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Optical coherence tomography based particle image velocimetry (OCT-PIV) of polymer flows.

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Title: Optical coherence tomography based particle image velocimetry (OCT-PIV) of polymer flows.
Authors: Buchsbaum, A1 andreas.buchsbaum@recendt.at, Egger, M1, Burzic, I2, Koepplmayr, T2,3, Aigner, M2, Miethlinger, J2, Leitner, M1
Source: Optics & Lasers in Engineering. Jun2015, Vol. 69, p40-48. 9p.
Subjects: Velocity measurements, Fluid dynamic measurements, Fluid velocity measurements, Cross-sectional imaging, Simulation methods & models
Abstract: The measurement of spatially resolved velocity distributions is crucial for modelling flow and for understanding properties of materials produced in extrusion processes. Traditional methods for flow visualization such as particle image velocimetry (PIV) rely on optically transparent media and cannot be applied to turbid polymer melts. Here we present optical coherence tomography as an imaging technique for PIV data processing that allows for measuring a sequence of time resolved images even in turbid media. Time-resolved OCT images of a glass-fibre polymer compound were acquired during an extrusion process in a slit die. The images are post-processed by ensemble cross-correlation to calculate spatially resolved velocity vector fields. The results compared well with velocity data obtained by Doppler-OCT. Overall, this new technique (OCT-PIV) represents an important extension of PIV to turbid materials by the use of OCT. [ABSTRACT FROM AUTHOR]
Copyright of Optics & Lasers in Engineering is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 101930455
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Optical coherence tomography based particle image velocimetry (OCT-PIV) of polymer flows.
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  Data: <searchLink fieldCode="DE" term="%22Velocity+measurements%22">Velocity measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Fluid+dynamic+measurements%22">Fluid dynamic measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Fluid+velocity+measurements%22">Fluid velocity measurements</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+imaging%22">Cross-sectional imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink>
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  Data: The measurement of spatially resolved velocity distributions is crucial for modelling flow and for understanding properties of materials produced in extrusion processes. Traditional methods for flow visualization such as particle image velocimetry (PIV) rely on optically transparent media and cannot be applied to turbid polymer melts. Here we present optical coherence tomography as an imaging technique for PIV data processing that allows for measuring a sequence of time resolved images even in turbid media. Time-resolved OCT images of a glass-fibre polymer compound were acquired during an extrusion process in a slit die. The images are post-processed by ensemble cross-correlation to calculate spatially resolved velocity vector fields. The results compared well with velocity data obtained by Doppler-OCT. Overall, this new technique (OCT-PIV) represents an important extension of PIV to turbid materials by the use of OCT. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Optics & Lasers in Engineering is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.optlaseng.2015.02.003
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        Text: English
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      – SubjectFull: Velocity measurements
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      – SubjectFull: Fluid dynamic measurements
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      – SubjectFull: Fluid velocity measurements
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      – SubjectFull: Cross-sectional imaging
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              Text: Jun2015
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