This is our latest selection of worldwide publications and patents in english on Fluid Mechanics, between many scientific online journals, classified and focused on fluid mechanics, fluid dynamics, viscoelastic, computational fluid, fluid-structure, multiphase flow, flow simulation, flow resistance, laminar, turbulent flow, pressure drop, Bernoulli and Navier-Stokes.
Challenges and Solutions
Published on 2025-03-10 by Talib Dbouk, Oumar Mourad @MDPI
Abstract: A literature review is presented on energy consumption and heat transfer in recent fifth-generation (5G) antennas in network base stations. The review emphasizes on the role of computational science in addressing emerging design challenges for the coming 6G technology, such as reducing energy consumption and enhancing equipment thermal management in more compact designs. It examines the contributions of (i) advanced modeling and simulation sciences, including antenna modeling and design, the use[...]
Our summary: Challenges in energy consumption and heat transfer in 5G antennas, Solutions for reducing energy consumption and enhancing thermal management in 6G technology, Importance of computational science and AI in developing innovative 6G thermal equipment designs.
energy consumption, heat transfer, computational science, 6G technology
Publication
Numerical Assessment of the Combustion of Methane–Hydrogen–Air Mixtures in Micro-Scale Conditions
Published on 2025-03-09 by C�sar Nieto-Londo�o, Wilber Silva-L�pez, Natalia G�mez-Vel�squez @MDPI
Abstract: Methane–hydrogen–air mixtures present a viable alternative to conventional fuels, reducing CO2 emissions while maintaining high energy density. This study numerically investigates their combustion characteristics in millimeter-scale reactors, focusing on flame stabilisation and combustion dynamics in confined spaces. A species transport model with volumetric reactions incorporated a detailed kinetic mechanism with 16 species and 41 reactions. The simulations employed [...]
Our summary: Study investigates combustion characteristics in millimeter-scale reactors, focusing on flame stabilisation and combustion dynamics. Key parameters include equivalence ratio, hydrogen volume fraction, inlet velocity, and gas pressure. Results show hydrogen enrichment enhances flame stability and combustion efficiency, with optimal performance over 40% hydrogen content.
Numerical Assessment, Combustion, Methane-Hydrogen-Air Mixtures, Micro-Scale Conditions
Publication
Ensemble Streamflow Simulations in a Qinghai–Tibet Plateau Basin Using a Deep Learning Method with Remote Sensing Precipitation Data as Input
Published on 2025-03-09 by Jinqiang Wang, Zhanjie Li, Ling Zhou, Chi Ma, Wenchao Sun @MDPI
Abstract: Satellite and reanalysis-based precipitation products have played a crucial role in addressing the challenges associated with limited ground-based observational data. These products are widely utilized in hydrometeorological research, particularly in data-scarce regions like the Qinghai–Tibetan Plateau (QTP). This study proposed an ensemble streamflow simulation method using remote sensing precipitation data as input. By employing a 1D Convolutional Neural Networks (1D CNN), stream[...]
Our summary: Ensemble streamflow simulations using deep learning method with remote sensing precipitation data. Utilization of satellite and reanalysis-based precipitation products in data-scarce regions like Qinghai-Tibetan Plateau. Comparison of different ensemble simulation methods and models for streamflow estimation.
Deep Learning, Remote Sensing, Ensemble Streamflow Simulation, Qinghai-Tibet Plateau Basin
Publication
The Role of Computational Fluid Dynamics and Experimental Investigation
Published on 2025-03-09 by Behrouz Pirouz, Hana Javadi Nejad, Anna Selene Chirillo, Seyed Navid Naghib, Patrizia Piro @MDPI
Abstract: The growing use of microfluidic-based devices necessitates an analysis of flow characteristics through both experimental methods and computational fluid dynamic (CFD) simulations. CFD simulations facilitate the investigation of various devices, including medical sensors, by providing detailed insights into flow behavior. In this study, we conducted experimental and CFD analysis of the microfluidic flow in three devices: a COVID-19 rapid test kit, a blood glucose kit, and a PDMS kit. Our findings[...]
Our summary: The study explores the flow characteristics of microfluidic devices through experimental methods and CFD simulations, revealing the impact of wall adhesion on flow speed predictions. Hemodynamic analysis of blood glucose and PDMS kits highlights the importance of microchannel diameter on flow speed. CFD results emphasize the role of porosity, surface tension coefficients, and contact angles in optimizing sensor development.
