Microstructure-property mapping modeling for AZ31 alloy rolling deformation using improved PSO-BP neural network

Microstructure-property mapping modeling for AZ31 alloy rolling deformation using improved PSO-BP neural network

The mechanical properties of wrought magnesium alloys depend on their microstructure, particularly the grain size and its distribution. Conventional modeling methods struggle to accurately predict the complex physical relationship between them. In the present study, a microstructure-property mapping...

Full description

Bibliographic Details
Main Authors: Shuang Xu, Xiaodi Xu, Weitao Jia, Wenbin Liu, Jialong Li, Dengao Li
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Journal of Materials Research and Technology
Subjects:
AZ31 magnesium alloy
Rolling
Particle swarm optimization
Back propagation neural network
Microstructure-property mapping modeling
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785423013248

Internet

http://www.sciencedirect.com/science/article/pii/S2238785423013248

Similar Items