Springback Study on Profile Flexible 3D Stretch-Bending Process Using the Neural Network
Joint Authors
Lin, Xiangfeng
Li, Yi
Cai, Zhongyi
Liang, Jicai
Liang, Ce
Teng, Fei
Source
Advances in Materials Science and Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-15
Country of Publication
Egypt
No. of Pages
9
Abstract EN
The springback is one of the main defects in the flexible 3D stretch-bending process.
In this paper, according to the orthogonal design of experiments, the numerical simulation analysis of the springback for the 3D stretch-bending aluminum profile is carried out by the ABAQUS finite element software.
And to investigate the effect of material properties on the springback, the range analysis of the orthogonal experiment is performed.
The results show that these material properties of the aluminum profile (elastic modulus E, yield strength σy, and tangent modulus E1) might have the biggest influence on the springback of the aluminum profile, and the optimized forming parameters are founded as follows: the horizontal bending degree is 14°, the vertical bending degree is 14°, the number of multipoint stretch-bending dies is 10, the friction coefficient is 0.15, and aluminum alloy grade is 6063.
Moreover, the model of the BP neural network for the prediction of the springback is established and trained based on the orthogonal experiment, and the results with the BP neural network model are in good agreement with experimental results.
So it is obvious that the BP neural network could predict effectively the springback of 3D multipoint stretch-bending parts.
American Psychological Association (APA)
Li, Yi& Liang, Ce& Lin, Xiangfeng& Liang, Jicai& Cai, Zhongyi& Teng, Fei. 2019. Springback Study on Profile Flexible 3D Stretch-Bending Process Using the Neural Network. Advances in Materials Science and Engineering،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1120485
Modern Language Association (MLA)
Li, Yi…[et al.]. Springback Study on Profile Flexible 3D Stretch-Bending Process Using the Neural Network. Advances in Materials Science and Engineering No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1120485
American Medical Association (AMA)
Li, Yi& Liang, Ce& Lin, Xiangfeng& Liang, Jicai& Cai, Zhongyi& Teng, Fei. Springback Study on Profile Flexible 3D Stretch-Bending Process Using the Neural Network. Advances in Materials Science and Engineering. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1120485
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1120485