Artificial Neural Networks for Predicting Plastic Anisotropy of Sheet Metals Based on Indentation Test

This paper mainly proposes two kinds of artificial neural network (ANN) models for predicting the plastic anisotropy properties of sheet metal using spherical indentation test, which minimizes measurement time, costs, and simplifies the process of obtaining the anisotropy properties than the convent...

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Detalles Bibliográficos
Autores principales: Xia, Jiaping, Won, Chanhee, Kim, Hyunggyu, Lee, Wonjoo, Yoon, Jonghun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910904/
https://www.ncbi.nlm.nih.gov/pubmed/35268947
http://dx.doi.org/10.3390/ma15051714

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8910904/
https://www.ncbi.nlm.nih.gov/pubmed/35268947
http://dx.doi.org/10.3390/ma15051714

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