Flow Visualization: Experiments and Techniques
A special issue of Fluids (ISSN 2311-5521). This special issue belongs to the section "Mathematical and Computational Fluid Mechanics".
Deadline for manuscript submissions: closed (9 September 2024) | Viewed by 15332
Special Issue Editors
Interests: two-phase structure and dynamics of cavitation; flow visualization; particle image velocimetry (PIV); numerical simulation of turbulent cavitating flow
Special Issues, Collections and Topics in MDPI journals
Interests: experimental fluid mechanics, cavitation and multiphase flow; aI for fluids; numerical simulation
Special Issues, Collections and Topics in MDPI journals
Interests: turbulence modeling; data assimilation; machine learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Flow visualization is a technique used to observe and analyze the patterns and characteristics of fluid flow. It is a valuable tool in fluid mechanics research and engineering applications, as it allows researchers to gain insights into the behavior of fluids and identify various flow phenomena.
Flow visualization methods can be broadly categorized into two types:
- Direct flow visualization: involves directly observing the flow using techniques such as dye injection, particle tracking, or smoke visualization;
- Indirect flow visualization: involves using instruments and sensors to measure flow properties such as pressure, velocity, and temperature. These data are then processed to visualize the flow patterns and characteristics.
This Special Issue aims to gather recent advancements in the field of flow visualization techniques and present new findings in fluid mechanics using flow visualization techniques.
Suggested topics include, but are not limited to:
- Multiphase flow measurement and instrumentation;
- PIV/MicroPIV/Tomo-PIV/LIF-PIV techniques;
- High-speed photography;
- Experimental fluid mechanics;
- Measurements of a two-phase structure and dynamics of cavitation;
- Traditional and synchrotron X-ray imaging;
- Pressure-sensitive paint (PSP) technique;
- Multi-sensor data fusion;
- Pressure field reconstruction;
- AI techniques applied in experimental fluid mechanics.
We look forward to receiving your contributions, and hope this Special Issue will provide a platform for researchers to share their work and exchange knowledge and ideas.
Dr. Guangjian Zhang
Dr. Mingming Ge
Dr. Xin-Lei Zhang
Guest Editors
Manuscript Submission Information
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Keywords
- flow visualization
- multiphase flow
- cavitation
- high-speed photography
- PIV
- X-ray imaging
- pressure field reconstruction
- data assimilation
- machine learning
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