Temporal Resolution of Acoustic Process Emissions for Monitoring Joint Gap Formation in Laser Beam Butt Welding
Authors:
- Sayako KoderaSKSayako Kodera
- Leander SchmidtLSLeander Schmidt
- Florian RömerFlorian Römer
- Klaus SchrickerKlaus Schricker
- Saichand GourishettiSGSaichand Gourishetti
- David BöttgerDBDavid Böttger
- Tanja KrügerTKTanja Krüger
- András KátaiAKAndrás Kátai
- Benjamin StraßBenjamin Straß
- Bernd WolterBernd Wolter
- Jean Pierre BergmannJean Pierre Bergmann
Preprint
- 25 July 2023
- preprint
- Published by MDPI AG in Preprints.org
Abstract
With increasing power and speed of laser welding, in-process monitoring has become even more crucial to ensure process stability and weld quality. Due to its low cost and installation flexibility, acoustic process monitoring is a promising method and has demonstrated its effectiveness. Since its feasibility has been the focus of existing studies, the temporal resolution of acoustic emissions (AE) has not yet been addressed despite its utmost importance for realizing real-time systems. Aiming to provide a benchmark for further development, this study investigates the relationship between duration and informativeness of AE signals during high power (3.5kW) and high speed (12m/min) laser beam butt welding. Specifically, the informativeness of AE signals is evaluated based on the accuracy of detecting and quantifying joint gaps for various time windows of signals, yielding numerical comparison. The obtained results show that signals can be shortened up to a certain point without sacrificing their informativeness, encouraging to optimize the signal duration. Our results also suggest that large gaps (> 0.3mm) induce unique signal characteristics in AE, which are clearly identifiable from 1 ms signal segments, equivalent to 0.2mm weld seam.Keywords
All Related Versions
This publication has 20 references indexed in Scilit:
- Automatic detection and prediction of discontinuities in laser beam butt welding utilizing deep learningJournal of Advanced Joining Processes, 2022
- Weld depth estimation during pulse mode laser welding process by the analysis of the acquired sound using feature extraction analysis and artificial neural networkJournal of Manufacturing Processes, 2021
- Classification of weld penetration condition through synchrosqueezed-wavelet analysis of sound signal acquired from pulse mode laser welding processJournal of Materials Processing Technology, 2020
- Acoustic process monitoring in laser beam weldingProcedia CIRP, 2020
- Laser processing quality monitoring by combining acoustic emission and machine learning: a high-speed X-ray imaging approachProcedia CIRP, 2018
- Why is in situ quality control of laser keyhole welding a real challenge?Procedia CIRP, 2018
- Nd:YAG Laser Welding of Sheet Metal Assembly: Transformation Induced Volume Strain Affect on Elastoplastic ModelPhysics Procedia, 2013
- A neural network and multiple regression method for the characterization of the depth of weld penetration in laser welding based on acoustic signaturesJournal of Intelligent Manufacturing, 2009
- A comparative study of ultrasound emission characteristics in laser processingApplied Surface Science, 2002
- The measurement of power spectra from the point of view of communications engineering — Part IBell System Technical Journal, 1958