Deep-Learning-Based Predictive Architectures for Self-Piercing Riveting Process

Deep-Learning-Based Predictive Architectures for Self-Piercing Riveting Process

Deep-learning architectures were developed for the self-piercing riveting (SPR) process to predict the cross-sectional shape from the scalar input of the punch force. Traditionally, the SPR process is studied using a physic-based approach, including finite element modeling, but in this study, a data...

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Bibliographic Details
Main Authors: Sehyeok Oh, Hyun Kyung Kim, Taek-Eon Jeong, Dong-Hyuck Kam, Hyungson Ki
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cross-sectional shape prediction
deep learning
segmentation prediction
scalar-to-segmentation generator
self-piercing riveting
Online Access:https://ieeexplore.ieee.org/document/9123406/

Internet

https://ieeexplore.ieee.org/document/9123406/

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