Classification of Aviation Alloys Using Laser-Induced Breakdown Spectroscopy Based on a WT-PSO-LSSVM Model

Abstract

It is well-known that aviation alloys of different grades show large differences in mechanical properties. At present, alloys must be strictly distinguished in the manufacturing plant because their close appearance and density are easily confused In this work, the wavelet transform (WT) method combined with the least squares support vector machine (LSSVM) is applied to the classification and identification of aviation alloys by laser-induced breakdown spectroscopy (LIBS). This experiment employed six different grades of aviation alloy as the classification samples and obtained 100 sets of spectral data for each sample. This research included the steps of preprocessing the obtained spectral data, model training, and parameter optimization. Finally, the accuracy of the training set was 99.98%, and the accuracy of the test set was 99.56%. Therefore, it is concluded that the model has superior generalization capacity and portability. The result of this work illustrates that LIBS technology can be adopted for the rapid identification of aviation alloys, which is of great significance for on-site quality control and efficiency improvement of aerospace parts manufacturing.

Development and Optimization of a Novel Soft Sensor Modeling Method for Fermentation Process of Pichia pastoris

“…In addition, the fermentation process has strong nonlinear characteristics. In light of the favorable performance of LSSVM in solving small sample, nonlinear, and high-dimensional regression tasks [31] and its fast solution speed and robust fitting ability, this paper applied LSSVM to soft sensor modeling of Pichia pastoris fermentation.…”

Microstructure classification of steel samples with different heat-treatment processes based on laser-induced breakdown spectroscopy (LIBS)

“…This technological marvel nds ubiquitous application in diverse domains, including industrial inspection, 1 deep-sea exploration, 2 geological exploration, 3 biomedicine, 4 food safety, 5 and preservation of cultural heritage. 6 Notably, in the realm of industrial inspection, it serves as a discerning instrument for coal analysis, 7 alloy categorization, 8 and metallurgical analysis. 9 In the eld of metallurgical analysis, steel stands as a paramount metallic substance widely utilized in both industrial and everyday settings.…”

Laser-Induced Breakdown Spectroscopy Analysis of Sheet Molding Compound Materials

“…Furthermore, the high brightness, high coherence, and low divergence exhibited by lasers make it easy for the laser beam to be focused at very high power over very long distances onto extremely small points [3], enabling long-distance detection to be possible. Since its introduction in the late 1980s, LIBS technology has been successfully applied in industrial diagnostics [4,5], agricultural testing [6,7], environmental protection [8][9][10], biomedical research [11][12][13], cultural heritage preservation [14,15], and various other fields.…”