Possibilities and limitations of the ART-Sample algorithm for reconstruction of 3D temperature fields and the influence of opaque obstacles.

Possibilities and limitations of the ART-Sample algorithm for reconstruction of 3D temperature fields and the influence of opaque obstacles.
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DOI:
10.1016/j.ijheatmasstransfer.2013.03.026
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发表时间:
2013-07-01
影响因子:
5.2
通讯作者:
Herman, Cila
Herman, Cila
中科院分区:
工程技术2区
文献类型:
--
作者:
Li, Yuanyang;Herman, Cila

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复杂的,不稳定的,三维(3D)的温度分布的测量的需要出现在各种工程应用中,和层析成像技术被应用于实现这一目标。全息干涉测量(HI),用于可视化温度场的光学方法之一,结合层析重建技术,需要多方向的干涉数据来恢复的3D信息。然而,测量体积中不透明障碍物(诸如流场中的固体物体和加热器)的存在防止探测光束穿过整个测量体积。因此,在位于障碍物阴影中的区域中,关于场变量的平均值的信息将丢失。本文讨论了ART采样层析重建方法在无障碍温度场和存在不透明障碍物的情况下恢复3D温度分布的能力。开发了一个由二维投影重建三维温度场的计算机程序。在本文中,重建精度定量讨论了无障碍物和有障碍物的测量体积为一组模拟现实的温度分布的幻影功能。重建性能进行了优化,同时最大限度地减少照射方向(实验硬件要求)和计算工作量的数量。对于有障碍物和无障碍物的光滑温度场,该算法产生的重建是好的,无论是在视觉上还是使用定量标准。结果表明,障碍物的位置和大小以及观察方向的数量将影响温度场的重建。将本文确定的ART-Sample算法的最佳性能参数用于三维温度场重建时,有无障碍物的三维重建效果都很好,且障碍物对重建结果的影响很小。结果表明,ART-Sample算法可以成功地恢复瞬时三维温度分布的不透明障碍物的存在下,只有4个观察方向。
The need for the measurement of complex, unsteady, three-dimensional (3D) temperature distributions arises in a variety of engineering applications, and tomographic techniques are applied to accomplish this goal. Holographic interferometry (HI), one of the optical methods used for visualizing temperature fields, combined with tomographic reconstruction techniques requires multi-directional interferometric data to recover the 3D information. However, the presence of opaque obstacles (such as solid objects in the flow field and heaters) in the measurement volume, prevents the probing light beams from traversing the entire measurement volume. As a consequence, information on the average value of the field variable will be lost in regions located in the shade of the obstacle. The capability of the ART-Sample tomographic reconstruction method to recover 3D temperature distributions both in unobstructed temperature fields and in the presence of opaque obstacles is discussed in this paper. A computer code for tomographic reconstruction of 3D temperature fields from 2D projections was developed. In the paper, the reconstruction accuracy is discussed quantitatively both without and with obstacles in the measurement volume for a set of phantom functions mimicking realistic temperature distributions. The reconstruction performance is optimized while minimizing the number of irradiation directions (experimental hardware requirements) and computational effort. For the smooth temperature field both with and without obstacles, the reconstructions produced by this algorithm are good, both visually and using quantitative criteria. The results suggest that the location and the size of the obstacle and the number of viewing directions will affect the reconstruction of the temperature field. When the best performance parameters of the ART-Sample algorithm identified in this paper are used to reconstruct the 3D temperature field, the 3D reconstructions with and without obstacle are both excellent, and the obstacle has little influence on the reconstruction. The results indicate that the ART-Sample algorithm can successfully recover instantaneous 3D temperature distributions in the presence of opaque obstacles with only 4 viewing directions.
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