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On the automation of thermographic phosphor calibration

机译:关于热成像荧光粉校准的自动化

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Thermographic phosphors cab be robust temperature remote sensors. The accuracy of the temperature measured by the phosphor is highly dependent on the quality of the phosphor calibration used. Conventionally, thermographic phosphors are calibrated by measuring a series of decay curves at known stable oven temperatures. The process is then repeated covering the thermal sensitivity range of the phosphor chosen. Heating and cooling rates of high temperature ovens are usually low. Also, thermal equilibrium of the system is required at each calibration temperature before acquiring luminescence decay curves. Thus, the process is usually time consuming and the number of calibration points achieved is limited to a couple of dozen points. This study presents and validates the development of an automatic routine for the calibration of thermographic phosphors. It was designed to continuously and simultaneously acquire phosphor decay curves along with their corresponding thermocouple temperatures. The developed routine required software and hardware improvements. An updated design of the calibration substrate was implemented to improve the thermal conditions during calibration. Thermal gradients were further studied using a heat transfer model. The routine implemented a specially designed sparsing algorithm that reduced the sampling rate of the decaying luminescence curve without influencing the calculated decay time. The upper heating rate is set at 4 K.min−1 due to limitation imposed by the ceramic calibration oven. The phosphors CdWO4 and Mg3F2GeO4:Mn were chosen to validate the finalized routine. After the completion of the calibration process, a library-based calibration is created as the final product. The automated calibration routine delivered an overall accuracy improvement of 1–2 K, reduced calibration duration by factor of four and provided the possibility of deriving signal recognition algorithms- The condensed calibration dataset produced by the proposed calibration routine was further employed to develop a novel signal shape recognition algorithm for temperature evaluation.
机译:热成像荧光粉可以是坚固的温度远程传感器。磷光体测量的温度精度高度依赖于所用磷光体校准的质量。常规地,通过在已知的稳定烘箱温度下测量一系列衰减曲线来校准热成像磷光体。然后重复该过程,覆盖所选荧光粉的热敏范围。高温烤箱的加热和冷却速率通常较低。另外,在获取发光衰减曲线之前,需要在每个校准温度下使系统达到热平衡。因此,该过程通常很耗时,并且获得的校准点的数量限制为几十个点。这项研究提出并验证了用于热成像荧光粉校准的自动程序的开发。它旨在连续并同时获取磷光体衰减曲线及其相应的热电偶温度。开发的例程需要对软件和硬件进行改进。实施了校准基板的更新设计,以改善校准期间的热条件。使用传热模型进一步研究了热梯度。该例程实施了一种特殊设计的稀疏算法,该算法在不影响计算的衰减时间的情况下降低了衰减发光曲线的采样率。由于陶瓷校准炉的限制,最高加热速率设置为4 K.min-1。选择荧光粉CdWO4和Mg3F2GeO4:Mn来验证最终程序。校准过程完成后,将创建基于库的校准作为最终产品。自动校准程序可将整体精度提高1-2 K,将校准持续时间缩短四倍,并提供了导出信号识别算法的可能性-进一步采用了建议的校准程序产生的压缩校准数据集来开发新型信号形状识别算法进行温度评估。

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