Quantitative characterization of diesel sprays using digital imaging techniques

Shao, Jiaqing; Yan, Yong; Greeves, G.; Smith, Stephen R.

doi:10.1088/0957-0233/14/7/328

Cited by 47 publications

(27 citation statements)

References 8 publications

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“…In order to obtain the accurate detailed quantification of spray characteristics from the images, the most important step is how to distinguish the spray image from the background and define the spray boundary. Hundreds of segmentation techniques are presented [13], but there is not a proven 'best' method to apply for all kinds of images. The main point of the segmentation algorithm is to select a suitable threshold level to separate the spray from the background.…”

Section: Automatic Segmentationmentioning

confidence: 99%

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Investigation of the spray characteristics for a secondary fuel injection nozzle using a digital image processing method

Jeong¹,

Lee²,

Ikeda³

2007

Meas. Sci. Technol.

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There are many ways to reduce diesel engine exhaust emissions. However, NO x emission is difficult to reduce because the hydrocarbon (HC) concentration in a diesel engine is not sufficient for NO x conversion. Therefore, in order to create stoichiometric conditions in the De-NO x catalyst, a secondary injection system is designed to inject liquid HC into the exhaust pipe. The atomization and distribution characteristics of the HC injected from a secondary injector are key technologies to obtain a high NO x conversion because inhomogeneous droplets of injected HC cause not only high fuel consumption but also deterioration of NO x emission. This paper describes the spray characteristics of a secondary injector including the spray angle, penetration length and breakup behaviour of the spray to optimize the reduction rate of the NO x catalyst. In this study, various optical diagnostics were applied to investigate these spray characteristics, the atomization mechanism and spray developing process. The visualization and image processing method for the spray pulsation were developed by high speed photography. The influence of the fuel supply pressure on the spray behaviour and a more detailed spray developing process have been analysed experimentally using image processing. Finally, the experimental results were used to correlate the spray structure to the injection system performance and to provide a design guide for a secondary injector nozzle.

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Section: Automatic Segmentationmentioning

confidence: 99%

“…Because the nozzle used in this study is controlled by the fuel pressure, pulsation behaviour occurs during the injection. Therefore, it is very difficult to obtain the spray angle with previous measurement techniques [7,13]. The spray edge was detected by the Canny filter and is shown in figure 12(c).…”

Section: Definitions Of the Spray Characteristicsmentioning

confidence: 99%

Investigation of the spray characteristics for a secondary fuel injection nozzle using a digital image processing method

Jeong¹,

Lee²,

Ikeda³

2007

Meas. Sci. Technol.

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“…The threshold is manually selected as a constant value for all of the image set on the basis of the visual quality of the result in [7][8][9]. This solution cannot be considered as a good choice as the illumination and, therefore, the pixel intensity varies between different images.…”

Section: Introductionmentioning

confidence: 99%

Diesel Spray Macroscopic Parameter Estimation Using a Synthetic Shapes Database

Bottega

Dongiovanni

2019

Applied Sciences

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The paper presents a method for the macroscopic characterization of diesel sprays starting from digital images. Macroscopic spray characterization mainly consists in the definition of two parameters, namely penetration and cone angle. The latter can be evaluated according to many possible definitions, all based on the spray contour that is obtained by means of image thresholding. Therefore, the obtained cone angle value depends on the adopted angle definition and on the used thresholding algorithm. In order to avoid this double dependence, an alternative method has hence been proposed. The algorithm does not require the image thresholding and has an intrinsic cone angle definition. The algorithm takes advantage of principal component analysis technique and allows for a direct estimation of spray penetration and cone angle by comparing the original image with a database made of artificial spray images. In the present work, images coming from two different experiments are analyzed with the proposed method and results are compared with those obtained with a traditional procedure based on the Otsu’s image thresholding and four cone angle definitions.

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“…Delacourt et al developed software that enables automatic processing of the spray images to obtain macroscopic spray characteristic without intervention of the experimenter [8]. Shao et al also developed software to measure macroscopic spray characteristics and compared the results to those obtained by the manual method [9]. Larsson was among the few authors that mentioned the use of a threshold 10 out of 255 in his spray images to suppress the noise without omitting the essential parts of the image [10].…”

Section: Introductionmentioning

confidence: 99%

Qualitative and quantitative analysis of spray characteristics of diesel and biodiesel blend on common-rail injection system

Ghurri

Kim

Song³

et al. 2011

J Mech Sci Technol

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An experimental study was performed on spray characteristics of spray diesel (D100) and biodiesel blend (BD65) injected into an atmospheric chamber. A qualitative analysis of spray images was conducted through exploiting the image processing with common image processing software. The results showed that the posterization of the images offered more detailed qualitative information on the spray compared to the more commonly-used threshold method. The posterized images showed the existence of layers in the spray with its transition at different grey levels. At lower injection, the spray tip penetration of BD65 was slightly lower than D100, whereas at high injection pressure, spray tip penetration of BD65 was higher than D100. Although BD65 had lower maximum velocity, the higher density of biodiesel may have resulted in greater momentum that enabled BD65 to have longer spray tip penetration at higher injection pressure. At higher injection pressure, the spray angle of BD65 tended to be less than that of D100.

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Quantitative characterization of diesel sprays using digital imaging techniques

Cited by 47 publications

References 8 publications

Investigation of the spray characteristics for a secondary fuel injection nozzle using a digital image processing method

Investigation of the spray characteristics for a secondary fuel injection nozzle using a digital image processing method

Diesel Spray Macroscopic Parameter Estimation Using a Synthetic Shapes Database

Qualitative and quantitative analysis of spray characteristics of diesel and biodiesel blend on common-rail injection system

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