Simultaneous sensing of fluid velocity and temperature using particle tracers embedding nitrobenzofurazan functionalized thermosensitive hydrogels

Filippo Cellini, Sean D. Peterson, Maurizio Porfiri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Particle image velocimetry is an experimental technique for measuring the velocity field of a moving fluid by tracking small particles dispersed within the flow. To extend this technique to the study of fluid temperature, we propose a novel tracer particle which enables direct measurement of the velocity, while acting as a temperature sensor by increasing its fluorescence intensity when the local fluid temperature rises above 32°C. Thermoresponsive tracers are prepared by incorporating nitrobenzofurazan functionalized hydrogels within optically transparent polydimethylsiloxane microspheres. We demonstrate the application of the tracers in the study of forced thermal convection in water around a heated cylinder in an open channel.

Original languageEnglish (US)
Title of host publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017
PublisherSPIE
Volume10168
ISBN (Electronic)9781510608214
DOIs
StatePublished - 2017
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017 - Portland, United States
Duration: Mar 26 2017Mar 29 2017

Other

OtherSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017
CountryUnited States
CityPortland
Period3/26/173/29/17

Fingerprint

Hydrogel
Hydrogels
embedding
Particles (particulate matter)
tracers
Sensing
Fluid
Fluids
fluids
Open Channel
Thermal Convection
Forced Convection
Microspheres
Temperature Sensor
forced convection
temperature sensors
Temperature sensors
Polydimethylsiloxane
particle image velocimetry
free convection

Keywords

  • Fluorescent material
  • Particle image velocimetry
  • Temperature sensing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Cellini, F., Peterson, S. D., & Porfiri, M. (2017). Simultaneous sensing of fluid velocity and temperature using particle tracers embedding nitrobenzofurazan functionalized thermosensitive hydrogels. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017 (Vol. 10168). [1016816] SPIE. https://doi.org/10.1117/12.2257362

Simultaneous sensing of fluid velocity and temperature using particle tracers embedding nitrobenzofurazan functionalized thermosensitive hydrogels. / Cellini, Filippo; Peterson, Sean D.; Porfiri, Maurizio.

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017. Vol. 10168 SPIE, 2017. 1016816.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cellini, F, Peterson, SD & Porfiri, M 2017, Simultaneous sensing of fluid velocity and temperature using particle tracers embedding nitrobenzofurazan functionalized thermosensitive hydrogels. in Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017. vol. 10168, 1016816, SPIE, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, Portland, United States, 3/26/17. https://doi.org/10.1117/12.2257362
Cellini F, Peterson SD, Porfiri M. Simultaneous sensing of fluid velocity and temperature using particle tracers embedding nitrobenzofurazan functionalized thermosensitive hydrogels. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017. Vol. 10168. SPIE. 2017. 1016816 https://doi.org/10.1117/12.2257362
Cellini, Filippo ; Peterson, Sean D. ; Porfiri, Maurizio. / Simultaneous sensing of fluid velocity and temperature using particle tracers embedding nitrobenzofurazan functionalized thermosensitive hydrogels. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017. Vol. 10168 SPIE, 2017.
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