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Study of Steel Emissivity Characteristics and Application of Multispectral Radiation Thermometry (MRT)

机译:钢辐射率特性研究及多光谱辐射测温法(MRT)的应用

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摘要

Experiments were first conducted to measure the emissivity values of a variety of steel samples at 700, 800, and 900 K. The effects of wavelength, temperature, alloy composition, and heating time on emissivity were investigated. Multispectral radiation thermometry (MRT) with linear emissivity models (LEMs) and log-linear emissivity models (LLEs) were then applied to predict surface temperature. Parametric influences of the number of wavelengths and order of emissivity models were examined. Results show that the spectral emissivity decreases with increasing wavelength and increases with increasing temperature. Steel with higher chromium content has lower emissivity value because of the chromium oxide protection layer. The spectral emissivity reaches steady state after the third hour heating due to the surface oxidation becoming fully developed. Increasing the order of polynomial and increasing the number of wavelengths cannot improve temperature measurement accuracy. Overall, the first-order LEM and the first-order LLE showed the best accuracy for different alloys, the number of wavelengths, and temperatures.
机译:首先进行实验以测量700、800和900 K下各种钢样品的发射率值。研究了波长,温度,合金成分和加热时间对发射率的影响。然后,将具有线性发射率模型(LEM)和对数线性发射率模型(LLE)的多光谱辐射测温(MRT)应用于预测表面温度。研究了波长数量和发射率模型顺序的参数影响。结果表明,光谱发射率随波长增加而降低,随温度升高而增加。铬含量较高的钢由于氧化铬保护层而具有较低的发射率值。加热第三小时后,由于表面氧化变得完全,光谱发射率达到稳态。增加多项式的阶数和增加波长数不能提高温度测量精度。总体而言,一阶LEM和一阶LLE对不同的合金,波长数量和温度显示出最佳精度。

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