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火焰温度是燃烧诊断的重要参数之一,它对研究各种燃烧过程具有重要价值。根据多光谱辐射测温所用的参考温度数学模型,提出了一种基于遗传算法的新的数据处理方法。该方法对火焰发射率与波长的关系依次进行了三点直线拟合,并通过遗传算法进行了优化,从而得到了发光火焰的温度和发射率。采用多波长高温计测量了某种固体推进剂燃烧火焰的自辐射光谱,并进行了数据处理。计算结果表明:火焰温度计算值与理论值之差在±100K以内;这种基于遗传算法的新的数据处理方法是测量发光火焰温度的一种可行性方法。
Flame temperature is one of the most important parameters in combustion diagnosis, which is of great value for studying various combustion processes. According to the reference temperature mathematical model used in multispectral radiation temperature measurement, a new data processing method based on genetic algorithm is proposed. In this method, the relationship between the emissivity and the wavelength of the flame was linearly fitted by three points in sequence and optimized by the genetic algorithm to obtain the temperature and the emissivity of the luminous flame. The multi-wavelength pyrometer was used to measure the self-radiation spectrum of a certain solid propellant combustion flame and the data processing was carried out. The calculated results show that the difference between calculated and theoretical flame temperature is within ± 100K. This new data processing method based on genetic algorithm is a feasible method to measure the temperature of luminous flame.