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Дата издания
15.03.2025На каком языке издана
ISSN
22245278Область исследования
Тип исследования
Аннотация (краткое описание)
Relevance. Acoustic emission systems and complexes are currently considered a sensitive method for detecting forming defects. However, defect detection in selective laser melting of heat-resistant alloys using acoustic emission becomes challenging under the influence of noise. The impact of noise significantly complicates the identification of factors influencing the defect formation process, and it also makes it much harder to interpret the parameters of acoustic emission that characterize the state of the object under control. Objective. Study of filtering methods in case of extraneous influences to improve the reliability of the results of recording acoustic signals and improve the identification process. Methods. This article presents the results of the implementation of the developed method of cascade digital filtering. The method is based on high-frequency digital filters, approximated by a second-order Butterworth polynomial model. Amplitude, time, and frequency fragments of acoustic emission signals, which characterize the defect formation process during the manufacturing of products, are highlighted. A relationship between the measurements of the signal’s amplitude parameters, the laser power of the system, and the nitrogen content in the heat-resistant alloy is established. The dependence of the laser power and nitrogen content percentage is approximated using the least squares method and visualized based on a scatter plot. Results and conclusions. The developed relationship describes and characterizes the influence of the listed factors on the defect formation process, and its adequacy is confirmed by calculating the coefficients of determination and significance. It is shown that the application of the cascade filtering method for signal identification significantly increases the effectiveness of the acoustic emission method. The developed cascade filtering method can also be applied when studying the acoustic properties and stresses caused by the physical fields of various rocks. © 2025, National Academy of Sciences of the Republic of Kazakhstan. All rights reserved.DOI
10.32014/2025.2518-170X.488Тип публикаций
Практическое значение
The practical significance of this study lies in improving the reliability and accuracy of defect detection during the selective laser melting (SLM) of heat-resistant alloys through the application of advanced acoustic emission signal processing techniques. The developed cascade digital filtering method effectively suppresses noise and external interferences, enabling more accurate identification of acoustic emission signals associated with defect formation. This enhances the quality control process in additive manufacturing by allowing earlier and more reliable detection of defects, reducing material waste, production costs, and the risk of component failure. The established relationship between acoustic emission parameters, laser power, and nitrogen content provides a useful tool for optimizing technological parameters and improving product quality. Furthermore, the proposed filtering approach can be applied not only in additive manufacturing but also in geophysics, mining, and materials science for the study of acoustic properties, stress states, and defect formation processes in rocks and engineering materials, thereby expanding its industrial and scientific applicability.Квартиль
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SCImago (Scopus)Impact Factor
2.2Количество цитирований
2Данный документ располагается в коллекциях
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