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Research of Lean Premixed Flame by Chemiluminescence Tomography

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Experimental and Numerical Investigations in Materials Science and Engineering (CNNTech 2018, CNNTech 2018)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 54))

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Abstract

An experimental research of lean premixed flame in a swirl burner is performed using CH* chemiluminescence imaging. The images of flame are acquired and the flame structure is investigated. The position of flame front, represented by the area with highest rate of exothermic chemical reactions, is deduced from the acquired images. To identify the flame front using two dimensional images, a method of image tomography is applied. A tomography of the images is numerically performed using an in-house developed numerical Abel transform. It is found that flame tomography enables precise location of flame front in turbulent flows. The tomography research is compared and analyzed with the numerical results of the same burner.

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Author information

Authors and Affiliations

  1. Faculty of the Mechanical Engineering, Fuel and Combustion Laboratory, University of Belgrade, 11120, Belgrade, Serbia

    Vuk Adžić, Mustafa Makhzoum, Aleksandar Milivojević & Miroljub Adžić

Authors
  1. Vuk Adžić
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  2. Mustafa Makhzoum
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  3. Aleksandar Milivojević
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  4. Miroljub Adžić
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Corresponding author

Correspondence to Aleksandar Milivojević .

Editor information

Editors and Affiliations

  1. Department for Process Engineering and Environmental Protection, Faculty of Mechanical Engineering, University of Belgrade, Belgrade, Serbia

    Nenad Mitrovic

  2. Innovation Center of Faculty of Mechanical Engineering, Belgrade, Serbia

    Milos Milosevic

  3. Department for Production Engineering, Faculty of Mechanical Engineering, University of Belgrade, Belgrade, Serbia

    Goran Mladenovic

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Adžić, V., Makhzoum, M., Milivojević, A., Adžić, M. (2019). Research of Lean Premixed Flame by Chemiluminescence Tomography. In: Mitrovic, N., Milosevic, M., Mladenovic, G. (eds) Experimental and Numerical Investigations in Materials Science and Engineering. CNNTech CNNTech 2018 2018. Lecture Notes in Networks and Systems, vol 54. Springer, Cham. https://doi.org/10.1007/978-3-319-99620-2_10

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  • DOI: https://doi.org/10.1007/978-3-319-99620-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99619-6

  • Online ISBN: 978-3-319-99620-2

  • eBook Packages: EngineeringEngineering (R0)

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