Xu Duo, Zhang Weifang, Han Lu, Liu Xuerong, Hu Weiwei
School of Reliability and Systems Engineering, Beihang University, 37 Xueyuan Rd., Haidian District, Beijing 100191, China.
School of Aeronautic Science and Engineering, Beihang University, 37 Xueyuan Rd., Haidian District, Beijing 100191, China.
Materials (Basel). 2022 May 30;15(11):3887. doi: 10.3390/ma15113887.
Aluminum alloy is widely used in aerospace structures. However, it often suffers from a harsh corrosion environment, resulting in different damage such as pitting corrosion, which leads to a reduction in the service life of aerospace structures. In the present study, the pitting corrosion with a radius of 1 mm and a depth of 0.6 mm was manufactured using hydrofluoric (HF) acid on a 2024-T3 aluminum alloy plate (400 mm × 400 mm × 2 mm) to simulate the corrosion state of equipment. A signal acquisition system with a square sensor network of 12 piezoelectric transducers (PZTs) was established. The sensor path weighting reconstruction algorithm for the probabilistic inspection of defects (SPW-RAPID) is proposed based on corrosion damage characteristic parameters including signal correlation coefficient (SDC), root mean squared error (RMSE), and signal energy damage index (1) to explore the monitoring efficacy of pitting corrosion. The sensor path weight , which is the product of value coefficient and impact factor , is established to modify the corrosion damage characteristic parameters. The results indicate that the SPW-RAPID algorithm can improve the accuracy and clarity of image reconstruction results based on SDC, RMSE and 1, which can locate the pitting corrosion with a radius of 1 mm and a depth of 0.6 mm, and the positioning error is controlled within 0.1 mm. The research work may provide an available way to monitor tiny corrosion damage on an aluminum alloy structure.
铝合金广泛应用于航空航天结构中。然而，它常常面临恶劣的腐蚀环境，导致诸如点蚀等不同形式的损伤，进而缩短航空航天结构的使用寿命。在本研究中，在一块2024 - T3铝合金板（400毫米×400毫米×2毫米）上使用氢氟酸制造了半径为1毫米、深度为0.6毫米的点蚀，以模拟设备的腐蚀状态。建立了一个由12个压电传感器（PZT）组成的方形传感器网络的信号采集系统。基于包括信号相关系数（SDC）、均方根误差（RMSE）和信号能量损伤指数（1）在内的腐蚀损伤特征参数，提出了用于缺陷概率检测的传感器路径加权重建算法（SPW - RAPID），以探究点蚀的监测效果。建立了传感器路径权重，其为价值系数和影响因子的乘积，用于修正腐蚀损伤特征参数。结果表明，SPW - RAPID算法能够基于SDC、RMSE和1提高图像重建结果的准确性和清晰度，能够定位半径为1毫米、深度为0.6毫米的点蚀，且定位误差控制在0.1毫米以内。该研究工作可为监测铝合金结构上的微小腐蚀损伤提供一种可行的方法。
