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Microphone signal specialities in laser powder bed fusion: single-track scan and multi-track scan

Authors :
Zhangdong Chen
Di Wang
Yingjie Zhang
Source :
Journal of Materials Research and Technology, Vol 24, Iss , Pp 1344-1362 (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Acoustic emission is a promising candidate among online process monitoring methods in laser powder bed fusion. Although previous studies have demonstrated the feasibility for acoustic-based monitoring, an underlying understanding of the acoustic specialities related to laser–powder interactions in the enclosed chamber is scarce. This research employed a microphone to collect the acoustic emission signal during laser printing processes. Two contents are contained in the raw data: static pressure variation and acoustic signal. The features of each content are investigated and it follows several significant findings. First, more violent fluctuations of ambient gas static pressure in the chamber are due to the high temperature gradient of ambient gas and recoil pressure over the laser-material interaction zone, which typically occurs in a very low frequency band (10 kHz). For powder bed additive manufacturing, these results offer a guidance for signal processing and machine learning to dig out the signal signatures of a specific defect in terms of acoustic monitoring.

Details

Language :
English
ISSN :
22387854
Volume :
24
Issue :
1344-1362
Database :
Directory of Open Access Journals
Journal :
Journal of Materials Research and Technology
Publication Type :
Academic Journal
Accession number :
edsdoj.7da1d56abaec4573bb456d22bfaeee2c
Document Type :
article
Full Text :
https://doi.org/10.1016/j.jmrt.2023.03.091