The microscopic characteristics of particle matter and image algorithm based on fractal theory
نویسندگان
چکیده
The effects of ash and sulfur content on the morphology particulate matter (PM) in diesel particle filter (DPF) were investigated with five different components lubricants. aggregate primary particles analyzed using transmission electron microscopy (TEM). fractal dimensions carbon calculated by box-counting method (BCM), differential (DBC), relative (RDBC) MAD-based box counting (MAD-DBC), results compared. showed that microstructure PM developed from chain-like structure to agglomerate increase lubricating oil. dimension increased content. SSE RDBC fitting was smaller, R-square is larger. MAD-DBC had stronger anti-noise interference performance.
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ژورنال
عنوان ژورنال: E3S web of conferences
سال: 2022
ISSN: ['2555-0403', '2267-1242']
DOI: https://doi.org/10.1051/e3sconf/202236001003