Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Morphology-dependent resonances in laser-induced fluorescence images of micrometric gasoline/ethanol droplets utilizing the dye nile red

Not Accessible

Your library or personal account may give you access

Abstract

The present study deals with the solvent-dependent morphology-dependent resonances (MDR) in the laser-induced fluorescence (LIF) signal of monodisperse gasoline droplets (30 µm–60 µm) generated with a droplet generator. To investigate the influence of an ethanol addition to gasoline and the respective LIF signal of the dye nile red dissolved in these fuel blends, a reference gasoline fuel is blended with various ethanol concentrations from E0 (gasoline) to E100 (pure ethanol). A spectral fluorescence characterization of the investigated fuel mixtures at various concentrations is carried out in a micro cell in order to identify the dye and ethanol concentration influence of the respective fuel mixtures. The absorption and emission spectra of the fuel mixtures show a Stokes shift with increasing ethanol concentration towards larger wavelengths. The coefficient of variation (COV) of the fluorescence signals of spherical droplets was utilized to characterize the MDR effects within the droplet LIF images. The investigations revealed an increase of MDR contribution in terms of the COV of LIF signals with larger droplet diameters. For small droplets, no monotonic trend was found for contribution of MDR in the LIF signal as a function of the ethanol concentration. For larger droplets (e.g., 50 µm–60 µm), a lower contribution of MDR in LIF signals was observed with increasing ethanol content. For E80 and most of the studied ethanol blends, the normalized integrated COV values exhibited maxima at certain droplet sizes (40 µm, 47.5 µm, and 55 µm), which indicate the presence of distinct MDR effects.

© 2021 Optical Society of America

Full Article  |  PDF Article
More Like This
Polarization-dependent LIF/Mie ratio for sizing of micrometric ethanol droplets doped with Nile red

Matthias Koegl, Hongfei Dai, Kevin Baderschneider, Hannah Ulrich, and Lars Zigan
Appl. Opt. 61(14) 4204-4214 (2022)

Characterization of fuel/water mixtures and emulsions with ethanol using laser-induced fluorescence

Matthias Koegl, Christopher Mull, Yogeshwar Nath Mishra, Stefan Will, and Lars Zigan
Appl. Opt. 59(4) 1136-1144 (2020)

Analysis of LIF and Mie signals from single micrometric droplets for instantaneous droplet sizing in sprays

Matthias Koegl, Bernhard Hofbeck, Kevin Baderschneider, Yogeshwar Nath Mishra, Franz J. T. Huber, Edouard Berrocal, Stefan Will, and Lars Zigan
Opt. Express 26(24) 31750-31766 (2018)

Supplementary Material (1)

NameDescription
Supplement 1       Supplementary information

Data Availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (13)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (2)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (1)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.