Study on diesel spray characteristics based on image processing

Bingbing Liu; Yue Li; Feng Chen

doi:10.1117/12.2674520

23 May 2023 Study on diesel spray characteristics based on image processing

Bingbing Liu, Yue Li, Feng Chen

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126043F (2023) https://doi.org/10.1117/12.2674520
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

Based on MATLAB, a processing method which can accurately measure the spray characteristic parameters in the image was proposed, including background difference, image enhancement, threshold segmentation, edge detection, morphological operation and other algorithms. The macroscopic characteristic parameters of spray were extracted, and the variation rules of penetration distance and spray cone angle under different factors were analyzed. It is found that under the conditions of 140 MPa and 160 MPa injection pressure, 1 MPa and 2 MPa back pressure, and 0.315 mm and 0.366 mm nozzle diameter, with the increase of spray pressure, penetration distance increases and spray cone angle decreases. The penetration distance and cone angle decrease with the increase of hole diameter. The cone angle increased with the increase of back pressure, and the penetration distance showed the opposite trend.

Citation Download Citation

Bingbing Liu, Yue Li, and Feng Chen "Study on diesel spray characteristics based on image processing", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126043F (23 May 2023); https://doi.org/10.1117/12.2674520

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