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Simultaneous Burr and Cut Interruption Detection during Laser Cutting with Neural Networks
In this contribution, we compare basic neural networks with convolutional neural networks for cut failure classification during fiber laser cutting. The experiments are performed by cutting thin electrical sheets with a 500 W single-mode fiber laser while taking coaxial camera images for the classif...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434410/ https://www.ncbi.nlm.nih.gov/pubmed/34502721 http://dx.doi.org/10.3390/s21175831 |
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author | Adelmann, Benedikt Hellmann, Ralf |
author_facet | Adelmann, Benedikt Hellmann, Ralf |
author_sort | Adelmann, Benedikt |
collection | PubMed |
description | In this contribution, we compare basic neural networks with convolutional neural networks for cut failure classification during fiber laser cutting. The experiments are performed by cutting thin electrical sheets with a 500 W single-mode fiber laser while taking coaxial camera images for the classification. The quality is grouped in the categories good cut, cuts with burr formation and cut interruptions. Indeed, our results reveal that both cut failures can be detected with one system. Independent of the neural network design and size, a minimum classification accuracy of 92.8% is achieved, which could be increased with more complex networks to 95.8%. Thus, convolutional neural networks reveal a slight performance advantage over basic neural networks, which yet is accompanied by a higher calculation time, which nevertheless is still below 2 ms. In a separated examination, cut interruptions can be detected with much higher accuracy as compared to burr formation. Overall, the results reveal the possibility to detect burr formations and cut interruptions during laser cutting simultaneously with high accuracy, as being desirable for industrial applications. |
format | Online Article Text |
id | pubmed-8434410 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84344102021-09-12 Simultaneous Burr and Cut Interruption Detection during Laser Cutting with Neural Networks Adelmann, Benedikt Hellmann, Ralf Sensors (Basel) Article In this contribution, we compare basic neural networks with convolutional neural networks for cut failure classification during fiber laser cutting. The experiments are performed by cutting thin electrical sheets with a 500 W single-mode fiber laser while taking coaxial camera images for the classification. The quality is grouped in the categories good cut, cuts with burr formation and cut interruptions. Indeed, our results reveal that both cut failures can be detected with one system. Independent of the neural network design and size, a minimum classification accuracy of 92.8% is achieved, which could be increased with more complex networks to 95.8%. Thus, convolutional neural networks reveal a slight performance advantage over basic neural networks, which yet is accompanied by a higher calculation time, which nevertheless is still below 2 ms. In a separated examination, cut interruptions can be detected with much higher accuracy as compared to burr formation. Overall, the results reveal the possibility to detect burr formations and cut interruptions during laser cutting simultaneously with high accuracy, as being desirable for industrial applications. MDPI 2021-08-30 /pmc/articles/PMC8434410/ /pubmed/34502721 http://dx.doi.org/10.3390/s21175831 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Adelmann, Benedikt Hellmann, Ralf Simultaneous Burr and Cut Interruption Detection during Laser Cutting with Neural Networks |
title | Simultaneous Burr and Cut Interruption Detection during Laser Cutting with Neural Networks |
title_full | Simultaneous Burr and Cut Interruption Detection during Laser Cutting with Neural Networks |
title_fullStr | Simultaneous Burr and Cut Interruption Detection during Laser Cutting with Neural Networks |
title_full_unstemmed | Simultaneous Burr and Cut Interruption Detection during Laser Cutting with Neural Networks |
title_short | Simultaneous Burr and Cut Interruption Detection during Laser Cutting with Neural Networks |
title_sort | simultaneous burr and cut interruption detection during laser cutting with neural networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434410/ https://www.ncbi.nlm.nih.gov/pubmed/34502721 http://dx.doi.org/10.3390/s21175831 |
work_keys_str_mv | AT adelmannbenedikt simultaneousburrandcutinterruptiondetectionduringlasercuttingwithneuralnetworks AT hellmannralf simultaneousburrandcutinterruptiondetectionduringlasercuttingwithneuralnetworks |