Results 71 to 80 of about 142,824 (305)
The role of biomechanics in the assessment of carotid atherosclerosis severity: a numerical approach [PDF]
, 2018 Numerical fluid biomechanics has been proved to be an efficient tool for understanding vascular diseases including atherosclerosis. There are many evidences that atherosclerosis plaque formation and rupture are associated with blood flow ...
Bou-said, Benyebka +4 more
core
Experimental and numerical investigation of Helmholtz resonators and perforated liners as attenuation devices in industrial gas turbine combustors [PDF]
, 2014 This paper reports upon developments in the simulation of the passive control of combustion dynamics in industrial gas turbines using acoustic attenuation devices such as Helmholtz resonators and perforated liners.
Houston, B. +6 more
core +1 more source
CFD simulation of flapped rotors [PDF]
The Aeronautical Journal, 2015 AbstractThe use of active trailing edge flaps on rotors may lead to performance benefits as well as noise and vibration reduction. In this work, computational fluid dynamics, using the HMB2 solver, is used to assess the effect of the trailing edge flaps on the whole flight domain of a modern main rotor.
Dehaeze, F. +2 more
openaire +1 more source
AIChE Journal, EarlyView.Abstract Generating hydrogel beads pertains to many engineering applications. We examined two alginate‐based fluids at three concentrations of alginate, cAG$$ {c}_{\mathrm{AG}} $$. We used the “Map of Misery” to determine which material property (viscosity, elasticity, and inertia) drives droplet formation.
Conor G. Harris +5 more
wiley +1 more source
, 2017 The following document presents a summary of the CFD simulations performed by EnginSoft S.p.A. to improve the design of the MTF. The development of the internal layout began during the CE study at DLR Institute of Space System from September 7th to September 18th 2015 and was documented in the Design Report [4].
Magnabosco, Diana +2 more
openaire +1 more source
A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
Advanced Intelligent Discovery, EarlyView.This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source
EPJ Web of Conferences, 2013 Particle tracks in a hydrocyclone generated both experimentally by positron emission particle tracking (PEPT) and numerically with Eulerian-Lagranian CFD have been studied and compared. A hydrocyclone with a cylinder-on-cone design was used in this study,
Hoffmann Alex C. +3 more
doaj +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
ОСОБЛИВОСТІ НАЛАШТУВАННЯ CFD-ПРОГРАМ ДЛЯ ПІДВИЩЕННЯ ЕФЕКТИВНОСТІ МОДЕЛЮВАННЯ ВИТРАТОМІРІВ
Автоматизация технологических и бизнес-процессов, 2017 In this paper, the authors conducted study of a number of parameters configuring the CFD-program Flow Simulations of the CAD SolidWorks for increasing the efficiency of modelling of ultrasonic flowmeters and orifice flowmeters.
Ф. Д. Матіко +2 more
doaj +1 more source