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Fundamentals of digital particle image velocimetry
Open accessAbstract
The measurement principle of digital particle image velocimetry (PIV) is described in terms of linear system theory. The conditions for PIV correlation analysis as a valid interrogation method are determined. Limitations of the method arise as consequences of the implementation. The theory is applied to investigate the statistical properties of the analysis and to optimize and improve the measurement performance. The theoretical results comply with results from Monte Carlo simulations and test measurements described in the literature. Examples of both correct and incorrect implementations are given.
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Cited by
A PIV Algorithm for Estimating Time-Averaged Velocity Fields
Meinhart, C. D., Wereley, S. T., & Santiago, J. G. (2000) · Journal of Fluids Engineering · doi:10.1115/1.483256 · Cited by 499
Uncertainty quantification in particle image velocimetry
Sciacchitano, A. (2019) · Measurement Science and Technology · doi:10.1088/1361-6501/ab1db8 · Cited by 268
Bitog, J. P. P., Lee, I.-B., Oh, H.-M., Hong, S.-W., Seo, I.-H., & Kwon, K.-S. (2014) · Biosystems Engineering · doi:10.1016/j.biosystemseng.2014.03.006 · Cited by 44
Metadata
- Authors
- Westerweel, J.
- Venue
- Measurement Science and Technology
- Publisher
- IOP Publishing
- Published
- 1997-12-01
- Volume
- 8
- Issue
- 12
- Pages
- 1379-1392
- ISSN
- 0957-0233 (ISSN-L)
- 1361-6501
- OpenAlex
- W2169150909
- Cited by
- 1,425
- References
- 0
- FWCI
- 12.63
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Westerweel, J. (1997). Fundamentals of digital particle image velocimetry. Measurement Science and Technology. https://doi.org/10.1088/0957-0233/8/12/002
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
