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A Novel Algorithm for Thickness Prediction in Incremental Sheet Metal Forming
Incremental sheet metal forming characterized as increased flexibility and local plastic deformation is well suitable for low-production-run manufacturing and a new sample trial production of complex shapes. Thickness thinning is still an obstacle to the application of incremental forming. In this s...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838616/ https://www.ncbi.nlm.nih.gov/pubmed/35161145 http://dx.doi.org/10.3390/ma15031201 |
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author | Wang, Yuhuai Wang, Lidong Zhang, Huixi Gu, Yong Ye, Yaokun |
author_facet | Wang, Yuhuai Wang, Lidong Zhang, Huixi Gu, Yong Ye, Yaokun |
author_sort | Wang, Yuhuai |
collection | PubMed |
description | Incremental sheet metal forming characterized as increased flexibility and local plastic deformation is well suitable for low-production-run manufacturing and a new sample trial production of complex shapes. Thickness thinning is still an obstacle to the application of incremental forming. In this study, a novel mathematical algorithm based on a non-uniform rational B-spline (NURBS) surface was proposed and implemented which focuses on predicting and calculating the final thickness for arbitrary parts in incremental forming. In order to evaluate the validity of the proposed model, the finite element simulation and forming experiments of three kinds of parts, such as truncated cones, truncated pyramids and ellipsoid parts, were conducted. The thickness of theoretical prediction was compared with that of finite element simulation and experiment, and good agreements were obtained. The results show that the proposed model and the method are effective and robust for predicting the thickness of the formed parts in incremental sheet metal forming. |
format | Online Article Text |
id | pubmed-8838616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88386162022-02-13 A Novel Algorithm for Thickness Prediction in Incremental Sheet Metal Forming Wang, Yuhuai Wang, Lidong Zhang, Huixi Gu, Yong Ye, Yaokun Materials (Basel) Article Incremental sheet metal forming characterized as increased flexibility and local plastic deformation is well suitable for low-production-run manufacturing and a new sample trial production of complex shapes. Thickness thinning is still an obstacle to the application of incremental forming. In this study, a novel mathematical algorithm based on a non-uniform rational B-spline (NURBS) surface was proposed and implemented which focuses on predicting and calculating the final thickness for arbitrary parts in incremental forming. In order to evaluate the validity of the proposed model, the finite element simulation and forming experiments of three kinds of parts, such as truncated cones, truncated pyramids and ellipsoid parts, were conducted. The thickness of theoretical prediction was compared with that of finite element simulation and experiment, and good agreements were obtained. The results show that the proposed model and the method are effective and robust for predicting the thickness of the formed parts in incremental sheet metal forming. MDPI 2022-02-04 /pmc/articles/PMC8838616/ /pubmed/35161145 http://dx.doi.org/10.3390/ma15031201 Text en © 2022 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 Wang, Yuhuai Wang, Lidong Zhang, Huixi Gu, Yong Ye, Yaokun A Novel Algorithm for Thickness Prediction in Incremental Sheet Metal Forming |
title | A Novel Algorithm for Thickness Prediction in Incremental Sheet Metal Forming |
title_full | A Novel Algorithm for Thickness Prediction in Incremental Sheet Metal Forming |
title_fullStr | A Novel Algorithm for Thickness Prediction in Incremental Sheet Metal Forming |
title_full_unstemmed | A Novel Algorithm for Thickness Prediction in Incremental Sheet Metal Forming |
title_short | A Novel Algorithm for Thickness Prediction in Incremental Sheet Metal Forming |
title_sort | novel algorithm for thickness prediction in incremental sheet metal forming |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838616/ https://www.ncbi.nlm.nih.gov/pubmed/35161145 http://dx.doi.org/10.3390/ma15031201 |
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