When AI meets additive manufacturing: Challenges and emerging opportunities for human-centered products development

被引:42
|
作者
Liu, Chenang [1 ]
Tian, Wenmeng [2 ]
Kan, Chen [3 ]
机构
[1] Oklahoma State Univ, Sch Ind Engn & Management, Stillwater, OK 74078 USA
[2] Mississippi State Univ, Dept Ind & Syst Engn, Mississippi State, MS 39762 USA
[3] Univ Texas Arlington, Dept Ind Mfg & Syst Engn, Arlington, TX 76019 USA
基金
美国国家科学基金会;
关键词
Additive manufacturing; Artificial intelligence; Human-centered manufacturing; Human-in-the-loop; Product design; Process optimization; Quality assessment; ACCELERATED PROCESS OPTIMIZATION; MACHINE LEARNING APPROACH; PROCESS SELECTION; PROCESS PARAMETERS; AUGMENTED REALITY; SECURITY CHALLENGES; DESIGN; MODEL; METHODOLOGY; CONSUMPTION;
D O I
10.1016/j.jmsy.2022.04.010
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Nowadays, additive manufacturing (AM) has been increasingly leveraged to produce human-centered products, such as orthoses and prostheses as well as therapeutic helmets, finger splints, and other personalized devices. This study reviews the state-of-the-art research in human-centered AM with a highlight on the role of artificial intelligence (AI). Notably, AI is increasingly involved in the decision-makings throughout the three stages of AM product development, i.e., design, fabrication, and assessment, and it brings emerging opportunities for cost-effective human-centered products development. Therefore, in this paper, recent research in AI-enabled customized design, fabrication, and assessment has been summarized. Furthermore, research opportunities and challenges for broader adoptions of AI in AM applications are thoroughly discussed, particularly for human -centered AM products.
引用
收藏
页码:648 / 656
页数:9
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