Multi-parameter reconstruction of soot flame based on active and passive tomography
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摘要:
为克服实际工程应用中火焰辐射特性未知导致对火焰温度和辐射特性协同重建的低效率和低精度难题，结合主动激光层析吸收光谱和被动辐射成像技术，提出一种基于主被动层析融合的高温碳烟火焰多物理场协同重建的新方法。结合多谱段下激光层析透射测量信号和火焰自发辐射光场测量信号，根据火焰弥散介质辐射传输机理建立主被动层析的多场协同重建模型，对数值模拟高温碳烟火焰和耶鲁大学实验燃烧火焰的三维辐射物性场、温度场及气固两相燃烧产物组分浓度场的协同重建进行模拟研究，并对多种测量信号的随机误差进行误差传递分析。结果表明：当激光信噪比大于25 dB时，模拟火焰衰减系数场重建的相关系数接近1，重建的温度场与真值吻合较好；当激光信噪比大于30 dB时，实验火焰碳烟颗粒浓度场重建的相关系数接近1，温度场重建相关系数约为0.83；光场信号测量噪声对温度重建精度的影响比激光测量噪声显著，应尽可能保证激光与光场测量系统的标定精度。
Abstract:A new combustion diagnosis and measurement technology should be developed in order to realize the collaborative reconstruction of multiple physical parameter fields, such as the three-dimensional temperature field, the radiation physical property field, and the component concentration field of the gas-solid combustion products of the high-temperature soot flame. In order to overcome the problem of low efficiency and low accuracy in the coordinated reconstruction of flame temperature and radiation property caused by unknown radiation characteristics in practical engineering applications, a new method of collaborative reconstruction of multi-physical parameter fields of high temperature soot flame based on active and passive tomography fusion is proposed by combining active laser tomography absorption spectroscopy and passive radiation imaging technology. Based on the radiation transmission mechanism of the flame dispersion medium, a multi-parameter collaborative reconstruction model of active and passive tomography is established by combining the transmission measurement signal of laser tomography and spontaneous emission light field measurement signal of flame in the multi-spectral range. According to the numerical simulation flame and the combustion experiment data of Yale University, the cooperative reconstruction of three dimensional radiation physical property, temperature and the gas-solid two-phase combustion product component concentration field of the high-temperature soot flame was simulated and studied, and the error transfer analysis is carried out on the measurement noise of various signals. The results show that when the laser signal-to-noise ratio is greater than 25, the correlation coefficient of the reconstructed extinction coefficient field of the simulated flame is close to 1, and the reconstruction results of temperature field is in good agreement with the true value; When the laser signal-to-noise ratio is greater than 30, the correlation coefficient of reconstructed soot concentration field of the experimental flame is close to 1, and the correlation coefficient of the reconstructed temperature field is about 0.83; The influence of light-field signal measurement noise on temperature reconstruction accuracy is more significant than that of laser measurement noise, and the calibration accuracy of laser and light-field measurement system should be ensured in the measurement process to improve the accuracy of parameter reconstruction.
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图 2 高温碳烟火焰光场相机成像探测模型
Figure 2. Light field camera imaging detection model of high-temperature soot flame
图 4 高温碳烟火焰多参数场协同重建流程
Figure 4. Schematic of multi-parameter collaborative reconstruction of high-temperature soot flame
图 6 不同激光噪声下衰减系数场重建结果
Figure 6. Reconstruction results of extinction coefficients under different laser noise
图 7 不同激光噪声下温度场重建结果
Figure 7. Reconstruction results of temperatures under different laser noise
图 8 不同激光和光场测量误差下温度场重建质量
Figure 8. Reconstruction quality of temperatures under different laser and light field measurement errors
图 9 三种工况下碳烟颗粒浓度重建结果
Figure 9. Reconstruction result of soot particle concentration under three operating conditions
图 10 三种工况下火焰温度重建结果
Figure 10. Reconstruction result of flame temperature under three operating conditions
图 11 三种工况下火焰H2O体积分数场重建结果
Figure 11. Reconstruction result of H2O species concentration under three operating conditions
图 12 三种工况下激光信号噪声对H2O体积分数场重建精度的影响
Figure 12. Influence of laser measurement signal error on reconstruction accuracy of H2O species concentration under three operating conditions
图 13 主被动层析技术测量信号误差传递分析
Figure 13. Error transmission analysis of measurement signal by active and passive chromatography
图 14 光场信号测量误差对重建质量的影响
Figure 14. Effect of light-field signal measurement error on reconstruction quality
表 1 不同激光噪声下衰减系数场重建质量
Table 1. Reconstruction quality of extinction coefficient under different laser noise
SNR / dB e 15 0.9726 20 0.9971 25 0.9998 30 1 35 1 
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表 2 不同激光噪声下火焰碳烟颗粒体积分数场重建质量
Table 2. Reconstruction quality of soot flame particle concentration under different laser noise
工况 SNR / dB e 工况 SNR / dB e 工况1 15 0.9893 工况2 30 1 工况1 20 0.9988 工况2 35 1 工况1 25 0.9999 工况2 40 1 工况1 30 1 工况3 15 0.9834 工况1 35 1 工况3 20 0.9983 工况1 40 1 工况3 25 0.9998 工况2 15 0.9901 工况3 30 1 工况2 20 0.9987 工况3 35 1 工况2 25 0.9999 工况3 40 1
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表 3 不同激光噪声下火焰温度场重建质量
Table 3. Reconstruction quality of flame temperature under different laser noise
工况 SNR / dB e 工况 SNR / dB e 工况1 15 0.7929 工况2 30 0.8260 工况1 20 0.8121 工况2 35 0.8412 工况1 25 0.8161 工况2 40 0.8957 工况1 30 0.8289 工况3 15 0.7440 工况1 35 0.8396 工况3 20 0.7704 工况1 40 0.8677 工况3 25 0.8004 工况2 15 0.7565 工况3 30 0.8166 工况2 20 0.8058 工况3 35 0.8344 工况2 25 0.8189 工况3 40 0.9078
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表 4 可见光激光信号噪声的误差传递
Table 4. Error propagation of visible laser signal noise
参数场 SNR/dB e 碳烟浓度 15 0.9893 碳烟浓度 20 0.9988 碳烟浓度 25 0.9999 碳烟浓度 30 1 碳烟浓度 35 1 温度 15 0.7929 温度 20 0.8121 温度 25 0.8161 温度 30 0.8289 温度 35 0.8396 H2O浓度 15 0.924 H2O浓度 20 0.9407 H2O浓度 25 0.9443 H2O浓度 30 0.9484 H2O浓度 35 0.954
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