Micro-flow analysis by molecular tagging velocimetry and planar Raman-scattering

Roetmann, Karsten; Schmunk, Waldemar; Garbe, Christoph S.; Beushausen, Volker

doi:10.1007/s00348-007-0420-1

Cited by 25 publications

(14 citation statements)

References 36 publications

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“…Using this technique, Roetmann, et al (2008) realized a non-intrusive and planar concentration measurement in a micro-mixer. In contrast to Raman spectroscopic approach which uses a tightly-focused laser beam and a spectrometer, Raman imaging employs wide-field sample illumination by an unfocused laser light and the scattered light is imaged onto a two-dimensional CCD detector through optical filters.…”

Section: Introductionmentioning

confidence: 99%

An investigation of measurement condition for non-intrusive velocity determination based on thermal tracing by Raman imaging

Kuriyama

Sato

2014

JTST

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The present study proposes a velocity measurement based on thermal tracing by Raman imaging and investigates its applicability focusing on the error in temperature measurement, towards the establishment of a non-intrusive and micro-scale velocimetry. In order to realize fluorescence-free measurement, two-wavelength Raman imaging was employed to measure the temperature field in a channel flow. This technique exploits the contrasting temperature dependencies of hydrogen-bonded (HB) and non-hydrogen-bonded (NHB) OH stretching Raman bands of liquid water, and enables the determination of planar temperature distributions from the intensity ratio of the HB to NHB images. A calibration experiment showed a linear relationship between the temperature and the Raman intensity ratio in the range 293−333 K with temperature sensitivity of −0.56% K -1 .It was also confirmed that the spatial variation of the intensity ratio led to a large measurement error (approximately 9.1 K). Afterwards Raman images were acquired with various measurement conditions, and the influence of each parameter on the measurement error was quantitatively investigated. The apparent temperature variance was considerably reduced by increasing electron-multiplying gain and binning factor for spatial averaging, whereas an increase in the size of the measurement area resulted in a quadratic increase in the temperature variance due to the inhomogeneous excitation intensity. Finally, the requirements of the thermal flow conditions for the present methodology to be applied were quantitatively examined according to the measurement results.

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Section: Introductionmentioning

confidence: 99%

An investigation of measurement condition for non-intrusive velocity determination based on thermal tracing by Raman imaging

Kuriyama

Sato

2014

JTST

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“…SERS gives a much more intense Raman intensity than spontaneous Raman spectroscopy; however, nanoparticles that enhance the scattering intensity act as contaminants. Roetmann et al (13) measured the concentration distribution of ethanol and water in a micromixer using planar spontaneous Raman scattering. They visualized ethanol motion with a temporal resolution of 1 s; however, they did not determine the absolute ethanol concentration and velocity.…”

Section: Introductionmentioning

confidence: 99%

Non-Intrusive Velocity Measurement of Millichannel Flow by Spontaneous Raman Imaging

Takahashi

Furukawa

Sato

et al. 2012

JTST

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A non-intrusive measurement technique based on spontaneous Raman imaging was proposed for investigating microscale flow structures. It has the advantage that it does not require tracer particles or fluorescent dye to measure fluid velocity and scalar quantities. Raman scattering from ions in solution is substance specific and is observed as Raman spectra that contain peaks due to molecular species. The spontaneous Raman intensity from an electrolyte solution strongly depends on the electrolyte concentration. Thus, a bandpass filter attached to an EM-CCD camera detects only the strong Raman scattering at the selected Raman shift. The spontaneous Raman image obtained was converted to an electrolyte concentration distribution by using a calibration curve that expressed the relationship between the Raman intensity and the concentration. The flow velocity in a millichannel was calculated from the peak-value displacement of the time-series concentration distribution.

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“…Section 3.1). To test the performance on microfluidic flows, a spatially homogeneous flow was set up in a microfluidic chamber [20]. Ground truth was derived from accurate measurements of the water flow through the chamber and by using Fig.…”

Section: Molecular Tagging Velocimetrymentioning

confidence: 99%

Spatiotemporal Image Analysis for Fluid Flow Measurements

Garbe

Kondermann

Jehle

et al. 2009

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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Abstract. In this chapter, a framework will be presented for measuring and modeling transport processes using novel visualization techniques and extended optical flow techniques for digital image sequence analysis. In this way, parameters besides the 2-D xy velocity components can be extracted concurrently from the acquired 2-D image sequences, such as wall shear rates and momentum transport close to boundaries, diffusion coefficients, and depth z in addition to the z velocity components. Depending on the application, particularly the temporal regularization can be enhanced, leading to stabilization of results and reduction of spatial regularization. This is frequently of high importance for flows close to boundaries. Results from applications will be presented from the fields of environmental and life sciences as well as from engineering.

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Micro-flow analysis by molecular tagging velocimetry and planar Raman-scattering

Cited by 25 publications

References 36 publications

An investigation of measurement condition for non-intrusive velocity determination based on thermal tracing by Raman imaging

An investigation of measurement condition for non-intrusive velocity determination based on thermal tracing by Raman imaging

Non-Intrusive Velocity Measurement of Millichannel Flow by Spontaneous Raman Imaging

Spatiotemporal Image Analysis for Fluid Flow Measurements

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