Advanced and functional composite materials via additive manufacturing: Trends and perspectives

被引：1

作者：

Jiang, Yijie ^{[1
]}

Serrano, Alejandro X. ^{[1
]}

Choi, Wonbong ^{[2
,3
]}

Advincula, Rigoberto C. ^{[4
,5
]}

Wu, H. Felix ^{[6
]}

机构：

[1] Univ Oklahoma, Sch Aerosp & Mech Engn, Norman, OK 73019 USA

[2] Univ North Texas, Dept Mat Sci & Engn, Denton, TX 76207 USA

[3] Univ North Texas, Dept Mech Engn, Denton, TX 76207 USA

[4] Oak Ridge Natl Lab, Ctr Nanophase Mat Sci, Oak Ridge, TN 37830 USA

[5] Univ Tennessee, Dept Chem & Biomol Engn, Knoxville, TN 37996 USA

[6] US DOE, Vehicle Technol Off, 1000 Independence Ave,SW, Washington, DC 20585 USA

来源：

MRS COMMUNICATIONS | 2024年 / 14卷 / 04期

关键词：

3D printing; Composite; Functional; Machine learning; POLYMER; FABRICATION;

D O I：

10.1557/s43579-024-00625-5

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Additive manufacturing (AM) has many advantages over conventional subtractive manufacturing methods. The cost-effective AM allows for precise fabrication of complex structures with less material waste, making it a popular manufacturing process in many applications. The recent development of AM materials has advanced significantly. By precisely controlling material distribution and microstructural features, AM facilitates the creation of new composites with specific requirements. AM techniques have contributed considerably to integrating unique functionalities for various applications. This review emphasizes multiple categories of materials, including metal alloys, polymer-based composites, and sustainable composites, as well as applications of sensing materials and strategies and emerging artificial intelligence and machine learning.

引用

页码：449 / 459

页数：11

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