基于激光诱导击穿光谱技术在线监测碳纤维复合材料激光清洗效果

Online Monitoring of Laser Cleaning Effect of Carbon Fiber Composite Materials Based on Laser-Induced Breakdown Spectroscopy Technology

结合激光诱导击穿光谱(LIBS)技术,设计激光清洗在线监测系统以实时监测激光清洗的质量。实验所用的激光器为光纤激光器,其可以在多维空间中加工应用。首先确定激光清洗速度,并研究LIBS随激光单脉冲能量密度的变化规律,用来表征碳纤维复合材料清洗的效果。然后在数据分析的处理上,采用均值平滑去除背景的方法处理包络状的光谱连续背景;采用DBSCAN(Density-Based Spatial Clustering of Applications with Noise)算法实现光谱噪声和有效数据的分离;采用皮尔逊系数分析的方法确定激光清洗的最佳烧蚀次数,为激光清洗实现过程自动优化控制提供判定依据。最后采用扫描电子显微镜分析碳纤维表面形貌特征,证实LIBS技术在线监测激光清洗效果的有效性。

Combined with laser-induced breakdown spectroscopy(LIBS)technology,the laser cleaning online monitoring system is designed to monitor the quality of laser cleaning in real time.The fiber laser uses in the experiment can be processed and applied in a multidimensional space.First,we determine the laser cleaning speed value and study the change law of LIBS with laser single pulse energy density,which can characterize the cleaning effect of carbon fiber composite materials.Then,during data analysis processing,the method of removing the background by mean smoothing is used to process the continuous background of the envelope-like spectrum.The density-based spatial clustering of applications with noise algorithm is used to realize the separation of spectral noise and effective data.The Pearson coefficient analysis method determines the best ablation times for laser cleaning,and provides a basis for the automatic optimization control of the laser cleaning process.Finally,a scanning electron microscope is used to analyze the surface morphology of the carbon fiber,which confirmes the effectiveness of LIBS technology to monitor the laser cleaning effect online.