Application of Spectral Remote‐Sensing Method for Recovering Temperature Distribution in Glass

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Abstract
A method for recovering the temperature distribution in glass from remotely sensed spectral emission data was studied. The temperature distribution, which was related analytically to the spectral emerging intensity, was determined by an optimization technique that minimizes the difference between measured and calculated emissions. The method was evaluated by measuring spectral emission from heated glass using both a spectrometer and a spectroradiometer. Data were taken from 600 to 900 K for window glass samples with different back‐surface boundary conditions. The recovered temperature profiles obtained using data from both measuring instruments were compared with each other and with temperature profiles predicted from a combined conduction‐radiation heat‐transfer analysis. When only 2 unknown coefficients were used to represent the temperature distribution, the recovered and predicted profiles agreed within 1%.

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