Deep Transfer Learning for Ni-Based Superalloys Microstructure Recognition on <i>γ</i>′ Phase

Deep Transfer Learning for Ni-Based Superalloys Microstructure Recognition on <i>γ</i>′ Phase

Ni-based superalloys are widely used to manufacture the critical hot-end components of aviation jet engines and various industrial gas turbines. The analysis of Ni-based superalloys microstructures is an important research task during the design and development of superalloys. The material microstru...

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Bibliographic Details
Main Authors: Wenyi Li, Weifu Li, Zijun Qin, Liming Tan, Lan Huang, Feng Liu, Chi Xiao
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Materials
Subjects:
superalloys
scanning electron microscop
deep transfer learning
microstructure characterization
software
accelerating design
Online Access:https://www.mdpi.com/1996-1944/15/12/4251

Internet

https://www.mdpi.com/1996-1944/15/12/4251

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