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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Main Authors: COSMIN - CONSTANTIN GRIGORAȘ, ȘTEFAN COȘA, VALENTIN ZICHIL
Format: Article
Language:English
Published: Alma Mater Publishing House "Vasile Alecsandri" University of Bacau 2024-07-01
Series:Journal of Engineering Studies and Research
Subjects:
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.
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