Property prediction of AZ80 magnesium alloy: an extreme learning machine model optimized by a new improved sparrow search algorithm-Reference-Cited by-同舟云学术

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Property prediction of AZ80 magnesium alloy: an extreme learning machine model optimized by a new improved sparrow search algorithm

Published:2024 Issue:3 Volume:29 Page:
ISSN:1517-7076
Container-title:Matéria (Rio de Janeiro)
language:
Short-container-title:Matéria (Rio J.)

Author:

Zhang Pengju¹^ORCID,Zhang Jianping²,Fu Jian³,Guo Wenbo²,Zhao Dawen⁴,Wang Liquan⁵

Affiliation:

1. Harbin Engineering University, China; University of Shanghai for Science and Technology, China

2. University of Shanghai for Science and Technology, China

3. Shanghai Electric Power Co., China; Shanghai Donghai Wind Power Generation Co., China

4. Shanghai Electric Wind Power Group Co., China

5. Harbin Engineering University, China

Publisher

FapUNIFESP (SciELO)

Link

http://www.scielo.br/scielo.php?script=sci_pdf&pid=S1517-70762024000300247&tlng=en

Reference43 articles.

1. “The development of a high-strength Mg-10.3Gd-4.4Y-0.9Zn-0.7Mn alloy subjected to large differential-thermal extrusion and isothermal aging”;WANG K.;Materials (Basel),2023

2. “A High strength-ductility balanced Mg-1Ca-0.5Mn-0.53Ce Mg alloy sheet by multi-pass low-temperature rolling”;CAI Z.-H.;Journal of Materials Engineering and Performance,2024

3. Applied Sciences;GAO M.,2023

4. “Effects of cerium addition on the corrosion resistance and biocompatibility of Mg-2Sr-1Zr alloy”;DUTTA S.;Journal of Materials Research,2020

5. “Enhanced mechanical properties of an Mg-Zn-Ca alloy via high pressure torsion and annealing for use in bone implantation”;ZHANG C.,2022

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