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基于平面电容层析成像的复合材料无损检测灵敏度矩阵

张玉燕, 任萍, 王震宇, 孙东涛, 温银堂

张玉燕, 任萍, 王震宇, 孙东涛, 温银堂. 基于平面电容层析成像的复合材料无损检测灵敏度矩阵[J]. 无损检测, 2018, 40(11): 45-49. DOI: 10.11973/wsjc201811012
引用本文: 张玉燕, 任萍, 王震宇, 孙东涛, 温银堂. 基于平面电容层析成像的复合材料无损检测灵敏度矩阵[J]. 无损检测, 2018, 40(11): 45-49. DOI: 10.11973/wsjc201811012
ZHANG Yuyan, REN Ping, WANG Zhenyu, SUN Dongtao, WEN Yintang. Sensitivity Matrix for Composite Materials Nondestructive Detection Based on Planar ECT[J]. Nondestructive Testing, 2018, 40(11): 45-49. DOI: 10.11973/wsjc201811012
Citation: ZHANG Yuyan, REN Ping, WANG Zhenyu, SUN Dongtao, WEN Yintang. Sensitivity Matrix for Composite Materials Nondestructive Detection Based on Planar ECT[J]. Nondestructive Testing, 2018, 40(11): 45-49. DOI: 10.11973/wsjc201811012

基于平面电容层析成像的复合材料无损检测灵敏度矩阵

基金项目: 

河北省自然科学基金资助项目(E2017203240)

详细信息
    作者简介:

    张玉燕(1976-),女,博士,教授,主要研究方向为电容成像传感技术与结构健康监测

    通讯作者:

    张玉燕, E-mail:yyzhang@ysu.edu.cn

  • 中图分类号: TG115.28

Sensitivity Matrix for Composite Materials Nondestructive Detection Based on Planar ECT

  • 摘要: 提出了一种用于热防护材料无损检测的平面阵列电容层析成像(ECT)传感方法,该方法能在有限的接近范围内检测目标对象。研究了一种12电极平面的ECT系统,并利用ANSYS软件建立了仿真模型。在图像重建的过程中,灵敏度矩阵是必不可少的。为了优化灵敏度矩阵,讨论了敏感场介电常数和重建图像切片层的影响。试验结果表明,不同切片层的重建图像差异较大,第二层图像质量最高,而介电常数的变化对检测结果影响不大。
    Abstract: A promising method of planar array electrical capacitance tomography(ECT) for thermal protection materials nondestructive detection is presented. This method can detect targeted object only from a limited access. In this study, a planar ECT system with 12 electrodes has been developed for experiment and its simulation model also has been built by using ANSYS. The sensitivity matrix is essential and fundamental in the process of image reconstruction. To optimize the sensitivity matrix, the influences of permittivity of sensitive filed and selection of section for reconstruction image have been discussed. The experimental results show that there exist great differences in reconstruction images for different sections and the image quality of the second layer is the highest, whereas the change of permittivity has little influence on detection results.
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出版历程
  • 收稿日期:  2018-07-04
  • 刊出日期:  2018-11-09

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