SAE Technical Paper Series 2003
DOI: 10.4271/2003-01-0062
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Application of an Imaging-based Diagnostic Technique to Quantify the Fuel Spray Variations in a Direct-Injection Spark-Ignition Engine

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Cited by 22 publications
(10 citation statements)
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“…However, the levels of RMS in these areas are overall higher. These observations seem to be somewhat in line with the those of Hung et al [9] and Kashdan et al [10], who found the variation in the spray envelope to be independent of the gas pressure for iso-octane pressure-swirl sprays, although the fuel temperature was not varied. Figure 18 for 0.5 bar gas pressure, there is little variation in spray penetration between the fuels.…”
Section: Resultssupporting
confidence: 91%
“…However, the levels of RMS in these areas are overall higher. These observations seem to be somewhat in line with the those of Hung et al [9] and Kashdan et al [10], who found the variation in the spray envelope to be independent of the gas pressure for iso-octane pressure-swirl sprays, although the fuel temperature was not varied. Figure 18 for 0.5 bar gas pressure, there is little variation in spray penetration between the fuels.…”
Section: Resultssupporting
confidence: 91%
“…Researchers have developed different techniques to study the cycle-to-cycle variation of fuel spray (Hung et al, 2003;Zhong et al, 2012). Hung et al (2003) presented the presence probability image (PPI) technique to quantify the pulse-to-pulse variation of macroscopic fuel spray geometry for SIDI engine applications.…”
Section: Introductionmentioning
confidence: 99%
“…The theory of waveform image matching is applied by matching waveform image diagnosed with that in the ignition waveform faults database to find the closest faults waveform image to confirm faults type generated corresponding to ignition fault waveform, as to achieve faults diagnosis purposes by the ignition voltage waveform [7][8][9][10].…”
Section: Waveform Image Matching Algorithmmentioning
confidence: 99%