Lei Yang^1,2, Yiyun Hu¹, Xianglong Yang^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.148, No.1, 2026, DOI:10.32604/cmes.2026.083905 - 27 July 2026

Abstract Accurate prediction of entropy generation in nanofluid turbulent convection is essential for optimizing thermal system efficiency, yet remains challenging due to complex near-wall phenomena and thermal property variations with temperature. This study applied an elliptic blending turbulence model (SST k-ω-φ-α) to numerically analyze entropy generation in alumina-water nanofluid flow through a uniformly heated circular tube. The model’s performance was validated using both experimental data and established heat transfer and fluid flow correlations at small wall-bulk temperature difference condition, and its superiority was rigorously evaluated against two widely adopted turbulence models (SST k-ω and realizable k-ε).… More >

Conghai Chen¹, Dingran Sun², Yikai Chen², Jianxin Xu^2,*, Hua Wang²

FDMP-Fluid Dynamics & Materials Processing, Vol.22, No.6, 2026, DOI:10.32604/fdmp.2026.082984 - 30 June 2026

Abstract Serpentine heat exchangers are extensively used in energy and chemical engineering owing to their compact geometry and high thermal performance. To improve their efficiency, three-dimensional numerical simulations are conducted using the SST k-ω turbulence model for both serpentine and straight tubes fitted with twisted tape inserts. Three twist ratios (y = 5.77, 8.57, 12.48) are examined across a Reynolds number range of 10,000 to 22,000. Results show that the average Nusselt number increases with Reynolds number, while the friction factor decreases. In particular, due to curvature-driven secondary motions, serpentine configurations consistently outperform straight tubes in thermal… More >

Justin E. Ka Ip Sun¹, Lin Fu^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-2, 2025, DOI:10.32604/icces.2025.011859

Abstract The inner-outer interaction model (IOIM), first proposed by Marusic et al. [1], based on the amplitude modulation mechanism, has proven to be a successful turbulence model for canonical and non-canonical flows, where a reference velocity signal from the logarithmic region acts as the input for predicting near-wall velocity fluctuations below the reference location. Its most recent iteration by Baars et al. [2] further proposes a user-independent scale separation point, refining model parameters. The IOIM model has been used extensively in various applications, where its framework and amplitude modulation mechanism have been validated in other types… More >

J. Serrano-Arellano¹, M.I. Hernández-López¹, J. L. Chávez-Servín², E. V. Macias-Melo³, K. M. Aguilar-Castro^3,*

Frontiers in Heat and Mass Transfer, Vol.23, No.6, pp. 1741-1765, 2025, DOI:10.32604/fhmt.2025.069560 - 31 December 2025

Abstract A numerical study analyzed double diffusion caused by convective and radiative heat transfer in a greenhouse with and without internal humidity sources. Two cases were examined: one considering temperature and mass concentration gradients on vertical walls and another incorporating internal humidity sources, enhancing convective and diffusive flows. Four configurations were analyzed by varying the length of the greenhouse, and the Rayleigh number was calculated over a range from 2.29 × 10¹⁰ to 6.07 × 10¹². Simulations modeled the greenhouse interior six times a day (8:00 a.m. to 7:00 p.m.), accounting for external temperature, humidity, and solar More > Graphic Abstract

Mehmet Numan Kaya^*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 327-343, 2025, DOI:10.32604/cmes.2025.072000 - 30 October 2025

Abstract This study investigates the influence of mesh resolution and turbulence model selection on the accuracy of numerical simulations for transonic flow, with particular emphasis on shock-boundary layer interaction phenomena. Accurate prediction of such flows is notoriously difficult due to the sensitivity to near-wall resolution, global mesh density, and turbulence model assumptions, and this problem motivates the present work. Two solvers were employed, rhoCentralFoam (unsteady) and TSLAeroFoam (steady-state), both are compressible and density-based and implemented within the OpenFOAM framework. The investigation focuses on three different non-dimensional wall distance (y⁺) values of 1, 2.5 and 5, each implemented… More >

