Identificación de aceros por espectroscopia de rompimiento inducido por láser (LIBS) y análisis de componentes principales

Abstract

Nowadays there exist more than 100 000 different types of steels according to their chemical and physical properties. Nevertheless there is not a unique method capable to identify or classify any sample of steel according to its class or grade. In this work it is described a method capable to identify and classify steels due to the chemical composition determination. The proposed method is based in the analysis of atomic spectra by Laser Induced Breakdown Spectroscopy (LIBS) and Principal Component Analysis (PCA). For steels from different classes it is possible to discriminate them due to their chemical composition. For steels from the same class but different grade, the information on the spectra is not sufficient for a satisfactory discrimination because of the relatively low difference in composition ($<0.5$%); however, discrimination of all analyzed samples is possible using PCA.