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  • Open Access

    ARTICLE

    Aerodynamic Noise Distribution in Wind Turbines with Different Microporous Blade Tip Structures

    Baohua Li, Yi Ye, Yuanjun Dai*

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.12, pp. 2809-2842, 2024, DOI:10.32604/fdmp.2024.054011 - 23 December 2024

    Abstract A linear microporous blade tip structure is designed in order to reduce the aerodynamic noise of a wind turbine during operations. Various structures of such a kind are considered and the related aerodynamic noise is determined in the framework of large vortex simulation and acoustic array test methods. The findings demonstrate that various blade tip designs can enhance the vortex trajectory in the tip region and lessen the pressure differential between the blade’s upper and lower surfaces. In particular, the wind turbine’s maximum linear velocity at the blade tip can be increased by 10%–23% while More > Graphic Abstract

    Aerodynamic Noise Distribution in Wind Turbines with Different Microporous Blade Tip Structures

  • Open Access

    ARTICLE

    Influence of Rayleigh-Taylor Instability on Impurity Dynamics during Column Back-Flushing Filtration

    Yanina N. Parshakova*, Andrey Ivantsov

    FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.12, pp. 2709-2720, 2024, DOI:10.32604/fdmp.2024.052396 - 23 December 2024

    Abstract During the manufacturing or processing of materials, large volumes of water of the required quality are often needed. Industrial water treatment and water purification is the process of removing impurities and pollution from the considered medium. To obtain liquid with specified quality parameters, complex systems of filters and treatment facilities are generally used. In this work, the cleaning process for a filtration column is studied. Three-dimensional numerical simulations of flow in a columnar array consisting of a porous medium are conducted. In particular, a model case corresponding to laboratory conditions is examined, with potassium salt… More >

  • Open Access

    TECHNICAL REPORT

    User Instructions for the Dynamic Database of Solid-State Electrolyte 2.0 (DDSE 2.0)

    Fangling Yang, Qian Wang, Eric Jianfeng Cheng, Di Zhang, Hao Li*

    CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 3413-3419, 2024, DOI:10.32604/cmc.2024.060288 - 19 December 2024

    Abstract The Dynamic Database of Solid-State Electrolyte (DDSE) is an advanced online platform offering a comprehensive suite of tools for solid-state battery research and development. Its key features include statistical analysis of both experimental and computational solid-state electrolyte (SSE) data, interactive visualization through dynamic charts, user data assessment, and literature analysis powered by a large language model. By facilitating the design and optimization of novel SSEs, DDSE serves as a critical resource for advancing solid-state battery technology. This Technical Report provides detailed tutorials and practical examples to guide users in effectively utilizing the platform. More >

  • Open Access

    ARTICLE

    Mechanical Properties of Copper with Dendritic Silver Inclusions: Insights from Molecular Dynamics Simulations

    Nicolás Amigo*

    CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 3665-3678, 2024, DOI:10.32604/cmc.2024.059895 - 19 December 2024

    Abstract This study explores the mechanical behavior of single-crystal copper with silver inclusions, focusing on the effects of dendritic and spherical geometries using molecular dynamics simulations. Uniaxial tensile tests reveal that dendritic inclusions lead to an earlier onset of plasticity due to the presence of high-strain regions at the complex inclusion/matrix interfaces, whereas spherical inclusions exhibit delayed plasticity associated with their symmetric geometry and homogeneous strain distribution. During the plastic regime, the dislocation density is primarily influenced by the volume fraction of silver inclusions rather than their shape, with spherical inclusions showing the highest densities due… More >

  • Open Access

    ARTICLE

    Molecular Dynamics Study on Hydrothermal Response of PNIPAM: From Single Chain to Cross-Linked Polymer

    Xianzhi Chen1, Dong Niu1,*, Hongtao Gao1, Mu Du2,3,*

    Frontiers in Heat and Mass Transfer, Vol.22, No.6, pp. 1743-1760, 2024, DOI:10.32604/fhmt.2024.058274 - 19 December 2024

    Abstract Thermosensitive hydrogel can integrate vapor molecular capture, in-situ liquefaction, and thermal-induced water release for freshwater capture. This study aimed to examine the dynamic behavior of poly (N-isopropylacrylamide) (PNIPAM) single chain and cross-linking thermosensitive hydrogel through molecular dynamics simulation. Specifically, the impact of lower critical solution temperature (LCST) on the conformation of polymer chain and the interaction between water and polymer chain were also investigated. The polymer chain conformation underwent a transition from coil to globule when the temperature exceeded the LCST, indicating the temperature responsiveness of PNIPAM. Additionally, thermosensitive hydrogel samples with different cross-linking degrees (DOC) More > Graphic Abstract

