IEEE - Institute of Electrical and Electronics Engineers, Inc. - Automated Brittle Fracture Rate Estimator for Steel Property Evaluation Using Deep Learning After Drop-Weight Tear Test

Author(s): Gyogwon Koo ; Crino Shin ; Hyeyeon Choi ; Jong-Hak Lee ; Sang Woo Kim ; Jong Pil Yun
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Volume: PP
Page(s): 1
ISSN (Electronic): 2169-3536
DOI: 10.1109/ACCESS.2019.2945563
Regular:

This study proposes an automated brittle fracture rate (BFR) estimator using deep learning. As the demand for line-pipes increases in various industries, the need for BFR estimation through... View More

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