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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...

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Detalles Bibliográficos
Autores principales: Adelmann, Benedikt, Hellmann, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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
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