激光诱导击穿光谱技术识别航空合金牌号

Laser-induced breakdown spectroscopy (LIBS) has become a popular analytical technique on metal materials such as steel and aluminum alloys for its multi-element, highly sensitive and non-contact measurement. To apply LIBS for high accuracy identification of aerial alloy grades, six different grades of aerial alloys were measured. A 1 064 nm Nd:YAG laser was used as the excitation source. 100 sets of spectra for each alloy were collected, and each set of spectra was the average result of 100 laser pulses. The spectra of aerial alloy were divided into training set and test set in ratio of 7:3. Then the partial least squares discriminant analysis (PLS-DA) model was established to identify the aerial alloy LIBS by full spectrum data and characteristic line data respectively. Both the two models obtained 100% recognition accuracy for the training set and test set. The result showed that the combination of LIBS and chemometrics could identify aerial alloy grades successfully. In addition, the PLS-DA model based on characteristic spectral line data could achieve the same results as the full spectrum data model with less data input. This work could provide a methodological reference for applying LIBS to on-site inspection of aerial alloys.