed into algorithmic blocks. This paper reviews QLBM and related hybrid quantum–classical fluid approaches from an engineering computational fluid dynamics (CFD) perspective, emphasizing physical scope, boundary realism, nonlinear collision treatment, measurement cost, hardware assumptions, and comparison with optimized classical baselines. The discussion is connected to computational aeroacoustics (CAA), where practical workflows already separate source generation, acoustic propagation, and design loops, creating possible insertion points for… More >