INTEGRATING NEURAL NETWORKS INTO SHEET METAL FORMING: A REVIEW OF RECENT ADVANCES AND APPLICATIONS
In order to predict defects, improve performance, and streamline operations, machine learning techniques are becoming ever more indispensable in manufacturing processes, mainly in sheet metal forming. Incorporating neural networks into the process of sheet metal forming is the subject of this artic...
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Format: | Article |
Language: | English |
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Alma Mater Publishing House "Vasile Alecsandri" University of Bacau
2024-07-01
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Series: | Journal of Engineering Studies and Research |
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Online Access: | https://jesr.ub.ro/index.php/1/article/view/434 |
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author | COSMIN - CONSTANTIN GRIGORAȘ ȘTEFAN COȘA VALENTIN ZICHIL |
author_facet | COSMIN - CONSTANTIN GRIGORAȘ ȘTEFAN COȘA VALENTIN ZICHIL |
author_sort | COSMIN - CONSTANTIN GRIGORAȘ |
collection | DOAJ |
description |
In order to predict defects, improve performance, and streamline operations, machine learning techniques are becoming ever more indispensable in manufacturing processes, mainly in sheet metal forming. Incorporating neural networks into the process of sheet metal forming is the subject of this article's exhaustive examination of recent developments and applications. Exploring datasets from a variety of sheet metal forming processes, numerous machine learning models, including ensemble and single learning techniques are investigated. The functionality of this method extends to various tasks, including the prediction of springback in cold-rolled anisotropic steel sheets. The review provides a conclusion section that presents the main implementation methodologies and how they address to some manufacturing issues.
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format | Article |
id | doaj-art-07244b01f50840d688afc9986ff522ff |
institution | Kabale University |
issn | 2068-7559 2344-4932 |
language | English |
publishDate | 2024-07-01 |
publisher | Alma Mater Publishing House "Vasile Alecsandri" University of Bacau |
record_format | Article |
series | Journal of Engineering Studies and Research |
spelling | doaj-art-07244b01f50840d688afc9986ff522ff2025-02-09T11:36:43ZengAlma Mater Publishing House "Vasile Alecsandri" University of BacauJournal of Engineering Studies and Research2068-75592344-49322024-07-01301INTEGRATING NEURAL NETWORKS INTO SHEET METAL FORMING: A REVIEW OF RECENT ADVANCES AND APPLICATIONSCOSMIN - CONSTANTIN GRIGORAȘȘTEFAN COȘAVALENTIN ZICHIL In order to predict defects, improve performance, and streamline operations, machine learning techniques are becoming ever more indispensable in manufacturing processes, mainly in sheet metal forming. Incorporating neural networks into the process of sheet metal forming is the subject of this article's exhaustive examination of recent developments and applications. Exploring datasets from a variety of sheet metal forming processes, numerous machine learning models, including ensemble and single learning techniques are investigated. The functionality of this method extends to various tasks, including the prediction of springback in cold-rolled anisotropic steel sheets. The review provides a conclusion section that presents the main implementation methodologies and how they address to some manufacturing issues. https://jesr.ub.ro/index.php/1/article/view/434neural network, sheet metal forming, springback compensation |
spellingShingle | COSMIN - CONSTANTIN GRIGORAȘ ȘTEFAN COȘA VALENTIN ZICHIL INTEGRATING NEURAL NETWORKS INTO SHEET METAL FORMING: A REVIEW OF RECENT ADVANCES AND APPLICATIONS Journal of Engineering Studies and Research neural network, sheet metal forming, springback compensation |
title | INTEGRATING NEURAL NETWORKS INTO SHEET METAL FORMING: A REVIEW OF RECENT ADVANCES AND APPLICATIONS |
title_full | INTEGRATING NEURAL NETWORKS INTO SHEET METAL FORMING: A REVIEW OF RECENT ADVANCES AND APPLICATIONS |
title_fullStr | INTEGRATING NEURAL NETWORKS INTO SHEET METAL FORMING: A REVIEW OF RECENT ADVANCES AND APPLICATIONS |
title_full_unstemmed | INTEGRATING NEURAL NETWORKS INTO SHEET METAL FORMING: A REVIEW OF RECENT ADVANCES AND APPLICATIONS |
title_short | INTEGRATING NEURAL NETWORKS INTO SHEET METAL FORMING: A REVIEW OF RECENT ADVANCES AND APPLICATIONS |
title_sort | integrating neural networks into sheet metal forming a review of recent advances and applications |
topic | neural network, sheet metal forming, springback compensation |
url | https://jesr.ub.ro/index.php/1/article/view/434 |
work_keys_str_mv | AT cosminconstantingrigoras integratingneuralnetworksintosheetmetalformingareviewofrecentadvancesandapplications AT stefancosa integratingneuralnetworksintosheetmetalformingareviewofrecentadvancesandapplications AT valentinzichil integratingneuralnetworksintosheetmetalformingareviewofrecentadvancesandapplications |