Liu Menglong, Xiao Hai, Hu Qi, Zhang Zhen, Leung Chung Ming
School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, PR China.
School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, PR China.
Ultrasonics. 2021 Sep;116:106467. doi: 10.1016/j.ultras.2021.106467. Epub 2021 May 21.
Fiber reinforced polymers (FRPs) are increasingly used in thick primary load-bearing structures. Nevertheless, manufacturing and in-service defects occur with a higher chance as the FRP thickness increases and thus the potential structure defects should be detected and evaluated. To image defects in thick FRP over 10 mm thick, this study proposes a frequency-and-structure dependent time-corrected ultrasonic total focusing method (FS-TFM) based on Floquet wave theory, which differs from conventional TFM that the wave velocity correction along different propagation direction bases on not only the structural anisotropy and inhomogeneity of FRP, but also on the probing frequency. First an analytical Floquet-wave-based dynamic homogenization for a crossply FRP laminate is performed, to obtain the homogenization region and then the wave anisotropy and dispersion therein. Then numerical finite element analysis follows, to further interrogate the time domain feature of wave signals. With the understanding of wave propagation, by accurately correcting the wave velocity anisotropy related to both the inspected crossply FPR and wave frequency, the FS-TFM imaging technique is proposed to focus the defect-scattered wave energy on the defect location. In addition, the signal-to-noise ratio (SNR) analysis of side-drilled-hole (Ø2 mm) imaging via different imaging algorithms shows that the proposed FS-TFM achieves the highest SNR at the frequency approaching the upper limit of the homogenization region. Finally, the experimental validation further indicates the potential of the proposed FS-TFM for accurate defect imaging in thick FRP.
纤维增强聚合物(FRP)越来越多地用于厚的主要承重结构中。然而,随着FRP厚度的增加,制造和服役缺陷出现的可能性更高,因此应检测和评估潜在的结构缺陷。为了对厚度超过10毫米的厚FRP中的缺陷进行成像,本研究提出了一种基于弗洛凯波理论的频率和结构相关的时间校正超声全聚焦方法(FS-TFM),它与传统的TFM不同,沿不同传播方向的波速校正不仅基于FRP的结构各向异性和不均匀性,还基于探测频率。首先对正交铺层FRP层合板进行基于弗洛凯波的解析动态均匀化,以获得均匀化区域,进而得到其中的波各向异性和频散。然后进行数值有限元分析,进一步探究波信号的时域特征。在了解波传播的基础上,通过精确校正与被检测的正交铺层FPR和波频率相关的波速各向异性,提出了FS-TFM成像技术,将缺陷散射波能量聚焦在缺陷位置。此外,通过不同成像算法对侧钻孔(Ø2毫米)成像的信噪比(SNR)分析表明,所提出的FS-TFM在接近均匀化区域上限的频率处实现了最高的SNR。最后,实验验证进一步表明了所提出的FS-TFM在厚FRP中进行精确缺陷成像的潜力。