Samimi, Mahdieh, Hosseinlaghab, Hassan, McCarthy, Éanna and McNally, Patrick J. ORCID: 0000-0003-2798-5121 (2022) Multi-messenger radio frequency and optical diagnostics of pulsed laser ablation processes. Journal of Manufacturing and Materials Processing, 6 (106). ISSN 2504-4494
Abstract
: In this report, a novel non-contact, non-invasive methodology for near and quasi real-time
measurement of the structuring of metal surfaces using pulsed laser ablation is described. This
methodology is based on the use of a multi-messenger data approach using data from Optical
Emission Spectroscopy (OES) and Radio Emission Spectroscopy (RES) in parallel. In this research,
radio frequency (RF) emission (in the range of 100–400 MHz) and optical emission (200–900 nm)
were investigated and acquired in real-time. The RES and OES data were post-processed and
visualized using heat maps, and, because of the large data sets acquired particularly using in RES,
Principal Component Analysis (PCA) statistics were used for data analysis. A comparison between
in-process RES-OES data and post-process 3D images of the different ablated holes generated by
a picosecond laser with different powers (1.39 W, 1.018 W, and 0.625 W) on aluminum (Al) and
copper (Cu) was performed. The real-time time-series data acquired using the Radio and Optical
Emission Spectroscopy technique correlate well with post-process 3D microscopic images. The
capability of RES-OES as an in operando near real-time diagnostic for the analysis of changes of
ablation quality (cleanliness and symmetry), and morphology and aspect ratios (including the
diameter of ablated holes) in the process was confirmed by PCA analysis and heat map visualization.
This technique holds great promise for in-process quality detection in metal micromachining and
laser-metal base manufacturing.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Uncontrolled Keywords: | laser ablation; non-contact materials quality diagnostics; radio emission spectroscopy; optical emission spectroscopy; heat map; principal component analysis; morphology; measurement |
Subjects: | Engineering > Production engineering Engineering > Signal processing Engineering > Electronic engineering Physical Sciences > Detectors Physical Sciences > Spectrum analysis Physical Sciences > Plasma processing |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering DCU Faculties and Schools > Faculty of Engineering and Computing > School of Mechanical and Manufacturing Engineering Research Initiatives and Centres > I-Form |
Publisher: | MDPI |
Official URL: | https://doi.org/10.3390/jmmp6050106 |
Copyright Information: | © 2022 The Authors |
ID Code: | 28202 |
Deposited On: | 28 Mar 2023 14:01 by Patrick Mcnally . Last Modified 28 Mar 2023 14:01 |
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