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Open Access

Intelligent forming technology: State-of-the-art review and perspectives

Danni BAIa,b, Pengfei GAOa,b( ), Xinggang YANa,b, Yao WANGa,b
State Key Laboratory of Solidification Processing, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China
Shaanxi Key Laboratory of High-Performance Precision Forming Technology and Equipment, School of Materials Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China

Peer review under responsibility of Editorial Committee of JAMST

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Abstract

The rapid development of artificial intelligence (AI) technology makes it possible for achieving intelligent forming. It will bring great breakthrough of material forming technology, realizing the unmanned watching, intelligent processing design and intelligent control during forming process. Moreover, it can greatly improve the forming accuracy, mechanical properties, forming efficiency and economic benefits, and promote the continuous emergence of new forming technology. Thus, the intelligent forming technology, integrating AI technology and advanced forming technology, has become an international research focus. This paper reviews the recent developments of intelligent forming technology from four kinds of common forming technology, i.e., intelligent casting, intelligent plastic forming, intelligent welding, and intelligent additive manufacturing. Moreover, the current research issues and future trends of intelligent forming technology are put forward at the end of the paper.

Keywords

Intelligent formingArtificial intelligenceCastingPlastic formingWeldingAdditive manufacturing

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Journal of Advanced Manufacturing Science and Technology
Volume 1 Issue 3,
July 2021
DOI: 10.51393/j.jamst.2021008
Cite this article:
BAI D, GAO P, YAN X, et al. Intelligent forming technology: State-of-the-art review and perspectives. Journal of Advanced Manufacturing Science and Technology, 2021, 1(3): 2021008. https://doi.org/10.51393/j.jamst.2021008

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Received: 02 April 2021
Revised: 18 April 2021
Accepted: 05 May 2021
Published: 15 July 2021
© 2021 JAMST All rights reserved.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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