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Journal of Flow Visualization and Image Processing
SJR: 0.11 SNIP: 0.312 CiteScore™: 0.1

ISSN Imprimer: 1065-3090
ISSN En ligne: 1940-4336

Volume 25, 2018

Volume 24, 2017

Volume 23, 2016

Volume 22, 2015

Volume 21, 2014

Volume 20, 2013

Volume 19, 2012

Volume 18, 2011

Volume 17, 2010

Volume 16, 2009

Volume 15, 2008

Volume 14, 2007

Volume 13, 2006

Volume 12, 2005

Volume 11, 2004

Volume 10, 2003

Volume 9, 2002

Volume 8, 2001

Volume 7, 2000

Volume 6, 1999

Volume 5, 1998

Volume 4, 1997

Volume 3, 1996

Volume 2, 1995

Volume 1, 1993

Numéro 1

Numéro 3

Numéro 4

Journal of Flow Visualization and Image Processing

Editor-in-Chief: Krishnamurthy Muralidhar

Objectifs et champs d'application

The Journal of Flow Visualization and Image Processing is a quarterly refereed research journal that publishes original papers to disseminate and exchange knowledge and information on the principles and applications of flow visualization techniques and related image processing algorithms.
 Flow visualization and quantification have emerged as powerful tools in velocity, pressure, temperature and species concentration measurements, combustion diagnostics, and process monitoring related to physical, biomedical, and engineering sciences. Measurements were initially based on lasers but have expanded to include a wider electromagnetic spectrum. Numerical simulation is a second source of data amenable to image analysis. Direct visualization in the form of high speed, high resolution imaging supplements optical measurements. A combination of flow visualization and image processing holds promise to breach the holy grail of extracting instantaneous three dimensional data in transport phenomena.
 Optical methods can be enlarged to cover a wide range of measurements, first by factoring in the applicable physical laws and next, by including the principle of image formation itself. These steps help in utilizing incomplete data and imperfect visualization for reconstructing a complete scenario of the transport process.
 Many applications involve gas-liquid interfaces that move in time and over a solid surface. Locating such boundaries from image sequences is an important step that can provide considerable insight. Flow visualization data can also be the starting point of inversion algorithms for retrieval of material properties and boundary conditions such as wall heat fluxes and shear stresses.
 Images acquired in an experiment or from simulation contain a wealth of data and on multiple scales. Useful information can then be extracted using statistical and image processing tools. New developments such as tomographic reconstruction, digital correlation technique, and data mining algorithms are quite appropriate for interpreting flow visualization data.
 The journal will promote academic and industrial advancement and improvement of flow imaging techniques internationally. It seeks to convey practical information in this field covering all areas in science, technology, and medicine for engineers, scientists, and researchers in industry, academia, and government.

La plupart des articles téléchargés

A REVIEW ON DIGITAL PTV MEASUREMENTS OF A SEPARATED AIR FLOW BEHIND A BACKWARD-FACING STEP
Toshiaki Adachi, Koichi Nishino, Kahoru Torii

SCIENTIFICVR® VISUALIZATION PACKAGE FOR APPLICATION PROBLEMS
Alexey Zibarov

IMAGE ANALYSIS OF INTERNAL FLOW IN GROOVED-CHANNEL HEAT TRANSPORT DEVICE WITH PHASE CHANGE
Kazusa Abiko, Akira Murata, Hiroshi Saito, Kaoru Iwamoto

TRANSIENT LIQUID CRYSTAL TECHNIQUE FOR IMPINGING HEAT TRANSFER OF INLINE AND STAGGERED JET ARRAYS
W. M. Yan, H. C. Liu, Chyi-Yeou Soong, Wen-Jei Yang

VISUALIZATION OF THE EVAPORATION AND CONDENSATION PHENOMENA IN CRYOGENIC PROPELLANTS
Kishan Bellur, Vinaykumar Konduru, Ezequiel F. Medici, Daniel S. Hussey, David L. Jacobson, Jacob M. LaManna, Jeffrey S. Allen, Chang Kyoung Choi

LARGE BODY AIRCRAFT CABIN A/C FLOW MEASUREMENT BY HELIUM BUBBLE TRACKING
R. H. G. Muller, Th. Scherer, Th. Rotger, O. Schaumann, M. Markwart