Visual test analysis of injector carbon deposition based on image processing

Bingbing Liu; Yue Li; Mingming Sun

doi:10.1117/12.2674551

23 May 2023 Visual test analysis of injector carbon deposition based on image processing

Bingbing Liu, Yue Li, Mingming Sun

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126043E (2023) https://doi.org/10.1117/12.2674551
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

High frequency zoom CCD camera, magnification adjustable microscope and other devices were used to visualize the carbon deposition of injector. The image processing system and image comprehensive analysis system were constructed based on MATLAB. The Canny algorithm edge detection. Regionprops function and Viscircles function are used to get the area of the hole circle in the image processing system. The area proportion and thickness of carbon deposit are used as indicators in the image comprehensive analysis system. When the area of carbon deposit is greater than 20%, the injector needs to be cleaned. The four groups of fuel injectors were photographed and measured. It was found that the area proportion of carbon deposition was between 16 ~ 30%, and the thickness of carbon deposition was between 0.02 ~ 0.04 after working for a period of time.

Citation Download Citation

Bingbing Liu, Yue Li, and Mingming Sun "Visual test analysis of injector carbon deposition based on image processing", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126043E (23 May 2023); https://doi.org/10.1117/12.2674551

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