基于LIBS数据流盘的飞机蒙皮激光除漆在线监测判据研究  

Research on Online Monitoring Criteria of Aircraft Skin Laser Paint Removal Based on LIBS Data Flow Disk

作　　者：杨文锋[1] 李果 林德惠 钱自然 李绍龙 左都全 郑鑫 王迪升 YANG Wen-feng;LI Guo;LIN De-hui;QIAN Zi-ran;LI Shao-long;ZUO Du-quan;ZHENG Xin;WANG Di-sheng(Civil Aircraft Composite Materials Research Center,Civil Aviation Flight University of China,Guanghan 618307,China)

机构地区：[1]中国民用航空飞行学院民机复合材料研究中心,四川广汉618307

出　　处：《光谱学与光谱分析》2024年第8期2340-2348,共9页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金面上项目(52275165);德阳市科技计划重点研发项目(2022GZ011);四川省通用航空器维修工程技术研究中心项目(GAMRC2021YB07)资助。

摘　　要：等离子体产生及演化过程易受基体效应、环境噪声、脉冲能量抖动等影响,导致光谱数据具有不稳定性,从而难以保证以单条谱线为依据建立的监测判据的有效性。以连续多幅LIBS光谱为对象,并结合统计学方法建立的监测判据,可有效提升基于LIBS技术的除漆效果监测精度。论文基于搭建的高频纳秒红外脉冲激光除漆LIBS在线监测平台,实时采集了除漆过程的连续多幅LIBS光谱。光谱数据经基线矫正、归一化预处理后,依据面漆、底漆、铝合金基体光谱特征峰差异,并结合材料成分信息,选定BaⅠ(712.55 nm)、CrⅠ(357.48 nm)、CrⅠ(425.43 nm)、TiⅠ(427.45 nm)、CuⅡ(309.76 nm)、CuⅠ(484.22 nm)6条谱线作为特征谱线并监测除漆效果。研究不同除漆效果中6条特征谱线强度变化规律,建立不同除漆效果与所选特征谱线强度变化区间的映射关系。提取每幅谱线的上述6条特征谱线强度作为一组数据单元、将连续10幅谱线的数据单元作为一组数据集,除漆过程中随时间变化的每10组迭代数据集称为数据流盘。对数据流盘中的数据单元、数据集进行分析,结合置信区间,实时判定除漆区域除漆效果,获得基于数据流盘的监测判据。结果表明:该判据可有效监测仍在面漆、面漆完全去除、仍在底漆、底漆完全去除、基体损伤5类除漆效果。依据SRM手册对漆层去除效果的要求,选择面漆完全去除、基体损伤两类除漆效果展示了验证过程,三维微观形貌分析结果与LIBS数据流盘监测判据所得除漆效果结论一致。其中,面漆去除后三维微观形貌分析表明,面漆完全去除精度达1.2μm,有效验证了基于LIBS数据流盘监测判据的适用性及稳定性。The plasma generation and evolution processes are susceptible to matrix effects,environmental noise,pulse energy jitter,etc.,resulting in the instability of the spectral data,which makes it difficult to ensure the validity of the monitoring criterion established based on a single spectral line.The monitoring criterion established by continuous multiple LIBS spectra combined with statistical methods can effectively improve the monitoring accuracy of paint removal based on LIBS technology.Based on a high-frequency nanosecond infrared pulsed laser paint removal LIBS online monitoring platform,the paper collected continuous multiple LIBS spectra of the paint removal process in real-time.After the spectral data were pre-processed by baseline correction and normalization,the spectral peaks of BaⅠ(712.55 nm),CrⅠ(357.48 nm),CrⅠ(425.43 nm),TiⅠ(427.45 nm),CuⅡ(309.76 nm),CuⅠ(484.22 nm)were used as the characteristic spectral lines and the paint removal effect was monitored.The intensity variation of the six characteristic spectral lines in different paint removal effects was studied,and the mapping relationship between different paint removal effects and the intensity variation of the selected characteristic spectral lines was established.The intensity of the above 6 spectral lines for each spectrum is extracted as data units.The data units of 10 consecutive spectral lines are used as data sets,and the data sets of each 10 iterations of the paint removal process are called data flow disks.The data cells and data sets in the data flow disk are analyzed.The confidence intervals are combined to determine the paint removal effect in the paint removal area in real-time.The monitoring criterion based on the data flow disk is obtained.The results show that this criterion can effectively monitor the paint removal effect in five categories:still on the top coat,completely removed top coat,still on the bottom coat,completely removed bottom coat,and substrate damage.The three-dimensional micro-pattern analysis showed that

关 键 词：激光除漆 激光诱导击穿光谱 数据流盘 监测判据 除漆效果 

分 类 号：TN249[电子电信—物理电子学]