METHOD OF IDENTIFYING FACTORS INFLUENCING DEFECT FORMATION IN SELECTIVE LASER MELTING OF HEAT-RESISTANT ALLOY USING ACOUSTIC EMISSION METHOD
Altay Y.A. Bazarbay B.B. Absadykov B.N. Berdibaeva G.K. Kalmaganbetov S.A.
2025National Academy of Sciences of the Republic of Kazakhstan
News of the National Academy of Sciences of the Republic of Kazakhstan, Series of Geology and Technical Sciences
2025#2025Issue 221 - 41 pp.
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.
additive manufacturing , chromium-nickel alloy , defect formation control , direct laser deposition , filtration , laser power , аcoustic emission
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Kazakh National Research Technical, University named after K.I. Satbayev, Almaty, Kazakhstan
Kazakh National Research Technical
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