Efficiency of aero-engine infrared radiation computation by using BMC method
-
摘要: 反向蒙特卡罗(BMC)法的计算精度高、适应性强,是计算目标红外辐射特征的常用方法。基于CFD 和IR 综合计算分析的方法,研究了射线步长、射线数、射线携带能量方式等因素对BMC法计算航空发动机红外辐射强度的效率的影响。结果表明:射线步长与喷管出口当量直径比在0.05~0.1的范围内,射线数达到105量级时的计算效率较高;采用射线携带多个波段能量的方法,计算时间可缩短数十倍;通过MPI平台实现了并行计算,进一步缩短BMC法的计算时间,但并行效率随着计算核心的增加而下降。在保证计算精度的前提下,通过合理地选择参数、算法改进和并行计算,提高了计算效率。Abstract: The Backward Monte Carlo (BMC) method is a common method for calculating the target's infrared radiation signature because of its high accuracy and strong adaptability. Based on general CFD/IR numerical calculation method, the impact of ray discrete step size, ray number, energy carrying method on aero-engine infrared radiation intensity computation efficiency was investigated by using BMC method. The results show that the computation efficiency is high when the ratio of ray discrete step size to equivalent diameter of nozzle exit is between 0.05 to 0.1 and ray's number is more than 105; the computation time can be shortened by dozens of times through ray carrying multiple bands energy method; the computation time of BMC method can be reduced further by parallel computation with MPI platform, but the parallel efficiently will be decreased with increasing the computation core number. In the premise of ensuring the accuracy of the results, the efficiency of infrared radiation computation was improved by reasonable selection of parameters, algorithm improvement and parallel computation.
-
Key words:
- BMC /
- aero-engine /
- infrared radiation /
- efficiency
-
[1] [2] Modest M F. Backward Monte Carlo simulations in radiative heat transfer[J]. Journal of Heat Transfer, 2003, 125: 57-62. [3] 谈和平, 夏新林, 刘林华, 等. 红外辐射特性与传输的数值计算计算热辐射学[M]. 哈尔滨: 哈尔滨工业大学出版社, 2006. [4] [5] [6] Qi Hong, Wang Dalin, Huang Xizhen, et al. Development of a general multi-flux method for simulating the radiative intensity[J]. Journal of Engineering Thermophysics, 2009, 30(7): 1204-1206. (in Chinese)齐宏, 王大林, 黄细珍, 等. 求解任意方向辐射强度的广义多流法[J]. 工程热物理学报, 2009, 30(7): 1204-1206. [7] Liu L H. Benchmark numerical solutions for radiative heat transfer in two-dimensional medium with graded index distribution[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2006, 102(2): 293-303. [8] [9] Liu L H. Backward monte carlo method based on radiation distribution factor[J]. J Thermophysics, 2003, 18(4): 151-152. [10] [11] Shuai Y, Dong S K, Tan H P. Simulation of the infrared radiation characteristics of high-temperature exhaust plume including particles using the backward Monte Carlo method[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2005, 95(2): 231-240. [12] [13] Jianwei L, Qiang W. Aircraft-skin infrared radiation characteristics modeling and analysis[J]. Chinese Journal of Aeronautics, 2009, 22(5): 493-497. [14] [15] [16] Huang Wei, Ji Honghu. Compuatational investigation of infrared radiation characteristics of exhuast system based on BRDF[J]. Acta Aeronautica et astronautica Sinica, 2012, 33(7): 1227-1235. (in Chinese)黄伟, 吉洪湖. 基于BRDF 的排气系统红外辐射特征计算研究[J]. 航空学报, 2012, 33(7): 1227-1235. [17] [18] Chai Dong, Fang Yangwang, Tong Zhongxiang, et al. Numerical simulation on infrared radiation characteristics of scramjet nozzles[J].Acta Aeronautica et Astronautica Sinica, 2013, 34(10): 2300-2307. (in Chinese)柴栋, 方洋旺, 童中翔, 等. 超燃冲压发动机喷管红外辐射特性数值模拟[J]. 航空学报, 2013, 34(10): 2300-2307. [19] [20] Qi Xueqin, Wang Pingyang, Zhang Jingzhou, et al. Reverse Monte Carlo simulation on infrared radiation of lobed nozzle/mixer plume[J]. Journal of Shanghai Jiaotong University, 2005, 39(8): 1229-1232. (in Chinese)亓雪芹, 王平阳, 张靖周, 等. 反向蒙特卡罗法模拟波瓣喷管的红外辐射特性[J]. 上海交通大学学报, 2005, 39(8): 1229-1232. [21] [22] Fureby C, Henriksson M, Parmhed O, et al. CFD predictions of jet engine exhaust plumes[R]. AIAA 2008-3727, 2008. [23] Wang K C. Prediction of rocket plume radiative heating using backward Monte-Carlo method[R]. AIAA 93-0137, 1993. -
点击查看大图
计量
- 文章访问数: 439
- HTML全文浏览量: 79
- PDF下载量: 155
- 被引次数: 0
下载:
