等截面超-超引射器流场结构及引射性能

Chen Jian; Wang Zhenguo; Wu Jiping; Xu Wanwu

doi:10.3788/HPLPB20122406.1301

Volume 24 Issue 06

May 2012

Turn off MathJax

Article Contents

Abstract

References

Article Navigation > High Power Laser and Particle Beams > 2012 > 24(06): 1301-1305

Su Jian, Zeng Zhi, Liu Yue, et al. Monte Carlo simulation of muon radiation environment in China Jinping Underground Laboratory[J]. High Power Laser and Particle Beams, 2012, 24: 3015-3018. doi: 10.3788/HPLPB20122412.3015

Citation:

Chen Jian, Wang Zhenguo, Wu Jiping, et al. 等截面超-超引射器流场结构及引射性能[J]. High Power Laser and Particle Beams, 2012, 24: 1301-1305. doi: 10.3788/HPLPB20122406.1301

Citation:

Chen Jian, Wang Zhenguo, Wu Jiping, et al. 等截面超-超引射器流场结构及引射性能[J]. High Power Laser and Particle Beams, 2012, 24: 1301-1305. doi: 10.3788/HPLPB20122406.1301

PDF( 578 KB)

等截面超-超引射器流场结构及引射性能

doi: 10.3788/HPLPB20122406.1301

1.
Science and Technology on Scramjet Laboratory,National University of Defense Technology,Changsha 410073,China

Received Date: 2011-08-10
Rev Recd Date: 2012-01-09
Publish Date: 2012-06-15

Abstract

Abstract

为考察超声速引射器直接引射超声速二次流时的性能，采用纹影技术和压力测量手段对一等截面超-超引射器的流场结构及其引射性能进行了实验研究。研究结果表明:一、二次流交汇后在混合室前段形成了复杂的超声速流场结构。根据二次流在混合室入口流动状态的不同，可将超-超引射划分为非饱和超-超引射和饱和超-超引射两种工作状态；二次流在混合室入口处产生的激波提高了引射器的压力匹配性能；在给定的引射系数下，引射器的增压性能随二次流马赫数的增大而降低，而引射马赫数对引射器压力恢复性能的影响不大。

FullText(HTML)

References(0)

