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Research on Laser Marking Speed Optimization by Using Genetic Algorithm
Laser Marking Machine is the most common coding equipment on product packaging lines. However, the speed of laser marking has become a bottleneck of production. In order to remove this bottleneck, a new method based on a genetic algorithm is designed. On the basis of this algorithm, a controller was...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4425409/ https://www.ncbi.nlm.nih.gov/pubmed/25955831 http://dx.doi.org/10.1371/journal.pone.0126141 |
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author | Wang, Dongyun Yu, Qiwei Zhang, Yu |
author_facet | Wang, Dongyun Yu, Qiwei Zhang, Yu |
author_sort | Wang, Dongyun |
collection | PubMed |
description | Laser Marking Machine is the most common coding equipment on product packaging lines. However, the speed of laser marking has become a bottleneck of production. In order to remove this bottleneck, a new method based on a genetic algorithm is designed. On the basis of this algorithm, a controller was designed and simulations and experiments were performed. The results show that using this algorithm could effectively improve laser marking efficiency by 25%. |
format | Online Article Text |
id | pubmed-4425409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44254092015-05-21 Research on Laser Marking Speed Optimization by Using Genetic Algorithm Wang, Dongyun Yu, Qiwei Zhang, Yu PLoS One Research Article Laser Marking Machine is the most common coding equipment on product packaging lines. However, the speed of laser marking has become a bottleneck of production. In order to remove this bottleneck, a new method based on a genetic algorithm is designed. On the basis of this algorithm, a controller was designed and simulations and experiments were performed. The results show that using this algorithm could effectively improve laser marking efficiency by 25%. Public Library of Science 2015-05-08 /pmc/articles/PMC4425409/ /pubmed/25955831 http://dx.doi.org/10.1371/journal.pone.0126141 Text en © 2015 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Wang, Dongyun Yu, Qiwei Zhang, Yu Research on Laser Marking Speed Optimization by Using Genetic Algorithm |
title | Research on Laser Marking Speed Optimization by Using Genetic Algorithm |
title_full | Research on Laser Marking Speed Optimization by Using Genetic Algorithm |
title_fullStr | Research on Laser Marking Speed Optimization by Using Genetic Algorithm |
title_full_unstemmed | Research on Laser Marking Speed Optimization by Using Genetic Algorithm |
title_short | Research on Laser Marking Speed Optimization by Using Genetic Algorithm |
title_sort | research on laser marking speed optimization by using genetic algorithm |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4425409/ https://www.ncbi.nlm.nih.gov/pubmed/25955831 http://dx.doi.org/10.1371/journal.pone.0126141 |
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