    Molecular Dynamics Study on Hydrothermal Response of PNIPAM: From Single Chain to Cross-Linked Polymer

  • Open Access

    ARTICLE

    Air-Side Heat Transfer Performance Prediction for Microchannel Heat Exchangers Using Data-Driven Models with Dimensionless Numbers

    Long Huang1,2,3,*, Junjia Zou3, Baoqing Liu1, Zhijiang Jin1,2, Jinyuan Qian1

    Frontiers in Heat and Mass Transfer, Vol.22, No.6, pp. 1613-1643, 2024, DOI:10.32604/fhmt.2024.058231 - 19 December 2024

    Abstract This study explores the effectiveness of machine learning models in predicting the air-side performance of microchannel heat exchangers. The data were generated by experimentally validated Computational Fluid Dynamics (CFD) simulations of air-to-water microchannel heat exchangers. A distinctive aspect of this research is the comparative analysis of four diverse machine learning algorithms: Artificial Neural Networks (ANN), Support Vector Machines (SVM), Random Forest (RF), and Gaussian Process Regression (GPR). These models are adeptly applied to predict air-side heat transfer performance with high precision, with ANN and GPR exhibiting notably superior accuracy. Additionally, this research further delves into… More >

  • Open Access

    ARTICLE

    The Hydrodynamic Crisis of Nucleate Boiling in a Horizontal Thin Layer of Dielectric Liquid HFE-7100

    V. I. Zhukov1,2,*, A. N. Pavlenko1

    Frontiers in Heat and Mass Transfer, Vol.22, No.6, pp. 1761-1775, 2024, DOI:10.32604/fhmt.2024.056779 - 19 December 2024

    Abstract The results of an experimental study on critical heat fluxes (CHF) during the nucleate boiling of the HFE-7100 dielectric liquid in horizontal layers of different heights at atmospheric pressure are presented. The existence of a critical layer height has been established. In layers above the critical layer height, a hydrodynamic boiling crisis occurs; in thinner layers, a surface drying crisis occurs. At a layer height equal to the critical value, a dry spot first appears, followed by transition boiling, which gradually spreads to the entire heating surface. In these experiments, the critical layer height was More >

  • Open Access

    PROCEEDINGS

    A Thermodynamically Consistent Phase-Field-Micromechanics Model of Solid-State Sintering with Coupled Diffusion and Diffusion-Induced Shrinkage

    Qingcheng Yang1,*, Arkadz Kirshtein2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011229

    Abstract Sintering is a pivotal technology for processing ceramic and metallic powders into solid objects. A profound understanding of microstructure evolution during sintering is essential for manufacturing products with tailored properties. While various phase-field models have been proposed to simulate microstructure evolution in solid-state sintering, correctly incorporating the densification assumption—where particles move toward each other by rigid body motion—remains a challenge. The fundamental obstacle lies in the ad hoc treatment of particle motion, where the thermodynamical driving force cannot be derived from the system's free energy. In this work, we present a novel phase-field micromechanics model More >

  • Open Access

    PROCEEDINGS

    Additive Manufacturing of Stents for the Coarctation of Aorta

    Yi Huang1, Giovanni Biglino1, Fengyuan Liu2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.013295

    Abstract Coarctation of aorta (CoA) is one of the congenital heart diseases with a proportion of 5% to 10%, which has a prevalence of four per 10,000 babies. As the most common cardiac defect missed at routine physical exams, CoA has a high undiagnosed rate of 60% to 80% in newborns before hospital discharge. The insertion of bare metal stents (BMS) with balloon dilatation is the useful method to reopen the narrow area of aorta. However, the stented vessel has a fixed diameter and cannot grow with the age, resulting in a relative restenosis and frequent… More >

  • Open Access

    PROCEEDINGS

    Effects of Spin Excitation on the Dislocation Dynamics in Body-Centered Cubic Iron

    Hideki Mori1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.012935

    Abstract To design the mechanical strength of iron, it is very important to clarify the detail of dislocation dynamics in Body-Centered Cubic (BCC) Iron. The dislocation core structures are typically confined to the nanometer scale.
    This implies that the resistance force from discrete atomic columns has a direct bearing on dislocation mobility.
    Recently, we've developed a high-fidelity inter-atomic potential leveraging neural networks built upon density functional theory (DFT) data. By conducting dislocation dynamics simulations, we've addressed shortcomings inherent in classical inter-atomic potential approaches. Nonetheless, a significant challenge persists: a three- to four-fold deviation exists between More >

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