Quality Assessment of Metal Additive Manufactured Parts by a Multiscale Convolutional Fuzzy Neural Network Using Ultrasound Images as Input Data
The successful production of metallic workpieces through selective laser melting requires a quality assurance process that can effectively and nondestructively assess internal defects. Ultrasound testing is a nondestructive testing modality that can be used to identify defects and characterize the m...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10301565/ |