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.
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Acknowledgments
University-Industry Collaborative Research Fund of Chulalongkorn University for CEPT is gratefully acknowledged. Partial support from European Community programs Interreg III “The intelligent engine II” and the “MUSCLES G4RD-CT-2002-00644” programs are also acknowledged. S.S. is partially supported by the French Ministère de la Recherche et aux Nouvelles Technologies in the framework of “co-tutelle de thèse” and the Royal Golden Jubilee Scholarship of Thailand Research Fund. T.C, and H.V gratefully acknowledge partial support from TFR-RTA grant for Prof. W Tanthapanichakoon. S.S. has been also supported by a post-doctoral grant from CNRS in the framework of the CNRS/ONERA program ASTRA.
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Saengkaew, S., Charinpanikul, T., Laurent, C. et al. Processing of individual rainbow signals. Exp Fluids 48, 111–119 (2010). https://doi.org/10.1007/s00348-009-0717-3
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DOI: https://doi.org/10.1007/s00348-009-0717-3