摘要
本文用一台测量范围为500～1100 nm的便携式光谱仪对乙烯火焰30mm和50 mm两个高度进行扫描,通过黑体炉标定对测量值进行修正得到单色辐射强度,进一步采用随机微粒群算法(SPSO)同时重建出火焰在这两个高度处的温度和碳黑浓度分布。与Abel逆变换以及Tikhonov正则化算法的对比,表明了SPSO方法在同时重建轴对称火焰温度和碳黑浓度分布时的可行性和有效性。
A portable spectrometer with measurement range of 500～1000 nm was used to scan 30 mm and 50 mm height of ethylene flame and the monochromatic radiation intensities were obtained through calibration in a blackbody furnace.The distributions of temperature and soot volume fraction at the two height of flame were simultaneously reconstructed using the stochastic particle swarm optimizer（SPSO）.In comparison with the Abel inversion algorithm and Tikhonov regularization method,it is proved that SPSO method is feasible and effective on simultaneous reconstruction of temperature and soot volume fraction in axisymmetric flames.
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2011年第5期847-850,共4页
Journal of Engineering Thermophysics
基金
国家自然科学基金资助项目(No.50806026
No.51025622
No.51021065)
关键词
微粒群算法
火焰温度
碳黑浓度
同时重建
particle swarm optimizer
flame temperature
soot volume fraction
simultaneous reconstruction
