Results 81 to 90 of about 519,852 (408)
NNPred: A Predictor Library to Deploy Neural Networks in Computational Fluid Dynamics software [PDF]
arXiv, 2022 A neural-networks predictor library has been developed to deploy machine learning (ML) models into computational fluid dynamics (CFD) codes. The pointer-to-implementation strategy is adopted to isolate the implementation details in order to simplify the implementation to CFD solvers.
arxiv
Challenges of using CFD simulation for the design and online control of ventilation systems
Indoor and Built Environment, 2018 The optimal design and control of ventilation systems is of great importance to both indoor health and building energy efficiency. Indoor airflow characteristics play an important role for ventilation systems due to their great influence on indoor ...
Shi-Jie Cao
semanticscholar +1 more source
Machine Learning‐Driven Multi‐Objective Optimization of Microchannel Reactors for CO₂ Conversion
Advanced Sustainable Systems, EarlyView.This study introduces a novel method that combines CFD, RSM, and ML to improve a microreactor's performance utilizing the Sabatier reaction. A range of ML models is assessed, and the best one is selected to predict optimal reactor conditions. ML shows the ability to predict performance in just milliseconds, leading to a decrease in computational time ...
Sandeep Kumar +2 more
wiley +1 more source
Study of a regenerative pump using numerical and experimental techniques [PDF]
, 2009 Regenerative pumps are the subject of increased interest in industry as these pumps are low cost, low specific speed, compact and able to deliver high heads with stable performance characteristics.
Quail, Francis +2 more
core
Modelling of heat and mass transfer processes in neonatology [PDF]
, 2008 This paper reviews some of our recent applications of Computational Fluid Dynamics (CFD) to model heat and mass transfer problems in neonatology and investigates the major heat and mass transfer mechanisms taking place in medical devices such as ...
Ginalski, MK, Nowak, AJ, Wrobel, LC
core +1 more source
SediFoam: A general-purpose, open-source CFD-DEM solver for particle-laden flow with emphasis on sediment transport [PDF]
, 2016 With the growth of available computational resource, CFD-DEM (computational fluid dynamics-discrete element method) becomes an increasingly promising and feasible approach for the study of sediment transport. Several existing CFD-DEM solvers are applied in chemical engineering and mining industry.
arxiv +1 more source
Recent progress in CFD modeling of powder flow charging during pneumatic conveying [PDF]
arXiv, 2022 Thus far, Computational Fluid Dynamics (CFD) simulations fail to predict the electrostatic charging of particle-gas flows reliably. The lack of a predictive tool leads to powder operations prone to deposits and discharges, making chemical plants unsustainable and prime candidates for explosions. This paper reviews the rapid progress of numerical models
arxiv
Recurrence CFD - a novel approach to simulate multiphase flows with strongly separated time scales [PDF]
Chem. Eng. Sci. 153 (2016), 394 - 410, 2016 Classical Computational Fluid Dynamics (CFD) of long-time processes with strongly separated time scales is computationally extremely demanding if not impossible. Consequently, the state-of-the-art description of such systems is not capable of real-time simulations or online process monitoring.
arxiv +1 more source
Advanced Theory and Simulations, EarlyView.Computational fluid dynamics analyses assess the upstream locomotion performance of anisotropic microrollers with varying height‐to‐width ratios. Observing their successful upstream locomotion in veins, their performance in hepatic circulation is investigated for treating primary liver cancer.
Burak Arslan +8 more
wiley +1 more source
CFD computation of the Savonius rotor
Journal of Theoretical and Applied Mechanics, 2015 In this paper, Computational Fluid Dynamics (CFD) analysis of a two-dimensional two- -bucket Savonius rotor, using ANSYS Fluent solver, is presented. Computational methods of fluid dynamics are used to estimate the aerodynamic forces acting on the rotor, the torque and the power extracted by the Savonius rotor.
Rogowski, Krzysztof, Maroński, Ryszard
openaire +3 more sources