Experimental investigation on fuel distribution using kerosene-PLIF in a scramjet combustor with dual cavity

Author(s):  
Xi P. Li ◽  
Weidong Liu ◽  
Leichao Yang ◽  
Jiajian Zhu ◽  
Yu Pan
2018 ◽  
Vol 34 (2) ◽  
pp. 552-556 ◽  
Author(s):  
Xi-Peng Li ◽  
Wei-Dong Liu ◽  
Lei-Chao Yang ◽  
Bin An ◽  
Yu Pan ◽  
...  

Author(s):  
Yang Mao-lin ◽  
Gu Shan-jian ◽  
Liu Gao-en ◽  
Li Xiang-yi

The results of an experimental investigation of fuel distribution downstream of a plain orifice injector in a transverse air stream are presented. The fuel concentration distribution at the survey plane downstream of the injector was determined with an iso-kinetic sampling technique and the pattern of fuel distribution was described. The empirical expressions for the centreline of a fuel spray (which was defined as the maximum fuel concentration line or penetration distance of the fuel jet) and for the peak value of the fuel concentration were obtained. An empirical method is proposed to predict the liquid fuel concentration distribution in the plane downstream of the injector and the fuel despersion contour line.


2004 ◽  
Vol 17 (2) ◽  
pp. 65-71 ◽  
Author(s):  
Wen-yan SONG ◽  
Ming LI ◽  
Yuan-hu CAI ◽  
Wei-xiong LIU ◽  
Han-chen BAI

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Jun Yang ◽  
Xian-yu Wu ◽  
Zhen-guo Wang

Generally, the overall performance of scramjet combustor is greatly impacted by the fuel distribution scheme. The current paper mainly conducted a comprehensive parametric study of the impact of fuel distribution on the overall performance of a kerosene-based scramjet combustor. Herein, a 3D supersonic combustor with a recessed cavity and four injection orifices was taken into consideration. The combustor’s performance was analyzed by 3D RANS model. The fuel equivalence ratio for each injection port was taken as the design variables. And the combustion efficiency, the total pressure recovery coefficient, and the drag coefficient were chosen as the objective functions. Some novel data mining methods including DOE technique, Kriging approximation model, interaction analysis, and main effects analysis methods were employed to conduct the parametric study. The distributed fuel injection scheme was optimized by nondominated sorting genetic algorithm. The results show that three objective functions were remarkably affected by both of the total fuel equivalence ratio and the fuel distribution scheme. The objective functions cannot reach the optimal solution at the same time, and there must be a tradeoff among the objective functions.


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