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Characterization of In-Cylinder Combustion Temperature Based on a Flame-Image Processing Technique

Author

Listed:
  • Hanyu Chen

    (School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China)

  • Yaoqi Hou

    (School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China)

  • Xi Wang

    (School of Physical Education, Jianghan University, Wuhan 430056, China)

  • Zhixiang Pan

    (School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China)

  • Hongming Xu

    (Department of Mechanical Engineering, University of Birmingham, Birmingham B15 2TT, UK)

Abstract

The analysis of in-cylinder combustion temperatures using flame image processing technology is reliable. This method can accurately, intuitively, and in real time obtain the temperature field distribution law of the combustion flame in the cylinder, so we can more deeply understand the characteristics of the combustion process of internal combustion engines. In this paper, a high-speed charge-coupled device (CCD) camera is used to record an in-cylinder combustion image, which is calculated and corrected according to the principle of three primary color temperature measurement, and the temperature field distribution of the combustion flame in the diesel engine cylinder is analyzed in detail. In addition, the temperature of the typical combustion flame images under the open-cycle and closed cycle conditions is compared by the CMS2002 measurement and MATLAB program, respectively. The results show that the accuracy of the MATLAB program is acceptable in general but not entirely acceptable in a few ways.

Suggested Citation

  • Hanyu Chen & Yaoqi Hou & Xi Wang & Zhixiang Pan & Hongming Xu, 2019. "Characterization of In-Cylinder Combustion Temperature Based on a Flame-Image Processing Technique," Energies, MDPI, vol. 12(12), pages 1-12, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:12:p:2386-:d:241778
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    Cited by:

    1. Weijie Yan & Zhichao Hu & Kuangyu Li & Xiaoyu Xing & Huifang Gong & Bo Yu & Huaichun Zhou, 2022. "Numerical Simultaneous Determination of Non-Uniform Soot Temperature and Volume Fraction from Visible Flame Images," Energies, MDPI, vol. 15(8), pages 1-18, April.

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