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Multi-messenger radio frequency and optical diagnostics of pulsed laser ablation processes

Samimi, Mahdieh, Hosseinlaghab, Hassan, McCarthy, Éanna and McNally, Patrick J. orcid logoORCID: 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 Institutes 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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