Results 81 to 90 of about 174,040 (347)

MODELLING OF INFLUENCE OF TURBULENT TRANSITION ON HEAT TRANSFER CONDITIONS

TASK Quarterly, 2008
This article deals with the turbulent transition phenomenon modelling and its influence on heat transfer. The purpose of the analyses was to verify the transition modelling implemented in the ANSYS CFX 11 commercial code for popular test cases (low flow
KRZYSZTOF BOCHON, WŁODZIMIERZ WRÓBLEWSKI, SŁAWOMIR DYKAS   +2 more
doaj  

Study of the Influence of Turbulence Models on Hydrodynamic and Thermal Parameters of Heat Carriers in Calculations of Heat Exchangers

Қарағанды университетінің хабаршысы. Физика сериясы
In this paper, the heat exchange processes between a cold (oil) and a highly heated (water) heat carrier in a “tube-in-tube” type heat exchanger with a parallel flow scheme are studied using semi-empirical turbulence models: k-ω SST, k-ε, and Transition
A.S. Zhumanbayeva, N.Zh. Jaichibekov, D.Y. Kurmanova   +2 more
doaj   +1 more source

Multiscale Turbulence Models Based on Convected Fluid Microstructure

, 2012
The Euler-Poincar\'e approach to complex fluids is used to derive multiscale equations for computationally modelling Euler flows as a basis for modelling turbulence.
Holm, Darryl D., Tronci, Cesare
core   +1 more source

Two‐Photon Polymerized Microvascular Environments for Multicellular Modeling of the Blood–Brain Tumor Barrier

Advanced Materials Technologies, EarlyView.
Modeling the blood–brain tumor barrier is challenging due to complex interactions between brain microvasculature and glioma cells. We present two‐photon polymerized 3D micro‐porous capillary‐like structures that support endothelial alignment, cytoskeletal organization, and pericyte‐endothelial‐glioma tri‐cultures.
Nastaran Barin, Sayba Z. Chowdhury, Maurice de Wit, Rania Head, Kiki Bals, Erwin Brosens, Marvin M. van Luijn, Hayri E. Balcioglu, Angelo Accardo, Pim J. French   +9 more
wiley   +1 more source

Numerical Study of the Compressible Air Flow Through a Two-output Fluidic Oscillator [PDF]

Journal of Applied Fluid Mechanics
This paper investigates the dynamic internal flow structure, and its outlet jets, of the fluidic oscillator. The objective of this numerical study is to provide a better understanding of this type of jet for a research domain aimed at improving various ...
A. Lakehal, M. Aksouh, A. Medelfef
doaj   +1 more source

Collision‐Resilient Winged Drones Enabled by Tensegrity Structures

Advanced Robotics Research, EarlyView.
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui, Raphael Zufferey, William Stewart, Mohammad Askari, Simon Jeger, Dario Floreano   +5 more
wiley   +1 more source

Numerical Modelling of Non-isotropic Stratified Flows Using an Explicit Algebraic Reynolds Stress Turbulence Model (EARSM)

نشریه مهندسی دریا, 2015
Flows of natural hydro-environments are usually turbulent and mostly stratified, like the flows in lakes, reservoirs, estuaries and atmosphere to name a few. In stratified flows due to the buoyancy forces, the turbulent stresses are usually non-isotropic.
mohammadreza amiri, Kourosh hejazi
doaj  

Influence of a Modified Weir Profile on Velocity Field and Dissipation Rate in Stepped Spillways: A Comparative Study Using Physical Models and Computational Fluid Dynamics [PDF]

Journal of Applied Fluid Mechanics
Stepped spillways are specialized hydraulic structures crafted to optimize the effective dissipation of hydraulic energy along stepped chutes. The central objective is to scrutinize and improve the mitigation of flow separation occurring from the ogee ...
H. Souli, J. Ahattab, S. Bensallam
doaj   +1 more source

Generalized Mechanism Model for Ecosystem Hysteresis

Advanced Science, EarlyView.
A simplified model examines ecosystem transitions into alternative states after disturbances by leveraging positive and negative feedbacks. It identifies critical tipping points and quantifies hysteresis. Tests conducted on lakes, grasslands, and pitcher‐plant leaves align closely with empirical data and enable the prediction of recovery trajectories ...
Yanbin Hao, Xin Wang, Jie Liu, Mingzi Wu, Jianqing Du, Kai Xue, Xiaoning Song, Xiaoyong Cui, Tong Zhao, Yanfen Wang   +9 more
wiley   +1 more source

Turbulence model augmented physics informed neural networks for mean flow reconstruction [PDF]

, 2023
Yusuf Patel, Vincent Mons, Olivier Marquet, George Rigas   +3 more
openalex   +1 more source