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Experimental Investigation of Emissivity of Aluminum Alloys and Application of Multispectral Radiation Thermometry

机译:铝合金发射率的实验研究及多光谱辐射测温的应用

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Experiments were first conducted to measure the spectral normal emissivity values of a variety of aluminum alloys at 600, 700, and 800 K. Multispectral radiation thermometry (MRT) using linear emissivity models (LEM) and log-linear emissivity models (LLE) were then applied to predict surface temperature. Results show that the spectral emissivity decreases with increasing wavelength and increases with increasing temperature. Alloy effect becomes evident at higher temperature. The surface oxidation becomes fully-developed after the first hour heating and results in constant emissivity. Half of temperature predictions by MRT emissivity models provide the absolute temperature error under 10% and a quarter if the results are under 5%. The better emissivity model to suitably represent the real surface emissivity behaviors the more accurate inferred temperature by MRT can be achieved. Increasing the order of emissivity model and increasing the number of wavelengths cannot improve temperature measurement accuracy. More accurate temperature measurement by MRT can be achieved at higher temperature. Overall, three emissivity models give good results most frequently and provide the best compensation for different alloys, the number of wavelengths, and temperatures.
机译:首先进行实验以测量600、700和800 K时各种铝合金的光谱法线发射率值。然后,使用线性发射率模型(LEM)和对数线性发射率模型(LLE)进行多光谱辐射测温(MRT)。用于预测表面温度。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。在较高温度下,合金作用变得明显。在加热第一个小时后,表面氧化充分发展,并导致恒定的发射率。 MRT发射率模型预测的温度的一半提供的绝对温度误差在10%以下,而结果在5%以下的则提供四分之一。更好地代表真实表面发射率行为的发射率模型越好,则可以通过MRT推断出更准确的温度。增加发射率模型的阶数和增加波长数不能提高温度测量精度。在更高的温度下,可以通过MRT进行更精确的温度测量。总体而言,三种发射率模型最常给出良好的结果,并针对不同的合金,波长数量和温度提供最佳补偿。

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