Photonics-Enhanced Image-Detection Sensing of Multiphase Flows

  • Sergio L. Carrasco-OrtizEmail author
  • Eduardo Valero
  • Maria Morant
  • Roberto Llorente
Part of the Springer Series in Optical Sciences book series (SSOS, volume 223)


This chapter describes a photonic sensor system based on laser excitation and CMOS array image capture altogether advanced digital signal processing algorithms. The photonic sensor targets the detection and characterization of cavitation bubbles in multiphase water flows. This sensor finds application in areas where a multiphase water flow is produced, by example bubbling water column reactors, turbine impellers, marine screw and pump-jet propellers where cavitation can be produced, and water-air mixing volumes in dam intakes and spillways in hydroelectric energy generation plants. The photonic sensor comprises an image capture CMOS array with a polymeric tunable optical lens which digitises an area illuminated by a laser diode operating at wavelength 532 nm. This approach permits high-contrast acquisition independent of external lighting conditions. Ad hoc signal processing algorithms are applied on the digitised image in order to evaluate the statistical distribution of bubble size, shape, speed and concentration inside the multiphase flow. Experimental demonstration of the developed sensor indicates its proper operation, being capable of a complete statistical bubble characterization in a water column at 0.01 and 0.05 MPa pressure levels. The performance of different computational methods, including Optical Flow, SIFT and SURF, has been also evaluated in the experimental work for comparison of the underlying image processing algorithms.



This work was supported in part by Spain National Plan MINECO/FEDER UE RTC-2014-2232-3 HIDRASENSE and TEC2015-70858-C2-1-R XCORE projects. BIOFRACTIVE project with IIS La Fe is also acknowledged. Sergio L. Carrasco-Ortiz work was supported by UPV predoc FPI-UPV-2017 program. Maria Morant work was partly supported by Spain Juan de la Cierva IJCI-2016-27578 grant.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sergio L. Carrasco-Ortiz
    • 1
    Email author
  • Eduardo Valero
    • 1
  • Maria Morant
    • 1
  • Roberto Llorente
    • 1
  1. 1.Nanophotonics Technology Center, Universitat Politècnica de ValènciaValenciaSpain

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