Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Quantitative imaging through a spectrograph. 2. Stoichiometry mapping by Raman scattering.

René A L Tolboom1, Nico J Dam, Hans ter Meulen

  • 1Applied Physics Group, Radboud University of Nijmegen, Toernooiveld 1, 6525 ED Nijmegen, The Netherlands.

Applied Optics
|November 13, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Writing in turbulent air.

Physical review. E, Statistical, nonlinear, and soft matter physics·2008
Same author

Quantitative imaging through a spectrograph. 1. Principles and theory.

Applied optics·2004
Same author

Quantitative spectrally resolved imaging through a spectrograph.

Optics letters·2003
See all related articles

Researchers used Bayesian deconvolution with Raman imaging to measure the 2D stoichiometry field in methane-air flames. This technique derives the fuel equivalence ratio from gas concentrations, showing promise for combustion analysis.

Area of Science:

  • Combustion Science
  • Optical Diagnostics
  • Chemical Engineering

Background:

  • Accurate measurement of stoichiometry is crucial for understanding and controlling combustion processes.
  • Raman imaging offers a non-intrusive method for species concentration determination in flames.
  • Previous work established a Bayesian deconvolution algorithm for signal processing.

Purpose of the Study:

  • To apply a Bayesian deconvolution algorithm to Raman imaging data.
  • To measure the two-dimensional stoichiometry field in a combustible methane-air mixture.
  • To assess the feasibility of single-shot Raman imaging for combustion diagnostics.

Main Methods:

  • Utilized Raman imaging through a spectrograph to capture flame emission.
  • Applied a Bayesian deconvolution algorithm to process the spectral data.

Related Experiment Videos

  • Derived stoichiometry (fuel equivalence ratio) from measured number densities of methane and nitrogen.
  • Main Results:

    • Successfully measured the two-dimensional stoichiometry field in a methane-air mixture.
    • Achieved a signal-to-noise ratio of approximately 10 with a 600-laser-shot average.
    • Demonstrated the capability of the algorithm to reconstruct quantitative concentration fields.

    Conclusions:

    • The Bayesian deconvolution algorithm is effective for quantitative analysis of Raman imaging data in combustion.
    • The method provides valuable insights into the spatial distribution of stoichiometry in flames.
    • Further development may enable single-shot measurements for time-resolved combustion studies.