| 3-D flame temperature field reconstruction with multiobjective neural network |
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| 作者姓名： | 万雄 高益庆 汪元美 |
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| 作者单位： | Institute of Automation of Nanjing University of Aeronautics and Astronautics，Nanjing 210016 Department of Test and Control Engineering，Nanchang Institute of Aeronautical Technology，Nanchang 330034，Department of Test and Control Engineering，Nanchang Institute of Aeronautical Technology，Nanchang 330034，Department of Test and Control Engineering，Nanchang Institute of Aeronautical Technology，Nanchang 330034 |
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| 基金项目： | This project was supported by China Aeronautical Basic Science Foundation under Grant No. 00156004，by Foundation of Jiangxi Test Technology and Control Engineering Center under Grant No. KG200104002. |
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| 摘 要： | A novel 3-D temperature field reconstruction method is proposed in this paper, which is based on multi-wavelength thermometry and Hopfield neural network computed tomography. A mathematical model of multi-wavelength thermometry is founded, and a neural network algorithm based on multiobjective optimization is developed. Through computer simulation and comparison with the algebraic reconstruction technique (ART) and the filter back-projection algorithm (FBP), the reconstruction result of the new method is discussed in detail. The study shows that the new method always gives the best reconstruction results. At last, temperature distribution of a section of four peaks candle flame is reconstructed with this novel method.
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3-D flame temperature field reconstruction with multiobjective neural network |
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| Abstract: | A novel 3-D temperature field reconstruction method is proposed in this paper, which is based on multi-wavelength thermometry and Hopfield neural network computed tomography. A mathematical modelof multi-wavelength thermometry is founded, and a neural network algorithm based on multiobjectiveoptimization is developed. Through computer simulation and comparison with the algebraic reconstructiontechnique (ART) and the filter back-projection algorithm (FBP), the reconstruction result of the newmethod is discussed in detail. The study shows that the new method always gives the best reconstructionresults. At last, temperature distribution of a section of four peaks candle flame is reconstructed with thisnovel method. |
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