跳到主要导航 跳到搜索 跳到主要内容

SiCf/SiC 陶瓷基复合材料分层缺陷低频超声识别优化

  • Jie Wu
  • , Tao Liu
  • , Chengyu Liang
  • , Chao Chen
  • , Hui Mei
  • Northwestern Polytechnical University Xian
  • Aecc South Industry Company Limited

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

Ceramic matrix composites (CMC) are prone to internal defects during manufacturing, which significantly affect their performance. Ultrasonic detection has been widely used for detecting such defects. However, the numerous woven pores within CMC cause severe attenuation of ultrasonic waves, particularly at high frequencies. To ensure adequate signal penetration, lower frequencies are often employed, although this compromises the accuracy of defect detection. This study employed finite element simulations to analyze the propagation characteristics and acoustic field distributions of three different low-frequency ultrasonic waves in CMC, with the goal of identifying the optimal frequency for detecting delamination defects. The finite element results demonstrate that, compared to 0.5 MHz and 2 MHz, 1 MHz ultrasound effectively reduces scattering effects while enhancing detection accuracy. Subsequently, SiCf/SiC CMC specimens with artificial defects were inspected using the selected frequency. Results indicate that 1 MHz ultrasound effectively reduces attenuation and interference with ultrasonic signals caused by the woven pores within CMC, enabling reliable detection of delamination defects larger than 2 mm.

投稿的翻译标题Optimization of low-frequency ultrasonic detection of delamination in SiCf/SiC ceramic matrix composites
源语言繁体中文
页(从-至)3129-3137
页数9
期刊Fuhe Cailiao Xuebao/Acta Materiae Compositae Sinica
43
5
DOI
出版状态已出版 - 5月 2026

关键词

  • ceramic matrix composites
  • delamination defects
  • finite element simulation
  • non-destructive testing
  • ultrasound

指纹

探究 'SiCf/SiC 陶瓷基复合材料分层缺陷低频超声识别优化' 的科研主题。它们共同构成独一无二的指纹。

引用此