• DocumentCode
    1922994
  • Title

    A quantum cascade laser based mid-infrared sensor for the detection of carbon monoxide and nitrous oxide in the jet of a microwave plasma preheated auto-ignition burner

  • Author

    Schad, F. ; Eitel, F. ; Wagner, Steffen ; Dreizler, A. ; Elsaeber, W.

  • Author_Institution
    Inst. for Appl. Phys., Darmstadt Univ. of Technol., Darmstadt, Germany
  • fYear
    2013
  • fDate
    12-16 May 2013
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Auto-ignition (AI) processes play an enormous role in a multiplicity of technical applications e. g. in lean premixed prevaporized gas turbines, direct injection diesel engines or new combustion processes like compression auto-ignition. All these applications have in common that fuel is injected into hot turbulent flows. To study AI processes a new test-rig has been designed at the institute for Reactive Flows and Diagnostics (RSM) at TU Darmstadt. The aim of this research project is the investigation of AI from a fuel jet propagating into a preheated turbulent air co-flow under well known boundary conditions.
  • Keywords
    carbon compounds; chemical sensors; combustion; gas turbines; ignition; nitrogen compounds; optical sensors; plasma jets; quantum cascade lasers; turbulence; Al; CO; NO; Reactive Flows and Diagnostics; carbon monoxide detection; combustion processes; compression auto-ignition; direct injection diesel engines; fuel jet; hot turbulent flows; microwave plasma preheated auto-ignition burner; nitrous oxide detection; premixed prevaporized gas turbines; quantum cascade laser based midinfrared sensor; Artificial intelligence; Educational institutions; Fires; Fuels; Plasma temperature; Temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Lasers and Electro-Optics Europe (CLEO EUROPE/IQEC), 2013 Conference on and International Quantum Electronics Conference
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4799-0593-5
  • Type

    conf

  • DOI
    10.1109/CLEOE-IQEC.2013.6801230
  • Filename
    6801230