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METHOD FOR COLOR LASER MARKING PROCESS OPTIMIZATION WITH THE USE OF GENETIC ALGORITHMS

Pavels Narica, Lyubomir Lazov, Artis Teilans, Peteris Grabusts, Edmunds Teirumnieks, Pavels Cacivkins

Abstract

Optimization of color laser marking process mostly depends on effective identification of optimal values of laser marking parameters. This is a difficult combinatorial optimization problem, which is still essential for companies that use laser marking systems. The study proposes a new approach to the process optimization through the use of genetic algorithms, carrying out preliminary experimental investigation, analyzing the laser marking results, and presenting possible improvements to the current implementation of genetic algorithms. >

Keywords

color laser marking; combinatorial optimization problem; genetic algorithms; machine learning

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References

J. Bliedtner, H. Muller, A. Barz, “Lasermaterialbearbeitung” Fachbuchverlag Leipzig im Carl Hanser Verlag, pp. 529-551, 2013.

J. Eichler, H. J. Eichler, “Laser”, Springer-Verlag Berlin, 1998.

M. Tim Jones, "Al Application Programming", CHARLES RIVER MEDIA, INC., Hingham, Massachusetts, 2005.

P. Laakso, S. Ruotsalainen, H. Leinonen, A. Helle, R. Penttilä, A. Lehmuskero, J. Hiltunen, “Direct color marking of metals with fiber lasers”, Research Report VTT-R-02403-09, http://wlsc.com/laser-systems/PDF/DirectColorMarkingFinalReport.pdf

A. J. Antonczak, B. Stepak, P. E. Kozioł, K. M. Abramski, “The influence of process parameters on the laser-induced coloring of titanium”, Applied Physics A, 2014.

V. Veiko, G. Odintsova, E. Ageev, Y. Karlagina, A. Loginov, A. Skuratova, et al., “Controlled oxide films formation by nanosecond laser pulses for color marking”, 2014, http://dx.doi.org/10.1364/OE.22.024342

Krantikumar K. Bhosale , Vijay D. Jadhav, "A review of genetic algorithm for metal cutting processes and a research agenda", 2015, IJRASET Volume 3 Issue V.

DOI: http://dx.doi.org/10.17770/etr2017vol2.2607

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