Modeling the correlation between texture characteristics and tensile properties of AZ31 magnesium alloy based on the artificial neural networks
- DOI
- 10.1016/j.jmrt.2023.04.079
- Published
- 05
- Container
- Journal of Materials Research and Technology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.jmrt.2023.04.079,
title = {Modeling the correlation between texture characteristics and tensile properties of AZ31 magnesium alloy based on the artificial neural networks},
author = {Yibing Zhang and Shengwen Bai and Bin Jiang and Kun Li and Zhihua Dong and Fusheng Pan},
year = {2023},
journal = {Journal of Materials Research and Technology},
doi = {10.1016/j.jmrt.2023.04.079},
url = {https://doi.org/10.1016/j.jmrt.2023.04.079}
}RIS
TY - JOUR TI - Modeling the correlation between texture characteristics and tensile properties of AZ31 magnesium alloy based on the artificial neural networks AU - Yibing Zhang AU - Shengwen Bai AU - Bin Jiang AU - Kun Li AU - Zhihua Dong AU - Fusheng Pan PY - 2023 JO - Journal of Materials Research and Technology DO - 10.1016/j.jmrt.2023.04.079 UR - https://doi.org/10.1016/j.jmrt.2023.04.079 ER -
APA
Zhang, Y., Bai, S., Jiang, B., Li, K., Dong, Z., & Pan, F. (2023). Modeling the correlation between texture characteristics and tensile properties of AZ31 magnesium alloy based on the artificial neural networks. Journal of Materials Research and Technology. https://doi.org/10.1016/j.jmrt.2023.04.079
Source records
- doaj · retrieved 2026-09-25T22:37:44.414Z