Methods for filtering acoustic emission signals when monitoring defect formation in the process of direct laser growth of products
https://doi.org/10.17586/0021-3454-2023-66-10-852-868
Abstract
Results of acoustic emission monitoring of defect formation in products during direct laser growth are presented. The features of applying the acoustic emission method and results of processing recorded acoustic emission signals with the use of cascade polynomial digital filtering are considered. Results of experimental testing of the cascade filtration method for detecting internal structure defects such as cracks and pores are presented. Fragments of amplitude- time and frequency-time diagrams of acoustic emission signals recorded during the development of defects in the process of growing products are isolated. An assessment is made of the dependence of acoustic emission signals on defect formation parameters. A relationship between the acoustic emission signals parameters and applied laser radiation power is established, which characterizes the process of defect formation, as well as the nitrogen content in the heat-resistant alloy powder.
Keywords
acoustic emission,
defect formation testing,
additive manufacturing,
direct laser growth,
filtering,
laser power,
metallography,
chromium-nickel alloy,
signal
Supporting agencies: The research was carried out with the financial support of the Russian Ministry of Education and Science as part of the implementation of the program of the world-class Scientific Center in the direction of “Advanced Digital Technologies” of St. Petersburg State Marine Technical University (agreement dated April 20, 2022, No. 075-15- 2022-312).
About the Authors
Ye. Altay
1National Center of Science and Technology Evaluation
Kazakhstan
Kazakhstan
Yeldos Altay - PhD; Chief Manager
Almaty
D. О. Kuzivanov
ITMO University
Russian Federation
Russian Federation
Dmitry O. Kuzivanov - Post-Graduate Student; Faculty of Control Systems and Robotics
St. Petersburg
D. А. Rozhdestvensky
World-class Scientific Center of Advanced Digital Technologies SMTU
Russian Federation
Russian Federation
Danila A. Rozhdestvensky - Department of Additive Technologies; Specialist of the Department
St. Petersburg
М. I. Sannikov
World-class Scientific Center of Advanced Digital Technologies SMTU
Russian Federation
Russian Federation
Maksim I. Sannikov - Department of Additive Technologies; Engineer of the Department
St. Petersburg
К. А. Stepanova
Scientific and Technical Center Etalon
Russian Federation
Russian Federation
Ksenia A. Stepanova - PhD
St. Petersburg
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Review
For citations:
Altay Ye., Kuzivanov D.О., Rozhdestvensky D.А., Sannikov М.I., Stepanova К.А. Methods for filtering acoustic emission signals when monitoring defect formation in the process of direct laser growth of products. Journal of Instrument Engineering. 2023;66(10):852-868. (In Russ.) https://doi.org/10.17586/0021-3454-2023-66-10-852-868
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