Results 51 to 60 of about 7,139 (201)

APTNet: A Condition‐Sensitive Modulation Framework for Surface Pressure Prediction on Supersonic Aircraft

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate surface‐pressure prediction over broad operating envelopes is critical for supersonic aerodynamic analysis and design. To overcome the bottlenecks of traditional computational fluid dynamics (CFD) in real‐time performance and computational efficiency, data‐driven deep learning methods have emerged. However, existing data‐driven models
Hongbin Xu, Yin Long, Junlin Wu
wiley   +1 more source

Investigating Breathing Dynamics of a 110 kV Oil‐Immersed Transformer Using Thermal‐Fluid‐Structure Interaction Modelling

open access: yesHigh Voltage, EarlyView.
ABSTRACT The breathing system of an oil‐immersed transformer is of vital importance for maintaining equilibrium between internal and external pressures, with any malfunction potentially disrupting the transformer's stable operation. This study develops a thermal–fluid–structure interaction (TFSI) model to simulate the breathing phenomenon in a 110 kV ...
Lujia Wang   +5 more
wiley   +1 more source

Verification of ANSYS Fluent and OpenFOAM CFD platforms for prediction of impact flow

open access: yesEPJ Web of Conferences, 2017
The main goal of the article is a verification of the heat transfer coefficient numerically predicted by two CDF platforms – ANSYS-Fluent and OpenFOAM on the problem of impact flows oncoming from 2D nozzle.
Tisovská Petra   +2 more
doaj   +1 more source

Enhancing stroke risk stratification in atrial fibrillation through non‐Newtonian blood modelling and Gaussian process emulation

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Non‐Newtonian modelling and GPEs for stroke risk in atrial fibrilation patients. Abstract Atrial fibrillation (AF) is the most common heart arrhythmia, linked to a five‐fold increase in stroke risk. The left atrial appendage (LAA), prone to blood stasis, is a common thrombus formation site in AF patients.
Paolo Melidoro   +12 more
wiley   +1 more source

Implementation of nozzle motion for material extrusion additive manufacturing in Ansys Fluent

open access: yesVirtual and Physical Prototyping
Most computational fluid dynamics (CFD) modelling of material extrusion additive manufacturing (MEX-AM) mainly relies on a moving boundary condition applied to the print bed and not the direct modelling of the motion of the nozzle.
Max Galloway   +5 more
doaj   +1 more source

Validation of Tidal Stream Turbine Wake Predictions and Analysis of Wake Recovery Mechanism

open access: yesJournal of Marine Science and Engineering, 2019
This paper documents the predictive capability of rotating blade-resolved unsteady Reynolds averaged Navier-Stokes (URANS) and Improved Delayed Detached Eddy Simulation (IDDES) computations for tidal stream turbine performance and intermediate wake ...
Sanchit Salunkhe   +6 more
doaj   +1 more source

Rosin-Rammler Distributions in ANSYS Fluent

open access: yes, 2012
In Health Physics monitoring, particles need to be collected and tracked. One method is to predict the motion of potential health hazards with computer models. Particles released from various sources within a glove box can become a respirable health hazard if released into the area surrounding a glove box.
openaire   +2 more sources

Virtual left atrial appendage occlusion in paroxysmal atrial fibrillation during sinus rhythm predicts variable reductions in blood stasis

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Stasis before and after left atrial appendage occlusion (LAAO) in participants with high stasis and low stasis. Stasis is predominantly located in LAA and reduced after LAAO. But in the participant with high stasis, stasis remains close to the occlusion site, indicating a potential risk for device related thrombi.
Sophia Bäck   +6 more
wiley   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, Volume 72, Issue 7, July 2026.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

Lattice Boltzmann Method: A New Alternative for Loss Estimation

open access: yesChemical Engineering Transactions, 2013
In order to estimate primary containment losses in the industry, two methods have been traditionally used: Source Models (SM) and conventional Computational Fluid Dynamics models (CFD).
J. Diaz Cruz   +3 more
doaj   +1 more source

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