Results 141 to 150 of about 54,493 (265)

TU Delft COVID-app: A tool to democratize CFD simulations for SARS-CoV-2 infection risk analysis. [PDF]

Sci Total Environ, 2022
Faleiros DE, van den Bos W, Botto L, Scarano F.   +3 more
europepmc   +1 more source

A hydrodynamic study of nickel suspension in stirred tanks

, 2005
Many studies on solid-liquid mixing have been dedicated to low density particles at low solids concentrations. In the present work, computational fluid dynamics (CFD) simulation and experimental methods were employed to study suspension of high density ...
Aoyi, Ochieng
core  

Blade Count and Rotational Speed Sensitivity of Vertical‐Axis Turbines Under Guided Vehicle‐Generated Transient Wakes

Energy Science &Engineering, EarlyView.
Passing vehicles generate short‐duration wakes that can be redirected toward a vertical‐axis turbine. The interaction between wake structure, blade count, and rotational speed governs transient torque production. Low‐solidity configurations combined with tuned rotational speed enhance energy extraction under vehicle‐induced gusts.
Aydin Ulus, Stefan Ilie Moldovan
wiley   +1 more source

Computational Fluid Dynamics Simulation of Thermal Processes in Food Technology and Their Applications in the Food Industry

Applied Sciences
In this review, the application of computational fluid dynamics (CFD) simulations in analyzing thermal processes within food technology is explored. The focus is on understanding heat transfer, fluid flow, and temperature distribution during various food
Arkadiusz Szpicer, Weronika Bińkowska, Adrian Stelmasiak, Magdalena Zalewska, Iwona Wojtasik-Kalinowska, Karol Piwowarski, Joanna Piepiórka-Stepuk, Andrzej Półtorak   +7 more
doaj   +1 more source

Unsteady Flow Behavior and Radial Force Analysis of a Side Channel Pump Under Different Blade Tip Cutting Angles Using Computational Fluid Dynamics

Energy Science &Engineering, EarlyView.
The Radial Force (RF) distribution under different cutting angles is presented in Figure 1. Generally, the distribution of RF displays divergence across different flow conditions. The pattern of force distribution reveals a total of 24 peaks, which corresponds to the number of blades of the impeller of the SCP.
Kofi Asamoah Adu‐Poku, Desmond Appiah, Fan Zhang, Chen Ke   +3 more
wiley   +1 more source

Effect of Tunnel Ventilation on Hydrogen Dispersion From Leaks in Hydrogen Fuel Cell Trucks

Energy Science &Engineering, EarlyView.
This study investigates hydrogen leakage scenarios involving hydrogen fuel cell trucks within tunnels. Using computational fluid dynamics methods, it explores the distribution characteristics of hydrogen concentrations and the efficiency of ventilation under different forced ventilation conditions. ABSTRACT The widespread adoption of hydrogen fuel cell
Limin Geng, Shiyu Shan, Zongxue Yan, Nan Gao, Dong Huang, Zhao Gao, Xinxin Cao   +6 more
wiley   +1 more source

Flow Characteristics and Response Surface Methodology‐Based Pressure‐Loss Prediction Models for the Reverse Circulation Converter in Double‐Wall Drill Pipes

Energy Science &Engineering, EarlyView.
Flow characteristics and pressure loss mechanisms of a reverse circulation converter in dual‐wall drill pipes are systematically investigated using CFD and response surface methodology. The results reveal the dominant role of inertial dissipation and provide a predictive framework for optimizing converter design and operational parameters. ABSTRACT The
Mingming Geng, Hui Zhang, Junpeng Li, Baokang Wu, Geng Zhang, Xinrui Wang, Jintao An, Long Chen, Yiming Ma   +8 more
wiley   +1 more source

Correlations for Concentration Polarization and Pressure Drop in Spacer-Filled RO Membrane Modules Based on CFD Simulations. [PDF]

Membranes (Basel), 2021
Gu B, Adjiman CS, Xu XY.
europepmc   +1 more source

Inter‐Material Transfer Learning for Accelerated Nanofluid Heat Transfer Prediction: A Machine Learning Approach for Energy Systems

Energy Science &Engineering, EarlyView.
This study presents an inter‐material transfer learning framework for nanofluid heat transfer prediction in energy systems. By leveraging knowledge from Al2O3‐water data, the model accurately predicts hybrid Al2O3‐TiO2 nanofluid performance with only 20 simulations, achieving R2 = 0.985 and reducing computational requirements by 78. ABSTRACT This paper
Soumaya Hadj Salah, Aymen Ochi, Sonia Bezi   +2 more
wiley   +1 more source

Mini-AUV Hydrodynamic Parameters Identification via CFD Simulations and Their Application on Control Performance Evaluation. [PDF]

Sensors (Basel), 2021
Castillo-Zamora JJ, Camarillo-Gómez KA, Pérez-Soto GI, Rodríguez-Reséndiz J, Morales-Hernández LA.   +4 more
europepmc   +1 more source