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Two-Dimensional Flame Temperature and Emissivity Distribution Measurement Based on Element Doping and Energy Spectrum Analysis

Xuanda Liu, Xiaojian Hao, Bing Xue, Bin Tai, Hanchang Zhou

2020IEEE Access24 citationsDOIOpen Access PDF

Abstract

Most of the existing non-contact flame temperature measurement methods rely on the ideal thermal-optical excitation model, which has a great influence on temperature measurement accuracy. Therefore, based on element doping and energy spectrum analysis, this study proposes a novel two-dimensional (2-D) estimation method for flame temperature and emissivity distribution. The element doping method and laser-induced breakdown spectroscopy (LIBS) are introduced into the temperature field test. The external doped element whose spectral radiation characteristics are easy to be analyzed, is regarded as the measured particles to describe the flame temperature distribution from the side. And LIBS is used to analyze and select the doped element, and further determine the effective working wavelength of the optical camera. Besides, the relationship between spectral radiance and emissivity (L-ε) of doped samples is obtained by the emissivity calibration experiment. Then, the 2-D temperature and emissivity distributions can be estimated. Infrared thermograph is used to verify the accuracy of temperature measurement, the measurement error between calculated and standard values is not more than 5%. The experimental results of the oxygen-ethanol combustion flame show that this method can be well applied to the similar temperature measurement.

Topics & Concepts

EmissivityRadianceMaterials scienceTemperature measurementAdiabatic flame temperatureDopingOpticsCalibrationCombustionSpectral power distributionOptoelectronicsPhysicsChemistryThermodynamicsQuantum mechanicsOrganic chemistryCombustorCombustion and flame dynamicsAdvanced Measurement and Detection MethodsRadiative Heat Transfer Studies
Two-Dimensional Flame Temperature and Emissivity Distribution Measurement Based on Element Doping and Energy Spectrum Analysis | Litcius