含涂覆层不锈钢废料LIBS光谱采集方法研究OA

To address the issue of coating interference in spectral detection during stainless steel waste recycling,this study proposes a coating identification and dynamic detection method based on laser-in-duced breakdown spectroscopy technology.This method utilizes single-point,continuous laser pulses to construct a dynamic detection criterion,based on the sliding window statistical characteristics by monito-ring the relative intensity changes between coating characteristic elements and matrix iron elements.On this basis,a dual stability condition was set with a standard deviation to mean ratio of less than 0.1 and a standard deviation change rate of less than 0.01,achieving adaptive locking of the coating breakdown time.The results showed that for the samples containing paint and coating,the breakthrough was precisely iden-tified at the 31st and 35th pulses,respectively.At these points,the relative strength fluctuation indicators were as low as 0.062 7 and 0.087 3,with the standard deviation changes of-0.005 81 and 0.001 27,re-spectively,all satisfying the established stability conditions.This verifies that the method can effectively a-void signal fluctuation interference,providing reliable technical support for efficient spectral acquisition of stainless steel waste.