太赫兹辐射
材料科学
连续波
微测辐射热计
光学
衍射
图像处理
分层(地质)
持续监测
光电子学
陶瓷基复合材料
无损检测
陶瓷
热的
基质(化学分析)
太赫兹光谱与技术
可靠性(半导体)
光纤
数据采集
声学
基点
复合材料
极高频率
平面波
数据处理
红外线的
计算机科学
作者
Wenna Zhang,Bei Jia,Youxing Chen,Zhaoba Wang,Kailiang Xue
出处
期刊:Photonics
[Multidisciplinary Digital Publishing Institute]
日期:2026-02-27
卷期号:13 (3): 231-231
标识
DOI:10.3390/photonics13030231
摘要
Ceramic Matrix Composites (CMC) are widely used in critical applications such as leading edges of aircraft wings and thermal insulation layers of thermal protection systems due to their advantages of being lightweight, high-temperature resistant, and impact-resistant. However, influenced by manufacturing processes and service environments, internal defects such as pores and delamination are prone to occur, significantly compromising the mechanical properties and service reliability of the material. This paper primarily evaluates the feasibility and applicability of using Terahertz Frequency Modulated Continuous Wave (FMCW) technology for the non-contact detection of CMC. First, the measurement principle of FMCW is introduced, and the structure of the detection system, including a two-dimensional mechanical scanning platform, optical lenses, a control platform, and a data acquisition unit, is outlined. Subsequently, scanning imaging was performed on CMC specimens and their bonded thermal protection structure (TPS) specimens, demonstrating the feasibility of Terahertz FMCW technology as an advanced non-destructive testing tool for CMC inspection. The issues of diffraction and the Rayleigh limit inherent in real-aperture terahertz imaging were analyzed and discussed. A multi-scale fusion defect detection method incorporating background estimation is proposed to enable precise delineation of defect regions. Experimental results show that, after processing with the proposed algorithm, the minimum detectable pore diameter at the focal plane is 1 mm, with a regional error of approximately 3%. The detection error for pores and debonding areas in CMC is maintained within 6.44%. Analysis indicates that combining terahertz imaging technology with image processing algorithms enables the quantitative analysis of internal defects in composite materials, offering a new technical approach for defect detection in composite materials.
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