Modeling the Effects of Cu Content and Deformation Variables on the High-Temperature Flow Behavior of Dilute Al-Fe-Si Alloys Using an Artificial Neural Network

Modeling the Effects of Cu Content and Deformation Variables on the High-Temperature Flow Behavior of Dilute Al-Fe-Si Alloys Using an Artificial Neural Network

The hot deformation behavior of Al-0.12Fe-0.1Si alloys with varied amounts of Cu (0.002–0.31 wt %) was investigated by uniaxial compression tests conducted at different temperatures (400 °C–550 °C) and strain rates (0.01–10 s−1). The results demonstrated that flow stress decreased with increasing de...

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Bibliographic Details
Main Authors: Mohammad Shakiba, Nick Parson, X.-Grant Chen
Format: Article
Language:English
Published: MDPI AG 2016-06-01
Series:Materials
Subjects:
1xxx aluminum alloys
hot deformation
flow stress prediction
artificial neural network modeling
sensitivity analysis
Online Access:http://www.mdpi.com/1996-1944/9/7/536

Internet

http://www.mdpi.com/1996-1944/9/7/536

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