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JournalISSN: 1343-8875

Journal of Visualization 

Springer Science+Business Media
About: Journal of Visualization is an academic journal published by Springer Science+Business Media. The journal publishes majorly in the area(s): Vortex & Flow visualization. It has an ISSN identifier of 1343-8875. Over the lifetime, 1649 publications have been published receiving 23607 citations. The journal is also known as: Journal of visualization (Print).


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Journal ArticleDOI
TL;DR: In the present issue, Vol.
Abstract: In the present issue, Vol. 8 / No. 1 of the Journal of Visualization, seven technical papers are presented. In many of them, visualization plays key role for the analysis of fluid motions. The authors spread all over the world such as the countries, China, Hong-Kong, Denmark, Turkey, Korea, U. S. A., Jordan and Japan, which indicates JOV is becoming popular journal in the world. On behalf of the Editorial Board, the editors of the present issue acknowledge all the authors, referees and the people that contributed to the publication of this issue. Fluid Motions are nonlinear in their nature. As a result, very different features of fluid motions appear when key parameters are changed. The key parameters in fluid dynamics are, for instance, Reynolds number, Mach number, Prandtl number, and else. Key parameters also lie in body geometries and their configurations immersed in fluid motion. There is infinite choice of the parameters for the problem settings. There are many methods for the approach to research of fluid motion. Theoretical, experimental and computational methods are the basic three. Fortunately, new measurement techniques especially using visualized allow us to carry out experiments for any flow configuration. Same is true for computational techniques. Now, there is a lot of good software available and progressed computer performance allowed us to carry out sophisticated simulations using PC’s. Based on the flow parameters, geometry parameters and the method of approach, we may prepare any number of technical papers by changing the key parameters. It may be necessary to do so for good understanding of nonlinear nature of fluid motions. When looking at the papers in this issue, we notice that it actually happens. They handle compressible flows/incompressible flows. Their approaches are experimental/computational. Their applications are so wide. There is an old publication “Journal of the Aeronautical Research Institute, Tokyo Imperial University”. The “Aeronautical Research Institute” now is the Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (ISAS/JAXA) for which one of the editors of the present issue works. As a No. 65 of this old journal published in January 1930, there appeared the lecture given by Prof. L. Prandtl in October 1929. Within 23 pages of this journal (which would be only four or five pages of JOV), he explained all about boundary layer theory, flow instability, mixing-length (turbulence models) and effect of compressibility (Prandtl-Glauert law). As fluid motion is nonlinear and the research became so difficult, deep analysis in a very narrow research area is required and we, researchers have fallen into such narrow region of fluid dynamics. When I saw the paper by Prof. Prandlt, I felt that we may need to stop and think what we are doing and how we are contributing to the research field of “Fluid Dynamics” from the global viewpoint. Visualization is a very good tool not only to understand the details of fluid motion but also to understand key feature of fluid motion. With this tool, we may be able to make much higher contributions to Fluid Dynamics.

1,129 citations

Journal ArticleDOI
TL;DR: The papers presented in this issue encompass those on simple flow such as vortex and jet flows to those addressing complex flows, such as hypersonic flow and fluid-induced vibration and even fluid machinery and cardiopulmonary hemodynamics.
Abstract: It is our great pleasure to publish the Journal of Visualization Volume 9, Number 1 to a worldwide audience. In this issue, six frontispieces, twelve general papers including one short paper, and one report of the 8th ASV (Asian Symposium on Visualization) are presented. The papers presented in this issue encompass those on simple flow such as vortex and jet flows to those addressing complex flows, such as hypersonic flow and fluid-induced vibration and even fluid machinery and cardiopulmonary hemodynamics. Flow visualization techniques also vary greatly, and those such as Particle Image Velocimetry (PIV), Laser Doppler Velocimetry (LDV), color Schlieren method, Liquid Crystal Thermography (LCT) have recently become popular and are very interesting topics to readers. The last paper was written by Prof. Banterng Suwantragul, the chairman of the 8th Asian Symposium on Visualization that was held in Chiangmai, Thailand. The symposium was attended by more than 110 participants from 11 countries, and 71 technical papers covering a wide range of topics related to flow visualization techniques were presented. The symposium was a great success, and the next will be held in Hong Kong SAR, China from June 4 to 9, 2007. The papers published in this issue are testimony to the amazing range of visualization techniques being employed. Techniques such as PIV and Laser-Induced Fluorescence (LIF) are considered the leading players in the Journal of Visualization today, and several papers in this issue also deal with these techniques. Recently I had the opportunity to attend an international conference for turbomachinery and aircraft engines that was held in Europe, and to my surprise, many designers and researchers are still using “outdated” techniques such as the oil-film method, tuft method, and dye injection method. For some designers and researchers, the “latest” techniques may not be practical in terms of cost and ease of use. The Journal of Visualization is the only academic journal dedicated to flow visualization techniques, and it hopes to create an environment inclusive of techniques of the past and present. A thorough review of this issue offers a glimpse of visualization techniques of the future. Lastly, we would like to thank all contributing authors, reviewers, and individuals who were involved in the publication of this issue.

1,070 citations

Journal ArticleDOI
TL;DR: The first 6 papers are invited papers from The third Japan-Korean Joint Seminar on PIV at Fukuoka (2002-12), which deals with the recent developments in particle image velocimetry (PIV), laser-induced fluorescence and pressure sensitive paint (PSP).
Abstract: It is our great pleasure to publish the Journal of Visualization Volume 7 Number 1 to all of our reader in the world. This Journal aims at an interdisciplinary imaging science devoted to making the invisible visible through the techniques of experimental and computer-aided visualization. Recent development of flow visualization technique also contributes to the quantification of such invisible phenomenon in experimental field, that is the measurement of scientific physical properties of heat and fluid flows in engineering and scientific field. In the present issue of Journal of Visualization, we are happy to present some recent developments of experimental and computer-aided techniques. The first 6 papers are invited papers from The third Japan-Korean Joint Seminar on PIV at Fukuoka (2002-12), which deals with the recent developments in particle image velocimetry (PIV), laser-induced fluorescence (LIF) and pressure sensitive paint (PSP). These experimental technique allows the multi-points measurement of velocity, concentration and pressure in the field of interests and they are visualized in beautiful color pictures. The remaining 4 papers are researching into the unique engineering topic using the experimental and computer-aided flow visualization techniques, which allows deep insight into the invisible phenomenon of fluids and acoustic fields of interests. All of these articles contribute to the new development of visualization in engineering and scientific field in the world. We acknowledge all the authors, reviewers, and related people, who have made great efforts for publishing this issue possible.

675 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202332
202291
2021123
202086
201990
201880