Biospeckle PIV (Particle Image Velocimetry) for analyzing fluid flow

Soares, Rodrigo; Barbosa, Henrique Coelho; Braga, Roberto A.; Botega, J. V. L.; Horgan, Graham

doi:10.1016/j.flowmeasinst.2013.01.008

Cited by 17 publications

(4 citation statements)

References 21 publications

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“…We captured the images using a chargecoupled device (CCD) camera, processing them through the PIV technique (Soares et al, 2013). We processed the images ( Figure 2) by comparison in sequence (1 with 2, 2 with 3, 3 with 4, etc.).…”

Section: Methodsmentioning

confidence: 99%

Thermocapillary Monitoring Using Particle Image Velocimetry Associated With Dynamic Laser Speckle

Contado

Braga²,

Barbosa³

et al. 2020

Theor Appl Eng

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Thermocapillarity is a physical phenomenon used in many industrial processes, mainly in the field of miniaturization. Thermocapillary forces are the base of thermocapillary pumping (TCP), in which a drop of liquid moves through a microchannel or flat surface after temperature gradient occurs. The objective of this work was to study the thermocapillary convection during pumping without inserting external particles, monitored by the Particle Image Velocimetry (PIV) technique. The experiment consisted of a Pasteur tube containing a yellow fluorescein solution (0.02, 0.04, 0.06, 0.08, and 0.1 Molar), illuminated by a laser beam of 545 nm, 40 mW. After 2 minutes of illumination, the thermocapillary movement occurred at a distance of 0.05 mm below the meniscus when using a laser beam of 545 nm, 3 mW. The images were captured by a charge-coupled device (CCD) camera and processed using the PIV technique. The results showed an internal conversion capacity between the intersystem crossing, vibrational, and relaxation phenomena, also demonstrating the potential for applying the proposed approach. The images presented velocity distribution caused by thermocapillarity. The PIV was a useful tool for convective flow analysis if connected to appropriate image processing and enhancement techniques. In conclusion, the research showed the images with velocity distribution caused by thermocapillarity.

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Section: Methodsmentioning

confidence: 99%

Thermocapillary Monitoring Using Particle Image Velocimetry Associated With Dynamic Laser Speckle

Contado

Braga²,

Barbosa³

et al. 2020

Theor Appl Eng

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“…The calculation of leaf vein density using spectral activity maps has been obtained by Ansari and Nirala [9]. Soares et al observed the process of internal micro flow in case of a coffee tree leaf just after its removal from the plant [10].…”

Section: Introductionmentioning

confidence: 99%

Visual biospeckle analysis of just torn plant leaf using frequency filtering

Koley¹,

Nirala²

2022

Laser Phys.

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Biospeckle activity in leaves arise due to the contribution of several phenomena like water content, respiration, transpiration etc. Our present research work deals with the biospeckle activity of a plant leaf using the laser biospeckle technique and wavelet transform just after removal from the plant, to isolate physiological activities like respiration, transpiration etc over water activity for the first time to the best of our knowledge. Visual analyses of biospeckle activities of Mangifera indica and Tabernaemontana divaricata leaves have been done with the help of spectral activity maps obtained using fujii and parameterized geometrical mean of temporal difference algorithms. Mid-vein and other veins are mainly responsible for water transportation whereas different physiological activities occur in both veins and lamina parts of the leaf. As the biospeckle activity due to high water content suppresses the activity due to other physiological phenomena of the leaf, the spectral activity map without any frequency filtering shows the higher activity of the mid-vein than that of the lamina part of the leaf. It has already been established by researchers that the exclusion of lower frequency bands represents physiological activities of biological samples. Spectral activity maps considering the individual frequency bands starting from 13 and 12 onwards in the case of M. indica and T. divaricata leaves are able to represent the physiological phenomena of the leaves respectively. In comparison to the results obtained considering the individual frequency bands, the results obtained by removing the frequency band groups 1–12 (6.25–3.25 Hz frequency range) for M. indica leaf and 1–11 (6.25–3.50 Hz frequency range) for T. divaricata leaf clearly represent the physiological activities over the water activity of those leaves respectively. Also, biospeckle activities using the individual frequency bands along with the exclusion of band groups 13–25 (3.25–0.00 Hz frequency range) and 12–25 (3.50–0.00 Hz frequency range) represent the water activity of the above two leaves respectively.

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“…Among the methods for contactless measurement tests, ultrasound and x-ray are used to validate the results obtained from destructive tests which are used for modeling techniques in the structures behavior simulation. Apart from these already established methods, the Particle Image velocimetry (PIV) technique, initially adopted as a displacement study method of fluid particles (Soares, 2013), is currently being used in the study of solid materials (Petersson, 2010;Souza, 2014). This technique is based on pairwise image correlation obtained from Equation 1.…”

Section: Introductionmentioning

confidence: 99%

The Use of Particle Image Velocimetry for Displacement Measurements in Steel Columns Subjected to Buckling

Rodrigues

Gomes²,

Braga³

et al. 2018

Theor Appl Eng

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Displacements in structural columns have many challenges regarding to monitoring since it is a complex phenomenon. The monitoring of steel column subjected to buckling is one challenge in order to identify its structural behavior based on displacement measurements. In some cases, this effect is studied under steel rectangular column subjected to axial compressive loads. It is necessary in order to quantify the horizontal column deformation by using optical techniques based on displacements from images to evaluate its structural behavior. This paper is aimed to apply the Particle Image Velocimetry (PIV) technique as a robust and cheap optical method on buckling study of columns as a contactless measurement technique compared to Finite Element Method (FEM). Experiments using rectangular bar samples were used to evaluate the behavior of columns under axial compressive load causing the buckling effect. In order to quantify displacements, PIV technique was applied based on pre-defined positions of the points in the images and the column displacements were measured and compared to FEM. Results indicated displacements difference around 1.08% between PIV and FEM, providing that PIV technique can be used to quantify column displacements in a plane when compared to FEM results. This allows PIV applications for any structures monitoring such as building, bridges and silos.

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Biospeckle PIV (Particle Image Velocimetry) for analyzing fluid flow

Cited by 17 publications

References 21 publications

Thermocapillary Monitoring Using Particle Image Velocimetry Associated With Dynamic Laser Speckle

Thermocapillary Monitoring Using Particle Image Velocimetry Associated With Dynamic Laser Speckle

Visual biospeckle analysis of just torn plant leaf using frequency filtering

The Use of Particle Image Velocimetry for Displacement Measurements in Steel Columns Subjected to Buckling

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