Nondestructive damage evaluation of composites based on terahertz and X-ray image fusion
文献类型：期刊论文
| 作者 | Wang, Jie2; Xu, Tuo2; Zhang, Li2; Chang, Tianying2; Zhang, Jin2 ; Yan, Shihan1; Cui, Hong-Liang1,2
|
| 刊名 | NDT & E INTERNATIONAL
 |
| 出版日期 | 2022-04-01 |
| 卷号 | 127页码:11 |
| 关键词 | Glass fiber reinforced polymer composites Terahertz NDT X-ray NDT Image fusion Objective evaluation |
| ISSN号 | 0963-8695 |
| DOI | 10.1016/j.ndteint.2022.102616 |
| 通讯作者 | Zhang, Jin(zhangjin0109@jlu.edu.cn) |
| 英文摘要 | Inspection of thin and multi-depth delamination and foreign inclusion defects inside glass fiber reinforced polymer (GFRP) composites is a challenge for traditional non-destructive testing (NDT) techniques. Terahertz (THz) and X-ray computed tomography (CT) are two prevalent NDT methods, which also have their unique advantages and relative weakness individually. Specifically, in our previous study, it is found that THz NDT method has a higher contrast and X-ray CT NDT method has a higher resolution for detecting defects in GFRP composites. In this paper, a new fusion algorithm applied to the THz and X-ray CT NDT imaging data, based on the combination of saliency region analysis (SRA) and wavelet based multi-scale transforms (W-MST) is proposed to detect delamination and inclusion defects of GFRP composites. Moreover, the strategy of weighted least square optimization (WLSO) is adopted to eliminate the effects of unregistered images. An exhaustive number of combinations (36 in total) of the proposed fusion algorithm, which include the selection of fusion rules for sa-liency map, wavelet decomposition levels and wavelet basis functions, have been quantitively compared using objective evaluation indices such as standard deviation (SD) and spatial frequency (SF) to quantify the improvement of detection effect in terms of contrast and resolution. Among them, there are five optimal com-binations applicable to five pairs of different source images, and the averages of the SD and SF indicators of fused images have increased by 126% and 190% compared with the source images, respectively. The inspection ef-ficacy of defects using the proposed fusion method has been analyzed visually, showing that the new approach can effectively accentuate the complementary advantages of THz and X-ray NDT methods, resulting in quanti-fiably improved defect inspections. |
| 资助项目 | Natural Science Foundation of Shan-dong Province[ZR2020KF007] ; Natural Science Foundation of Shan-dong Province[ZR2020QF089] ; Major Sci-entific and Technological Innovation Projects of Shandong Province[2019JZZY010448] |
| WOS研究方向 | Materials Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000778271300001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/15584]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Zhang, Jin |
| 作者单位 | 1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing, Peoples R China 2.Jilin Univ, Coll Instrumentat & Elect Engn, Changchun, Jilin, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Jie,Xu, Tuo,Zhang, Li,et al. Nondestructive damage evaluation of composites based on terahertz and X-ray image fusion[J]. NDT & E INTERNATIONAL,2022,127:11. |
| APA | Wang, Jie.,Xu, Tuo.,Zhang, Li.,Chang, Tianying.,Zhang, Jin.,...&Cui, Hong-Liang.(2022).Nondestructive damage evaluation of composites based on terahertz and X-ray image fusion.NDT & E INTERNATIONAL,127,11. |
| MLA | Wang, Jie,et al."Nondestructive damage evaluation of composites based on terahertz and X-ray image fusion".NDT & E INTERNATIONAL 127(2022):11. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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