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Residual neural network-based fully convolutional network for microstructure segmentation
- Source :
- Science and Technology of Welding and Joining. 25:282-289
- Publication Year :
- 2019
- Publisher :
- Informa UK Limited, 2019.
-
Abstract
- In this study, microstructures of weldment produced using carbon steel A516 grade 60 were analysed via a deep learning approach to measure the fraction of acicular ferrite which considerably influe...
- Subjects :
- 0209 industrial biotechnology
Materials science
Carbon steel
business.industry
Deep learning
Measure (physics)
Fraction (chemistry)
02 engineering and technology
engineering.material
021001 nanoscience & nanotechnology
Condensed Matter Physics
Microstructure
Acicular ferrite
Submerged arc welding
020901 industrial engineering & automation
engineering
General Materials Science
Segmentation
Artificial intelligence
Composite material
0210 nano-technology
business
Subjects
Details
- ISSN :
- 17432936 and 13621718
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- Science and Technology of Welding and Joining
- Accession number :
- edsair.doi...........3b73967699167a37c9b7c86b66be0d20