Experimental Methods Of Dual-pulse Laser-induced Breakdown Spectroscopy And Data Processing Analysis

Laser-induced Breakdown Spectroscopy(LIBS) is developed in recent decades. Based on atomic emission spectral analysis technology, its basic principle is that one laser beam focuse to hit the material sample surface,ablating the sample to generate a plasma, then collecte the spectrum through a spectrometer,using PC softwares to do real-time spectral analysis of atomic and ionic spectral lines or convey qualitative or quantitative analysis. As a spectral detection method with rapid development, laser-induced breakdown spectroscopy has many advangtages: quick analysis speed、damage small、stand-off detection、untouch analysis,and also useful to do situ-detection against solid、liquid and gas.In this thesis we set up a reheat double pulse laser-induced breakdown spectroscopy experiment system in a lab environment, compares the signal strength of single pulse laser-induced breakdown spectroscopy and double pulse laser-induced breakdown spectroscopy, and studies the beam angles’ influences on the spectral signal of dual-pulse system.In the aspect of data processing method, this article has carried on the research of sample classification model adaptability, respectively, used the partial least squares method and artificial neural networks to create classification models,and used the spectral data collected under different excitation conditions to validate the adaptability of two kinds of models.