摘要
火焰温度场及组分浓度场的实时测量对燃料能量的有效利用以及控制燃烧产物具有重要作用,本文基于层析吸收光谱技术实现了对不同模态火焰温度场和CO_(2)组分浓度场的二维重建.构建了火焰温度场和CO_(2)浓度场协同重建模型,分别采用代数迭代ART(algebra reconstruction technique)算法与引入正则化技术的CGLS(conjugate gradient least sqaure)算法对火焰的温度场和CO_(2)组分浓度场进行了重建,对两种算法的重建精度、效率和抗噪性进行了研究.通过混合多种群粒子群随机寻优算法,对固定光线数目下最优测量精度的光线布置进行了求解.
The real-time measurement of flame temperature field and component concentration field plays an important role in the effective utilization of fuel energy and the control of combustion products.In this paper,the two-dimensional reconstruction of flame temperature field and component concentration field of CO_(2)in different modes is realized based on tomographic absorption spectroscopy.The cooperative reconstruction model of flame temperature field and concentration field is constructed.The algebraic iterative ART(algebra reconstruction technique)algorithm and the CGLS(conjugate gradient least sqaure)algorithm with regularization technique are used,respectively,to reconstruct the flame temperature field and the CO_(2)component concentration field.The reconstruction accuracy,efficiency and anti-noise of the two algorithms are studied.With the introduction of multigroup particle swarm random optimization algorithm,the ray arrangement with the optimal measurement accuracy under a fixed number of rays is solved.
作者
冀禹昆
牛志田
任亚涛
何明键
齐宏
Ji Yukun;Niu Zhitian;Ren Yatao;He Mingjian;Qi Hong(School of Energy Science and Engineering,Harbin Institute of Technology,Harbin 150001,China;Key Laboratory of Aerospace Thermophysics,Ministry of Industry and Information Technology,Harbin 150001,China)
出处
《燃烧科学与技术》
CAS
CSCD
北大核心
2023年第2期159-167,共9页
Journal of Combustion Science and Technology
基金
国家自然科学基金资助项目(51976044)
中国博士后科学基金特别资助项目(2021TQ0086).
关键词
层析吸收光谱
火焰
协同重建
正则化
tomography absorption spectroscopy
flame
collaborative reconstruction
regularization
