Results 121 to 130 of about 267,200 (366)

Rockslide and Impulse Wave Modelling in the Vajont Reservoir by DEM-CFD Analyses

open access: yesRock Mechanics and Rock Engineering, 2016
This paper investigates the generation of hydrodynamic water waves due to rockslides plunging into a water reservoir. Quasi-3D DEM analyses in plane strain by a coupled DEM-CFD code are adopted to simulate the rockslide from its onset to the impact with ...
Tao Zhao, S. Utili, G. Crosta
semanticscholar   +1 more source

The Cut-Cell Method for the Conjugate Heat Transfer Topology Optimization of Turbulent Flows Using the “Think Discrete–Do Continuous” Adjoint

open access: yesEnergies
This paper presents a topology optimization (TopO) method for conjugate heat transfer (CHT), with turbulent flows. Topological changes are controlled by an artificial material distribution field (design variables), defined at the cells of a background ...
Nikolaos Galanos   +2 more
doaj   +1 more source

The transition from the fixed to the fluidized state of well‐mixed binary‐solid mixtures in a liquid upflow

open access: yesAIChE Journal, EarlyView.
Abstract In this work, an investigation of the transition from fixed to fluidized state of initially homogeneous binary‐solid mixtures due to an upward liquid flux was carried out. Like for analogous gas systems, it was confirmed that the full transition occurs over a range of fluid velocities, from the initial to the final fluidization velocity. Based
Renzo Di Felice, Filippo Marchelli
wiley   +1 more source

Physics‐informed neural networks (PINNs) for high‐resolutional prediction of shear stress on cells in suspension culture

open access: yesAIChE Journal, EarlyView.
Abstract The effect of shear stress on cell behaviors should be considered for designing the suspension culture of mammalian cells. Computational flow dynamics (CFD) is a promising tool for estimating shear stress on cells, but the accuracy is limited due to resolution limitations.
Ikki Horiguchi   +2 more
wiley   +1 more source

Dynamic site‐interconversion reduces the induction period of methanol‐to‐olefin conversion

open access: yesAIChE Journal, EarlyView.
Abstract Reaction–diffusion coupling across the catalyst pore, grain, pellet, and reactor bed has been studied using a particle‐resolved transient microkinetic model applied to temperature‐programmed desorption and step‐response studies of methanol and dimethyl ether conversion over ZSM‐5 catalysts, respectively.
Toyin Omojola
wiley   +1 more source

Multi-Disciplinary Design Optimisation of the Cooled Squealer Tip for High Pressure Turbines

open access: yesAerospace, 2018
The turbine tip geometry can significantly alter the performance of the turbine stage; its design represents a challenge for a variety of reasons. Multiple disciplines are involved in its design and their requirements limit the creativity of the designer.
Stefano Caloni   +2 more
doaj   +1 more source

Computational fluid dynamics (CFD) using porous media modeling predicts recurrence after coiling of cerebral aneurysms

open access: yesPLoS ONE, 2017
Objective This study aimed to predict recurrence after coil embolization of unruptured cerebral aneurysms with computational fluid dynamics (CFD) using porous media modeling (porous media CFD).
Yasuyuki Umeda   +8 more
semanticscholar   +1 more source

PairTilt: Design and Control of an Active Tilt‐Rotor Quadcopter for Improved Efficiency and Agility

open access: yesAdvanced Intelligent Systems, EarlyView.
PairTilt is an actuated tilt‐rotor unmanned aerial vehicle capable of active shape reconfiguration, balancing simplicity, efficiency, and agility. Its H‐shaped frame incorporates pairwise tiltable rotors, which reduce gyroscopic torque and decouple key dynamics, enhancing maneuverability and reducing drag.
Jerry Tang, Mark W. Mueller
wiley   +1 more source

Discrete and Continuous Adjoint-Based Aerostructural Wing Shape Optimization of a Business Jet

open access: yesFluids
This article presents single- and multi-disciplinary shape optimizations of a generic business jet wing at two transonic cruise flow conditions. The studies performed are based on two high-fidelity gradient-based optimization tools, assisted by the ...
Konstantinos Tsiakas   +7 more
doaj   +1 more source

Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning [PDF]

open access: yesarXiv, 2019
To realize efficient computational fluid dynamics (CFD) prediction of two-phase flow, a multi-scale framework was proposed in this paper by applying a physics-guided data-driven approach. Instrumental to this framework, Feature Similarity Measurement (FSM) technique was developed for error estimation in two-phase flow simulation using coarse-mesh CFD ...
arxiv  

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