A simple single camera 3C3D velocity measurement technique without errors due to depth of correlation and spatial averaging for microfluidics
By Christian Cierpka, Rodrigo Segura, R. Hain, Christian J. Kähler. 2010
183 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computational Mechanics, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/bca7e229fb446638f91a277bd8f6a98228944de2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Computational Mechanics
- Christian Cierpka
- Sven Scharnowski
- Christian J. Kähler
- B. Lütke
- Andreas Schröder
- D. Schanz
- S. Gesemann
- Fulvio Scarano
In Mechanics of Materials
Citations in the corpus
- On the resolution limit of digital particle image velocimetry (2012, methodology): “For the investigation here, a wavelet-based algorithm was used (Cierpka et al. 2010), since this algorithm works much faster than a Gaussian fit and gives reliable results in a wide range of particle image sizes.”
- Higher order multi-frame particle tracking velocimetry (2013, background): “In general, such predictors can be based on theoretically known velocity distributions or experimentally obtained PIV evaluations (Cardwell et al. 2011; Cowen and Monismith 1997; Keane et al. 1995; Takehara et al. 2000).”
- On the uncertainty of digital PIV and PTV near walls (2012, background): “A Mexican hat function performed particularly well for microfluidic investigations (Cierpka et al. 2010).”
- Particle imaging techniques for volumetric three-component (3D3C) velocity measurements in microfluidics (2011, background): “Cierpka et al (2010) investigated the laminar flow in a channel with a square cross section of 500 9 500 lm2 at Re = 23.”