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Signal processing of airborne acoustic emissions from laser metal deposited structures
Citation Link: https://doi.org/10.15480/882.4752
Publikationstyp
Journal Article
Date Issued
2022-09
Sprache
English
Institut
TORE-DOI
Journal
Volume
111
Start Page
359
End Page
362
Citation
Procedia CIRP 111: 359-362 (2022)
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
Elsevier
Laser Metal Deposition (LMD) is an additive manufacturing process that enables the production of complex structures on existing parts. To reduce the use of costly and energy-intensive produced materials like titanium, these structures can be selectively deposited on favorable but differing substrate materials. However due to differing material characteristics, this results in a high defect potential. Extensive process parameter development and online process monitoring helps to minimize the impact of defect formation. Monitoring of airborne acoustic process emissions can be used to identify critical defects early during the process and gain information about process stability. Two approaches for in-process time-frequency monitoring of the acquired acoustic data were compared within this work: The short time Fast Fourier Transformation and the Continuous Wavelet Transformation. Performance criteria based on detected distinct defect events were defined to evaluate both approaches and define specifications for an Acoustic Emission In-Process Monitoring system.
Subjects
Acoustic Emissions
Additive Manufacturing
CWT
In-Process Monitoring
STFT
DDC Class
600: Technik
Publication version
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