Ning Hu, Cunbiao Lee^*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.10, pp. 2389-2417, 2025, DOI:10.32604/fdmp.2025.067248 - 30 October 2025

Abstract The formation, evolution, and dynamics of flow structures in wall-bounded turbulence have long been central themes in fluid-mechanics research. Over the past three decades, Soliton-like Coherent Structures (SCSs) have emerged as a ubiquitous and unifying feature across a wide range of shear flows, including K-type, O-type, N-type, and bypass transitional boundary layers, as well as fully developed turbulent boundary layers, mixing layers, and pipe flows. This paper presents a systematic review of the fundamental properties of SCSs and highlights their fundamental role in multiple transition scenarios. The analysis further explores the connection between SCSs and… More > Graphic Abstract

Ahmad S. Azzahrani^*

Energy Engineering, Vol.122, No.11, pp. 4703-4713, 2025, DOI:10.32604/ee.2025.067398 - 27 October 2025

Abstract The Light Detection and Ranging (LiDAR) data analysis method has emerged as a powerful and versatile tool for characterizing atmospheric conditions and modeling light propagation through various media. In the context of renewable energy, particularly wind energy, LiDAR is increasingly utilized to analyze wind flow, turbine wake effects, and turbulence in complex terrains. This study focuses on advancing LiDAR data interpretation through the development and application of the LiDAR Statistical Barnes Objective Analysis (LiSBOA) method. LiSBOA enhances the capacity of scanning LiDAR systems by enabling more precise optimization of scan configurations and improving the retrieval… More >

Shuxun Li^1,2, Yuhao Tian^1,2,*, Guolong Deng^1,2, Wei Li^1,2, Yinggang Hu^1,2, Xiaoya Wen^1,2

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.8, pp. 1809-1837, 2025, DOI:10.32604/fdmp.2025.065877 - 12 September 2025

Abstract The conventional Shear Stress Transport (SST) k–ω turbulence model often exhibits substantial inaccuracies when applied to the prediction of flow behavior in complex regions within axial flow control valves. To enhance its predictive fidelity for internal flow fields, this study introduces a novel calibration framework that integrates an artificial neural network (ANN) surrogate model with a particle swarm optimization (PSO) algorithm. In particular, an optimal Latin hypercube sampling strategy was employed to generate representative sample points across the empirical parameter space. For each sample, numerical simulations using ANSYS Fluent were conducted to evaluate the flow characteristics,… More >

Ahmad Fazlizan^1,*, Wan Khairul Muzammil², Najm Addin Al-Khawlani¹

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 1371-1437, 2025, DOI:10.32604/cmes.2025.067854 - 31 August 2025

Abstract This review provides a comprehensive and systematic examination of Computational Fluid Dynamics (CFD) techniques and methodologies applied to the development of Vertical Axis Wind Turbines (VAWTs). Although VAWTs offer significant advantages for urban wind applications, such as omnidirectional wind capture and a compact, ground-accessible design, they face substantial aerodynamic challenges, including dynamic stall, blade–wake interactions, and continuously varying angles of attack throughout their rotation. The review critically evaluates how CFD has been leveraged to address these challenges, detailing the modelling frameworks, simulation setups, mesh strategies, turbulence models, and boundary condition treatments adopted in the literature.… More >

Lun Zhang¹, Zhongzheng Jiang^1,*, Weifang Chen¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012382

Abstract The study of boundary-layer transition and turbulence plays a crucial role in the development and design of high-speed aircrafts. Direct numerical simulation (DNS) is a numerical tool that enables the capture of flow phenomena across all scales, making it highly valuable for investigating the mechanism and process of transition and turbulence. In the DNS community, the prevailing approach involves directly resolving the Navier-Stokes (NS) equations. However, certain high-order effects lie beyond the capabilities of NS models when simulating compressible transition and turbulence under specific circumstances. To address this limitation, we have developed a DNS method… More >