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

ISSN 印刷: 1065-3090
ISSN オンライン: 1940-4336

Journal of Flow Visualization and Image Processing

Editor-in-Chief: Krishnamurthy Muralidhar

Call for Papers for a Special Issue: Articles presented at the 7th International and 45th National Fluid Mechanics and Fluid Power Conference held at IIT Bombay, India, December 10-12, 2018 - Submission deadline: May 20, 2019


Guest Editors:
Atul Srivastava, IIT Bombay, India
Sridhar Balasubramanian, IIT Bombay, India
K. Muralidhar, IIT Kanpur, India

The above-referred conference is a part of a conference series that has been held uninterrupted for over three decades. Over the years, it has attracted wide participation covering a great spread of both fundamentals and applications in fluid mechanics, as well as transport phenomena. This year, around 650 papers were presented in parallel sessions over three days.

With rapid advancements in imaging instrumentation for fluid flow and the capability of simulating three-dimensional flow configurations, these subjects are increasingly being represented in conference proceedings. Specifically, quite a few articles have dealt with flow imaging from experiments, as well as careful visualization and interpretation of simulation data.

The editors of the special issue attended the oral presentations of articles relevant to the Journal of Flow Visualization and Image Processing and short-listed those of contemporary relevance as well as importance. Only those articles that were orally presented in the conference are being considered for the special issue.

Authors of these conference articles are being individually invited to submit full-length manuscripts to the journal via the call for a special issue. The email invitation contains details such as the page limit of the manuscript and the deadlines. All submitted manuscripts will undergo an anonymous review process that will be conducted by the editors of the special issue.

Articles should be submitted through the Begell House Submission System. Begell House Submission System.

When submitted, choose "Submit to special issue." On the drop-down list on the following page, select the issue titled "Special Issue: 7th International and 45th National Fluid Mechanics and Fluid Power Conference."

Other contributing authors can continue to submit articles through the main journal portal as usual.

It is expected that the special issue will be of great interest to the readership of the journal.

Author's instructions for the Journal of Flow Visualization and Image Processing can be found here Instruction.pdf.

To contact Editor-in-Chief K. Muralidhar with any questions, email kmurli@iitk.ac.in.

目的と範囲

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, including AI, 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.