Computational Fluid Dynamics, Experimental Investigation, Microfluidic Devices, CFD simulations
Publication
Multi-Channel Speech Enhancement Using Labelled Random Finite Sets and a Neural Beamformer in Cocktail Party Scenario
Published on 2025-03-08 by Jayanta Datta, Ali Dehghan Firoozabadi, David Zabala-Blanco, Francisco R. Castillo-Soria @MDPI
Abstract: In this research, a multi-channel target speech enhancement scheme is proposed that is based on deep learning (DL) architecture and assisted by multi-source tracking using a labeled random finite set (RFS) framework. A neural network based on minimum variance distortionless response (MVDR) beamformer is considered as the beamformer of choice, where a residual dense convolutional graph-U-Net is applied in a generative adversarial network (GAN) setting to model the beamformer for target speech enh[...]
Our summary: Multi-channel target speech enhancement using labeled random finite sets and a neural beamformer in cocktail party scenario. Proposed scheme based on deep learning architecture and assisted by multi-source tracking using a labeled random finite set framework. Explores the use of a neural network based on minimum variance distortionless response beamformer for target speech enhancement under reverberant conditions involving multiple moving speech sources.
Speech Enhancement, Multi-Channel, Neural Beamformer, Deep Learning
Publication
Application of Machine Learning for Bulbous Bow Optimization Design and Ship Resistance Prediction
Published on 2025-03-08 by Yujie Shen, Shuxia Ye, Yongwei Zhang, Liang Qi, Qian Jiang, Liwen Cai, Bo Jiang @MDPI
Abstract: Resistance is a key index of a ship’s hydrodynamic performance, and studying the design of the bulbous bow is an important method to reduce ship resistance. Based on the ship resistance sample data obtained from computational fluid dynamics (CFD) simulation, this study uses a machine learning method to realize the fast prediction of ship resistance corresponding to different bulbous bows. To solve the problem of insufficient accuracy in the single surrogate model, this study propos[...]
Our summary: Application of Machine Learning for Bulbous Bow Optimization Design and Ship Resistance Prediction. Study uses machine learning to predict ship resistance based on bulbous bow design. CBR model improves accuracy and reduces resistance by 4.95%.
Machine Learning, Bulbous Bow, Ship Resistance, Optimization
Publication
Fluid flow simulation
Patent published on the 2025-02-19 in EP under Ref EP4510034 by ROLLS ROYCE PLC [GB] (Loh Jessica Sher En [gb], Arafat Naheed Anjum [gb], Kong Wai Kin Adams [gb], Chan Wai Lee [gb], Conduit Bryce D [gb], Lim Wei Xan [gb], Oo Thant Zin [gb])
Abstract: A method of using a computer implemented neural network for a simulation of aerodynamic performance of a technical object having a geometry, the method comprising:Training the neural network using a plurality of sets of encodings of pre-computed computational fluid dynamics, CFD, outputs, wherein the training is generated using inputs comprising:a geometry of at least one training technical object;spatial locations of input nodes of the neural network as node attributes;a relationship between th[...]
Our summary: Method using neural network for aerodynamic simulation of technical objects, training with pre-computed CFD outputs, generating predicted aerodynamic performance.
Fluid flow simulation, neural network, aerodynamic performance, computational fluid dynamics
Patent
Multi-port valve, water-side component, thermal management integrated system, and vehicle
Patent published on the 2025-02-19 in EP under Ref EP4509742 by HUAWEI DIGITAL POWER TECH CO LTD [CN] (Wong Ming Fung [cn], Li Quanming [cn], Du Lin [cn], Lu Linfeng [cn])
Abstract: This application relates to a multi-port valve, a water-side component, a thermal management integrated system, and a vehicle. The multi-port valve includes a valve body and a valve core, the valve core is located in an accommodation cavity of the valve body and is rotatably connected to the valve body, and a rotation center line of the valve core is an axis line (a). A first interface and a second interface that communicate with each other through the accommodation cavity are disposed on the va[...]
Our summary: The application describes a multi-port valve with a valve body and core for thermal management in vehicles, reducing flow resistance.
multi-port valve, water-side component, thermal management integrated system, vehicle
Patent
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