Latest Advances in Manufacturing and Machine Learning of Bulk Metallic Glasses

被引：3
|
作者：
Graeve, Olivia A. [1 ]
Garcia-Vazquez, Mireya S. [2 ]
Ramirez-Acosta, Alejandro A. [2 ]
Cadieux, Zachary [1 ]
机构：
[1] Univ Calif San Diego, Dept Mech & Aerosp Engn, 9500 Gilman Dr MC 0411, La Jolla, CA 92093 USA
[2] Inst Politecn Nacl, Ctr Invest & Desarrollo Tecnol Digital, Ave Inst Politecn Nacl 1310, Tijuana 22435, Baja California, Mexico
来源：
ADVANCED ENGINEERING MATERIALS | 2023年 / 25卷 / 09期
基金：
美国国家科学基金会;
关键词：
amorphous metal; artificial intelligence; machine learning; manufacturing; processing; THERMAL SPRAY COATINGS; MEAN-SQUARE ERROR; STATE-OF-ART; TEMPERATURE-TRANSFORMATION DIAGRAM; CO AMORPHOUS ALLOY; POWDER BED FUSION; FORMING ABILITY; MECHANICAL-PROPERTIES; CORROSION-RESISTANCE; IN-SITU;
D O I：
10.1002/adem.202201493
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this review, two interrelated areas are focused on for the development of novel amorphous metallic alloys, namely, materials processing and machine learning techniques for the design of new alloy compositions. Findings, barriers, and opportunities are described, targeting powder production and sintering, additive manufacturing, and postprocessing techniques, followed by the latest developments in artificial intelligence algorithms for both the design of new alloys and for alloy classification tasks.
引用
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页数：28
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