PIV/BOS synthetic image generation in variable density environments for error analysis and experiment design
Abstract
In this work, we present an image generation methodology based on ray tracing that can be used to render realistic images of Particle Image Velocimetry (PIV) and Background Oriented Schlieren (BOS) experiments in the presence of density/refractive index gradients. This methodology enables the simulation of aero-thermodynamics experiments for experiment design, error, and uncertainty analysis. Images are generated by emanating light rays from the particles or dot pattern, and propagating them through the density gradient field and the optical elements, up to the camera sensor. The rendered images are realistic, and can replicate the features of a given experimental setup, like optical aberrations and perspective effects, which can be deliberately introduced for error analysis. We demonstrate this methodology by simulating a BOS experiment with a known density field obtained from direct numerical simulations (DNS) of homogeneous buoyancy driven turbulence, and comparing the light ray displacements from ray tracing to results from BOS theory. The light ray displacements show good agreement with the reference data. This methodology provides a framework for further development of simulation tools for use in experiment design and development of image analysis tools for PIV and BOS applications. Finally, an implementation of the proposed methodology in a Python-CUDAmore »
- Authors:
-
- Purdue Univ., West Lafayette, IN (United States)
- Publication Date:
- Research Org.:
- Purdue Univ., West Lafayette, IN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Fusion Energy Sciences (FES)
- OSTI Identifier:
- 1598798
- Grant/Contract Number:
- SC0018156
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Measurement Science and Technology
- Additional Journal Information:
- Journal Volume: 30; Journal Issue: 8; Journal ID: ISSN 0957-0233
- Publisher:
- IOP Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION
Citation Formats
Rajendran, Lalit K., Bane, Sally P. M., and Vlachos, Pavlos P. PIV/BOS synthetic image generation in variable density environments for error analysis and experiment design. United States: N. p., 2019.
Web. doi:10.1088/1361-6501/ab1ca8.
Rajendran, Lalit K., Bane, Sally P. M., & Vlachos, Pavlos P. PIV/BOS synthetic image generation in variable density environments for error analysis and experiment design. United States. https://doi.org/10.1088/1361-6501/ab1ca8
Rajendran, Lalit K., Bane, Sally P. M., and Vlachos, Pavlos P. Thu .
"PIV/BOS synthetic image generation in variable density environments for error analysis and experiment design". United States. https://doi.org/10.1088/1361-6501/ab1ca8. https://www.osti.gov/servlets/purl/1598798.
@article{osti_1598798,
title = {PIV/BOS synthetic image generation in variable density environments for error analysis and experiment design},
author = {Rajendran, Lalit K. and Bane, Sally P. M. and Vlachos, Pavlos P.},
abstractNote = {In this work, we present an image generation methodology based on ray tracing that can be used to render realistic images of Particle Image Velocimetry (PIV) and Background Oriented Schlieren (BOS) experiments in the presence of density/refractive index gradients. This methodology enables the simulation of aero-thermodynamics experiments for experiment design, error, and uncertainty analysis. Images are generated by emanating light rays from the particles or dot pattern, and propagating them through the density gradient field and the optical elements, up to the camera sensor. The rendered images are realistic, and can replicate the features of a given experimental setup, like optical aberrations and perspective effects, which can be deliberately introduced for error analysis. We demonstrate this methodology by simulating a BOS experiment with a known density field obtained from direct numerical simulations (DNS) of homogeneous buoyancy driven turbulence, and comparing the light ray displacements from ray tracing to results from BOS theory. The light ray displacements show good agreement with the reference data. This methodology provides a framework for further development of simulation tools for use in experiment design and development of image analysis tools for PIV and BOS applications. Finally, an implementation of the proposed methodology in a Python-CUDA program is made available as an open source software for researchers.},
doi = {10.1088/1361-6501/ab1ca8},
journal = {Measurement Science and Technology},
number = 8,
volume = 30,
place = {United States},
year = {Thu Apr 25 00:00:00 EDT 2019},
month = {Thu Apr 25 00:00:00 EDT 2019}
}
Web of Science
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