Hardness variation in cast-forging process of AZ80 magnesium alloys and its data-driven prediction-Reference-Cited by-同舟云学术

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Hardness variation in cast-forging process of AZ80 magnesium alloys and its data-driven prediction

Published:2023-08 Issue: Volume:36 Page:106833
ISSN:2352-4928
Container-title:Materials Today Communications
language:en
Short-container-title:Materials Today Communications

Author:

Azqadan Erfan,Uramowski Jared,Wells Mary A.,Arami Arash^ORCID,Jahed Hamid^ORCID

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Materials Chemistry,Mechanics of Materials,General Materials Science

Reference32 articles.

1. Mechanical Behavior of Materials-Engineering Methods for Deformation, Fracture, and Fatigue;Dowling,2013

2. The Science and Engineering of Materials;Askeland,2016

3. Fatigue strength dependence on the ultimate tensile strength and hardness in magnesium alloys;Li;Int. J. Fatigue,2015

4. Semi empirical hardness predictive model for AZ91 nanocomposite;Zaidi;2nd Int. Conf. Funct. Mater. Metall. (ICoFM 2016),2016

5. Mathematical modeling and simulation of hardness of quenched and tempered steel;Smoljan;Metall. Mater. Trans. B,2015

Cited by 2 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. Predictive microstructure image generation using denoising diffusion probabilistic models;Acta Materialia;2023-12

2. Characterization of forged magnesium alloys;Reference Module in Materials Science and Materials Engineering;2023

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