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An automated method for analysis and visualization of laser Doppler velocimetry data
T M Healy1, J T Ellis, A A Fontaine
1Cardiovascular Fluid Mechanics Laboratory, School of Chemical Engineering, Georgia Institute of Technology, Atlanta 30332-0100, USA.
Annals of Biomedical Engineering
|March 1, 1997
Summary
Researchers developed an automated procedure to analyze and visualize complex flow fields using laser Doppler velocimetry (LDV) data. This method enhances the study of fluid dynamics and medical device performance.
Area of Science:
- Fluid dynamics
- Biomedical engineering
- Data visualization
Background:
- Analyzing large datasets from laser Doppler velocimetry (LDV) for complex flow fields is challenging.
- Investigating intricate flow patterns requires advanced data processing and visualization techniques.
Purpose of the Study:
- To present an automated procedure for the analysis and animation of 2D and 3D LDV data.
- To facilitate the detailed examination of complex fluid flow characteristics.
Main Methods:
- Developed a suite of FORTRAN programs for automated data analysis.
- Implemented calculations for phase window averages of velocity and the Reynolds stress tensor.
- Generated data files compatible with Plot-3D visualization software.
Main Results:
- Successfully automated the analysis and animation of LDV data.
- Enabled calculation of principal normal stresses and maximum shear stresses.
- Demonstrated application to in vitro retrograde flow in a bileaflet mechanical heart valve.
Conclusions:
- The automated procedure effectively addresses challenges in LDV data analysis and visualization.
- This technique provides a robust method for studying complex flow fields, including biomedical applications.
- The developed tools enhance research capabilities in fluid dynamics and biomechanics.