Modeling and Prediction of Grain Size and Hardness of ZE41/ZrO$$_2$$ Nano-surface Composite Using Multiple Regression, Power Law and Artificial Intelligence Techniques-Reference-Cited by-同舟云学术

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Modeling and Prediction of Grain Size and Hardness of ZE41/ZrO$$_2$$ Nano-surface Composite Using Multiple Regression, Power Law and Artificial Intelligence Techniques

Published:2022-04-02 Issue:8 Volume:75 Page:2051-2059
ISSN:0972-2815
Container-title:Transactions of the Indian Institute of Metals
language:en
Short-container-title:Trans Indian Inst Met

Author:

Manroo Suhail Ahmed^ORCID,Malik Vinayak

Publisher

Springer Science and Business Media LLC

Subject

General Arts and Humanities

Link

https://link.springer.com/content/pdf/10.1007/s12666-022-02581-x.pdf

Reference21 articles.

1. Abbas A, and Huang S J, J Alloys Compd 835, 155466 (2020).

2. Liao J, Yamamoto N, and Nakata K, Metall Mater Trans A 40, 2212 (2009).

3. Hassan S, and Gupta M, J Alloys Compd 419, 84 (2006).

4. Huang W, Hou B, Pang Y, and Zhou Z, Wear 260, 1173 (2006).

5. Kang S H, Lee Y, and Lee J, J Mater Process Technol 201, 436 (2008).

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review on developing high-performance ZE41 magnesium alloy by using bulk deformation and surface modification methods;Journal of Magnesium and Alloys;2023-03

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