A Modified Back Propagation Artificial Neural Network Model Based on Genetic Algorithm to Predict the Flow Behavior of 5754 Aluminum Alloy

A Modified Back Propagation Artificial Neural Network Model Based on Genetic Algorithm to Predict the Flow Behavior of 5754 Aluminum Alloy

In order to predict flow behavior and find the optimum hot working processing parameters for 5754 aluminum alloy, the experimental flow stress data obtained from the isothermal hot compression tests on a Gleeble-3500 thermo-simulation apparatus, with different strain rates (0.1–10 s&nd...

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Bibliographic Details
Main Authors: Changqing Huang, Xiaodong Jia, Zhiwu Zhang
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Materials
Subjects:
5754 aluminum alloy
hot compressive
constitutive model
artificial neural network
genetic algorithm
dynamic softening mechanism
Online Access:http://www.mdpi.com/1996-1944/11/5/855

Internet

http://www.mdpi.com/1996-1944/11/5/855

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