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(–1)) and tempera...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Changqing, Jia, Xiaodong, Zhang, Zhiwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978232/
https://www.ncbi.nlm.nih.gov/pubmed/29883394
http://dx.doi.org/10.3390/ma11050855

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978232/
https://www.ncbi.nlm.nih.gov/pubmed/29883394
http://dx.doi.org/10.3390/ma11050855

Ejemplares similares