Microstructure quality control of steels using deep learning
In quality control, microstructures are investigated rigorously to ensure structural integrity, exclude the presence of critical volume defects, and validate the formation of the target microstructure. For quenched, hierarchically-structured steels, the morphology of the bainitic and martensitic mic...
Main Authors: | Ali Riza Durmaz, Sai Teja Potu, Daniel Romich, Johannes J. Möller, Ralf Nützel |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-08-01
|
Series: | Frontiers in Materials |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmats.2023.1222456/full |
Similar Items
-
Microstructure authentication on mechanical property of medium carbon Low alloy duplex steels
by: B.M. Gurumurthy, et al.
Published: (2020-05-01) -
Mechanical characteristics evaluation of dual phase and related hardening techniques on AISI 4340 steel
by: Sathyashankara Sharma, et al.
Published: (2018-12-01) -
Reproducible Quantification of the Microstructure of Complex Quenched and Quenched and Tempered Steels Using Modern Methods of Machine Learning
by: Björn-Ivo Bachmann, et al.
Published: (2023-08-01) -
Microstructure and Properties of Spot Welded Joints of Hot-Stamped Ultra-High Strength Steel Used for Automotive Body Structures
by: Zhixia Qiao, et al.
Published: (2019-03-01) -
Effect of cooling rates on the weld heat affected zone coarse grain microstructure
by: Roman Celin, et al.
Published: (2018-04-01)