READ ME File For 'Dataset for Real-time control of laser materials processing using deep learning'

Dataset DOI: https://doi.org/10.5258/SOTON/D2705

ReadMe Author: James A Grant-Jacob  University of Southampton https://orcid.org/0000-0002-4270-4247

This dataset supports the publication:
AUTHORS: James A. Grant-Jacob, Michalis N. Zervas and Ben Mills
TITLE: Real-time control of laser materials processing using deep learning
JOURNAL: Manufacturing Letters
PAPER DOI IF KNOWN: 


This dataset contains:

Figure_1.png
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Figure_3.png
Fig3a.jpg
Fig3b.jpg
Fig3c.jpg
Fig3d.jpg
Fig3e.jpg
Fig3a.txt
Fig3b.txt
Figure_4.png
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Fig4b.jpg
Fig4c.jpg
Fig4d.jpg
Fig4e.jpg
Fig4a.txt
Fig4b.txt


The figures are as follows:

Figure_1.png Schematic of the experimental setup in which laser pulses were directed onto a dichroic mirror and onto the sample, causing plasma to be emitted from the surface. Camera 1 recorded the surface before and after ablation whilst camera 2 recorded images of the plasma.

Figure_2.png Flow diagram showing the sequence of firing a laser pulse, capturing surface and plasma images, then inputting the plasma image into a CNN, which then processed the image to give an output value. If the output value was less than the threshold value (T), the stage translated to a new line. Otherwise, the stage moved to the next scan position in the current line.

Figure_3.png . Experimentally collected microscope images of laser ablation of silica and air, with the corresponding regression output values for the plasma images taken at each position displayed as solid circles in the figure, for (a) real-time control turned off (CNN trained with initial training data), and (b) real-time control turned on (CNN trained on additional data). Also shown are example plasma images and their associated predicted values for (c) air, (d) the air/silica boundary, and (e) silica.
Fig_3a.jpg to Fig_3e.jpg are the raw individual images that make up the figure. Fig_3a.txt and Fig3b.txt are the corresponding data for the data points.

Figure_4.png Experimentally collected microscope images of laser ablation of uncoated-quartz and BiSe-coated-quartz, with the corresponding regression output values for the plasma images taken at each position displayed as solid circles in the figure, for threshold values of (a) 1 and (b) 1.5. Also shown are example plasma images and their associated predicted values for (c) uncoated-quartz, (d) the material boundary, and (e) BiSe-coated-quartz.
Fig_4a.jpg to Fig_4e.jpg are the raw individual images that make up the figure. Fig_4a.txt and Fig4b.txt are the corresponding data for the data points.

Licence: CC-BY

Related projects:
EPSRC grant EP/P027644/1
EPSRC grant EP/T026197/1
EPSRC grant EP/W028786/1

Date that the file was created: 07, 2023