soot temperature
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2021 ◽  
Author(s):  
Ashwinraj Gnanavel

<div>In this paper, temperature of the soot particles from the flame was determined using line of sight attenuation setup. The emission from the soot particles of the flame will be filtered using a three color pyrometry, in which three slits of different wavelengths will be placed in front of the AP-3200T-USB camera. The author did not use spectrometer to filter the wavelengths because, a spectrometer would give a spectrum consisting of 15 different colors, which is not required in this experiment, since calculation of temperature of the soot only requires two colors to be filtered from the soot. Each wavelength corresponds to RED, BLUE and GREEN color respectively. After the soot emission images are captured in all the three wavelengths, three images will be obtained from the camera. For reading these images, MATLAB code was used, and the pixel intensity values were read from which temperature could be calculated.</div>


2021 ◽  
Author(s):  
Ashwinraj Gnanavel

<div>In this paper, temperature of the soot particles from the flame was determined using line of sight attenuation setup. The emission from the soot particles of the flame will be filtered using a three color pyrometry, in which three slits of different wavelengths will be placed in front of the AP-3200T-USB camera. The author did not use spectrometer to filter the wavelengths because, a spectrometer would give a spectrum consisting of 15 different colors, which is not required in this experiment, since calculation of temperature of the soot only requires two colors to be filtered from the soot. Each wavelength corresponds to RED, BLUE and GREEN color respectively. After the soot emission images are captured in all the three wavelengths, three images will be obtained from the camera. For reading these images, MATLAB code was used, and the pixel intensity values were read from which temperature could be calculated.</div>


2021 ◽  
Vol 138 ◽  
pp. 106419
Author(s):  
Hong Qi ◽  
Jing-Wen Shi ◽  
Yan-Xiong Su ◽  
Bao-Hai Gao ◽  
Ya-Tao Ren

2019 ◽  
Vol 204 ◽  
pp. 290-303 ◽  
Author(s):  
Tiemin Xuan ◽  
Jose M. Desantes ◽  
Jose V. Pastor ◽  
Jose M. Garcia-Oliver
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Author(s):  
Wei Jing ◽  
Zengyang Wu ◽  
William L. Roberts ◽  
Tiegang Fang

Soot formation process was investigated for biomass-based renewable diesel fuel, such as biomass to liquid (BTL), and conventional diesel combustion under varied fuel quantities injected into a constant volume combustion chamber. Soot measurement was implemented by two-color pyrometry under quiescent type diesel engine conditions (1000 K and 21% O2 concentration). Different fuel quantities, which correspond to different injection widths from 0.5 ms to 2 ms under constant injection pressure (1000 bar), were used to simulate different loads in engines. For a given fuel, soot temperature and KL factor show a different trend at initial stage for different fuel quantities, where a higher soot temperature can be found in a small fuel quantity case. but a higher KL factor is observed in a large fuel quantity case generally. Another difference occurs at the end of combustion due to the termination of fuel injection. Additionally, BTL flame has a lower soot temperature, especially under a larger fuel quantity (2 ms injection width). Meanwhile, average soot level is lower for BTL flame, especially under a lower fuel quantity (0.5 ms injection width). BTL shows an overall low sooting behavior with low soot temperature compared to diesel; however, trade-off between soot level and soot temperature needs to be carefully selected when different loads are used.


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