Back to Search Start Over

Smart additive manufacturing: Current artificial intelligence-enabled methods and future perspectives.

Authors :
Wang, YuanBin
Zheng, Pai
Peng, Tao
Yang, HuaYong
Zou, Jun
Source :
SCIENCE CHINA Technological Sciences; Sep2020, Vol. 63 Issue 9, p1600-1611, 12p
Publication Year :
2020

Abstract

Additive manufacturing (AM) has been increasingly used in production. Because of its rapid growth, the efficiency and robustness of AM-based product development processes should be improved. Artificial intelligence (AI) is a powerful tool that has outperformed humans in numerous complex tasks. AI-enabled intelligent agents can reduce the workforce required to scale up AM production and achieve higher resource utilization efficiency. This study provides an introduction of AI techniques. Then, the current development of AI-enabled AM product development is investigated. Existing intelligent agents are used for problems in product design, process design and production stages. Based on the review, current research gaps and future research directions are identified. To guide future development of more efficient and comprehensive intelligent agents, a smart AM framework based on cloud-edge computing is proposed. Global consideration can be realized in the cloud environment, and a fast response can be achieved at the edge nodes. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16747321
Volume :
63
Issue :
9
Database :
Complementary Index
Journal :
SCIENCE CHINA Technological Sciences
Publication Type :
Academic Journal
Accession number :
145514705
Full Text :
https://doi.org/10.1007/s11431-020-1581-2