【摘要】 飞机蒙皮的老化油漆去除是飞机保养维修的重要步骤。较传统的化学清洗方法，采用激光进行清洗具有效率高，污染小等优势，但较高能量的激光存在过度清洗导致基底损伤的问题，所以对清洗过程的实时监控以便及时对激光器做出反馈非常重要。针对此问题提出了基于声光复合法的实时监测方式，在清洗过程中分别对光和声信号进行采集分析。其中对于光谱检测法，采用了激光诱导击穿光谱对不同漆层的差异元素的不同特征峰进行标定，实现不同漆层的反演；声信号检测法是通过对比分析激光烧蚀不同漆层所产生声信号的强度和频率，进行对应漆层的确定，再通过两种方法的结合对比反推回漆层的清洗情况与去除效果，研究表明声光复合法可以实现激光除漆过程的准确实时监控。更多还原

【Abstract】 The aging paint removal of aircraft skin is an important step in aircraft maintenance and repair.Compared with traditional chemical cleaning methods, laser cleaning has the advantages of high efficiency and low pollution, but the problem of substrate damage caused by excessive cleaning of high-energy laser exists, so it is very important to monitor the cleaning process in real time so as to give feedback to the laser in time. Aiming at this problem, a real-time monitoring method based on acousto-optic composite method is proposed, and the optical and acoustic signals are collected and analyzed respectively in the cleaning process. For the spectral detection method, the laser-induced breakdown spectrum is used to calibrate the different characteristic peaks of different elements in different paint layers to realize the inversion of different paint layers; The acoustic signal detection method is to determine the corresponding paint layer by comparing and analyzing the intensity and frequency of the acoustic signal generated by the laser ablation of different paint layers, and then the cleaning condition and removal effect of the paint layer can be deduced by comparing the two methods. The research shows that the acousto-optic composite method can achieve accurate real-time monitoring of the laser paint removal process.更多还原