Particle image velocimetry (PIV) analysis of flame structure

Otsuka, Teruhito; Wolański, P.

doi:10.1016/s0950-4230(01)00045-6

Cited by 10 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Researchers have employed PIV widely to measure a large variety of flows . For examples, Willert et al used PIV to investigate unsteady air velocity fields, Wernert et al for air flow characteristics around an airfoil, Miyazaki et al to measure particle motion in spiral gas‐solid two‐phase flow, Otsuka and Wolanski to analyse flame propagation in a flat duct, and Weitbrecht et al to conduct large‐scale measurements of the surface of shallow water flows.…”

Section: Methodsmentioning

confidence: 99%

3D electro-thermal modelling and experimental validation of lithium polymer-based batteries for automotive applications

Daud

Chrenko

Santos

et al. 2016

Int. J. Energy Res.

View full text Add to dashboard Cite

International audienceThis article presents an electro-thermal model of a stack of three lithium ion batteries for automotive applications. This tool can help to predict thermal behaviour of battery cells inside a stack. The open source software OpenFOAM provides the possibility to add heat generation because of Joule losses in a CFD model. Heat sources are introduced at the connectors and are calculated as a function of battery discharge current and internal resistance. The internal resistance is described in function of temperature. Simulation results are validated against experimental results with regard to cooling air flow field characteristic and thermal behaviour of the cell surface. The validation shows that the simulation is capable to anticipate air flow field characteristics inside the battery box. It also predicts correctly the thermal behaviour of the battery cells for various discharge rates and different cooling system conditions. The simulation supports the observation that batteries have a higher temperature close to the connectors and that the temperature increase depends highly on discharge rate and cooling system conditions. Copyright (C) 2016 John Wiley & Sons, Ltd

show abstract

Section: Methodsmentioning

confidence: 99%

3D electro-thermal modelling and experimental validation of lithium polymer-based batteries for automotive applications

Daud

Chrenko

Santos

et al. 2016

Int. J. Energy Res.

View full text Add to dashboard Cite

show abstract

“…The computational modeling of physical phenomena such as fire and smoke has received significant attention in computer graphics [1][2][3][4][5][6] as well as in other fields of experimental science [7][8][9][10][11][12][13]. While photographs provide a great deal of information about such phenomena, very little is known about how 3D models can be extracted from images.…”

Section: Introductionmentioning

confidence: 99%

“…Common approaches use lasers [12], complex optical systems [8], and thermography devices [7,9] to extract a fire's physical properties. The most closely related work involves the use of computerized tomography methods for flame reconstruction.…”

Section: Introductionmentioning

confidence: 99%