Research Article

Experiments in Fluids

, Volume 48, Issue 1, pp 111-119

Processing of individual rainbow signals

  • Sawitree SaengkaewAffiliated withFaculty of Engineering, Centre of Excellence in Particle Technology, Chulalongkorn UniversityUMR 6614/CORIA, CNRS/Université et INSA de Rouen
  • , Tawatchai CharinpanikulAffiliated withFaculty of Engineering, Centre of Excellence in Particle Technology, Chulalongkorn University
  • , Claire LaurentAffiliated withONERA/DMAE 02
  • , Yves BiscosAffiliated withONERA/DMAE 02
  • , Gérard LavergneAffiliated withONERA/DMAE 02
  • , Gérard GouesbetAffiliated withUMR 6614/CORIA, CNRS/Université et INSA de Rouen
  • , Gérard GréhanAffiliated withUMR 6614/CORIA, CNRS/Université et INSA de Rouen Email author 

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Abstract

The characterization of droplets under evaporation is still a challenge, especially to evaluate the droplet temperature. A promising technique is rainbow refractometry, which determines instantaneously the refractive index (temperature) and size of fuel droplets by characterizing the light distribution around the rainbow angle. As for other techniques, recorded signals must be efficiently processed to extract relevant information. This paper is devoted to the description of a new powerful processing strategy including the ripple structure which permits to increase the measurement accuracy. The algorithm has also been successfully applied to experimental rainbow signals recorded at ONERA-Toulouse with a special attention devoted to the measurement of ethanol droplets.