Acoustic emission based deep learning technique to predict adhesive bond strength of laser processed CFRP composites
The high degree of inhomogeneity in material and intricacies created by machining of carbon fiber reinforced plastic (CFRP) composites hinder the accurate prediction of residual strength of the adhesive bond joint using analytical models. Recently, artificial intelligence techniques are effectively...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Belgrade - Faculty of Mechanical Engineering, Belgrade
2020-01-01
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| Series: | FME Transactions |
| Subjects: | |
| Online Access: | https://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2020/1451-20922003611S.pdf |