Predicting High Temperature Flow Stress of Nickel Alloy A230 Based on an Artificial Neural Network

Predicting High Temperature Flow Stress of Nickel Alloy A230 Based on an Artificial Neural Network

The high-temperature deformation behavior of metals and alloys undergoes complex mechanisms depending on the deformation conditions. The microstructure and mechanical properties after deformation are important factors that determine the strength and durability of the final product. Therefore, many s...

Full description

Bibliographic Details
Main Authors: In Yong Moon, Hi Won Jeong, Ho Won Lee, Se-Jong Kim, Young-Seok Oh, Jaimyun Jung, Sehyeok Oh, Seong-Hoon Kang
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Metals
Subjects:
flow stress
Zener–Hollomon parameter
artificial neural network
hot deformation
machine learning
Online Access:https://www.mdpi.com/2075-4701/12/2/223

Internet

https://www.mdpi.com/2075-4701/12/2/223

Similar Items