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自适应发射光谱体层析技术重建三维等离子体场
3-D arc plasma fields reconstructions with self-adaptive emission spectral volume tomography algorithm
【摘要】 提出一种基于多目标优化原理的自适应权重因子调节发射光谱体层析图像重建新算法SVRT(Self_adap tiveVolumeReconstructionTechnique)。通过计算机数值模拟,考察了该算法对非对称单峰发射系数场分布的重建效果。结果表明,SVRT算法具有收敛快,重建精度高的特点,仅用两个方向的投影数据就能高精度地重建单峰三维发射系数场分布。作为一个应用实例,结合谱线相对强度测量方法重建了自由电弧等离子体的三维温度场及电离度场分布。
【Abstract】 A novel self_adaptive volume reconstruction technique (SVRT) based on multi_objective optimization was proposed. Its reconstruction results for asymmetrical single_peak emission coefficient field were studied with the numerical simulation of computer. The results show that this algorithm has faster convergences and higher reconstruction precision and has reconstructed asymmetrical single_peak emission coefficient field perfectly with only two views. In the experiment of Argon_arc plasma diagnosis, the 3_D reconstructions of temperature and ionization coefficient fields were fulfilled with this algorithm combining with the spectrum relative_intensity method.
【Key words】 volume computed tomography; plasma diagnosis; image reconstruction; spectrum;
- 【文献出处】 光学技术 ,Optical Technique , 编辑部邮箱 ,2005年03期
- 【分类号】O433.2
- 【被引频次】1
- 【下载频次】122