References

Relative Articles

[1]	Xie Rong, Hao Jianhong, Zhao Qiang, Zhang Fang, Fan Jieqing, Xue Bixi, Dong Zhiwei, Cao Xiangchun. Research on Monte Carlo calculation method for photon absorbed dose[J]. High Power Laser and Particle Beams, 2024, 36(10): 106003. doi: 10.11884/HPLPB202436.240037
[2]	Li Jie, Li Yunzhao, Wu Hongchun, Zheng Qi. Weighted Monte Carlo solution of neutron kinetics equations[J]. High Power Laser and Particle Beams, 2018, 30(1): 016009. doi: 10.11884/HPLPB201830.170242
[3]	Li Zhanyu, Dong Ning, Ji Feng, Gong Shaoyan, Chen Yuhao, Xie Yanzhao. Uncertainty quantification analysis of random field coupling to transmission lines based on polynomial chaos expansion method[J]. High Power Laser and Particle Beams, 2017, 29(11): 113203. doi: 10.11884/HPLPB201729.170135
[4]	Cheng Zhenbo, Liu Xiaolong, Yan Junkai. Evaluation of uncertainty in peak detector calibration based on Monte-Carlo method[J]. High Power Laser and Particle Beams, 2016, 28(11): 113007. doi: 10.11884/HPLPB201628.151066
[5]	Han Feng, Liu Yu, Wang Bin. Method for evaluating radiation harden performance of electronic system based on system status[J]. High Power Laser and Particle Beams, 2016, 28(08): 084001. doi: 10.11884/HPLPB201628.150695
[6]	Zhang Jie, Zhang Ying, Chen Xiulian, Pang Beibei, Bai Lixin. Geometric factor calculation program based on Monte Carlo method[J]. High Power Laser and Particle Beams, 2015, 27(01): 014002. doi: 10.11884/HPLPB201527.014002
[7]	Wang Yi, Li Qin, Li Tiantao. Monte Carlo imaging simulation for X-ray spectrum estimation[J]. High Power Laser and Particle Beams, 2013, 25(11): 3017-3020. doi: 10.3788/HPLPB20132511.3017
[8]	Chen Li, Ma Hao, Zeng Zhi, Li Junli, Cheng Jianping. Monte Carlo-based sourceless efficiency calibration method of HPGe γ spectrometer[J]. High Power Laser and Particle Beams, 2013, 25(01): 201-206. doi: 10.3788/HPLPB20132501.0201
[9]	Li Gang, Zhang Baoyin, Deng Li, Hu Zehua, Ma Yan. Development of Monte Carlo particle transport code JMCT[J]. High Power Laser and Particle Beams, 2013, 25(01): 158-162. doi: 10.3788/HPLPB20132501.0158
[10]	Shangguan Danhua, Li Gang, Zhang Baoyin, Deng Li. Design of sampling tools for Monte Carlo particle transport code JMCT[J]. High Power Laser and Particle Beams, 2012, 24(12): 2955-2958. doi: 10.3788/HPLPB20122412.2955
[11]	Zuo Yinghong, Wang Jianguo, . Application of Monte Carlo method to solving boundary value problem of differential equations[J]. High Power Laser and Particle Beams, 2012, 24(12): 3023-3027. doi: 10.3788/HPLPB20122412.3023
[12]	Zhang Xuan, Huang Jiaofeng, Liu Jun, Guan Yonghong, Liu Jin. Application of Monte Carlo method to boundary location of flash radiographs[J]. High Power Laser and Particle Beams, 2012, 24(12): 2983-2986. doi: 10.3788/HPLPB20122412.2983
[13]	Xie Qin, Geng Changran, Chen Feida, Tang Xiaobin, Yao Ze'en. Calculation of cellular S values for α particle based on Monte Carlo simulation[J]. High Power Laser and Particle Beams, 2012, 24(12): 2970-2974. doi: 10.3788/HPLPB20122412.2970
[14]	Chen Feida, Tang Xiaobin, Wang Peng, Chen Da. Neutron shielding material design based on Monte Carlo simulation[J]. High Power Laser and Particle Beams, 2012, 24(12): 3006-3010. doi: 10.3788/HPLPB20122412.3006
[15]	GenG ChanGran, TanG Xiaobin, Xie Qin, Chen Da. Space radiation environment and human dose calculation based on Monte Carlo method[J]. High Power Laser and Particle Beams, 2012, 24(12): 3028-3032. doi: 10.3788/HPLPB20122412.3028
[16]	Yi Hengguan, Zeng Zhi, Wang Xuewu, Cheng Jianping, Li Junli. Simulation of parallel muons transmission imaging using Monte Carlo method[J]. High Power Laser and Particle Beams, 2012, 24(12): 2987-2990. doi: 10.3788/HPLPB20122412.2987
[17]	zhang huabin, zhao xiang, zhou haijing, huang kama. Probabilistic and statistical analysis of mode stirred reverberation chamber and its Monte Carlo simulation[J]. High Power Laser and Particle Beams, 2011, 23(09): 0- .
[18]	fan ruyu, han feng, guo hongxia. Assessment method of gamma-dose radiation hardness of power supply system[J]. High Power Laser and Particle Beams, 2011, 23(02): 0- .
[19]	li hongyun, liu yinong. Analysis of background component introduced by mirror in neutron radiography CCD image system[J]. High Power Laser and Particle Beams, 2010, 22(02): 0- .
[20]	chen nan, li cheng-gang, dai wen-hua, li hong, zhou zhi. Application of Monte Carlo method to spot size measurement of X-ray sources[J]. High Power Laser and Particle Beams, 2008, 20(06): 0- .