金属成型中的人工智能

IF 3.2 3区工程技术 Q2 ENGINEERING, INDUSTRIAL

Cirp Annals-Manufacturing Technology Pub Date : 2024-01-01 DOI:10.1016/j.cirp.2024.04.102

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引用次数: 0

摘要

众所周知，成型工艺因其复杂的加载条件和材料流动而在预测和控制方面错综复杂。本文将首先介绍成型工艺中已使用或有可能使用的人工智能算法，然后从工艺模拟、工艺设计与优化、原位工艺控制以及成型工艺和成型产品的鉴定与认证这四大支柱出发，探讨成型工艺中基于人工智能技术的最新进展。此外，还将提出人工智能在成形领域学术研究和工业应用的未来发展方向，以利用数字化和数据科学探索成形工艺的新解决方案。

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Artificial intelligence in metal forming

Forming processes are known for their intricacies in prediction and control due to the complex loading conditions and material flow. This paper will first introduce the AI algorithms used or having potential to be used in forming, and then investigate the state-of-the-art advances of AI-based technologies in forming processes with four main pillars of process simulation, process design and optimization, in-situ process control, and qualification and certification of forming processes and formed products. Future directions of AI in forming for both academic research and industrial applications will be proposed to leverage digitalization and data science to explore new solutions in forming processes.

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来源期刊

Cirp Annals-Manufacturing Technology 工程技术-工程：工业

CiteScore

7.50

自引率

9.80%

发文量

137

审稿时长

13.5 months

期刊介绍： CIRP, The International Academy for Production Engineering, was founded in 1951 to promote, by scientific research, the development of all aspects of manufacturing technology covering the optimization, control and management of processes, machines and systems. This biannual ISI cited journal contains approximately 140 refereed technical and keynote papers. Subject areas covered include: Assembly, Cutting, Design, Electro-Physical and Chemical Processes, Forming, Abrasive processes, Surfaces, Machines, Production Systems and Organizations, Precision Engineering and Metrology, Life-Cycle Engineering, Microsystems Technology (MST), Nanotechnology.