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

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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.

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Authors and Affiliations

  1. State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, 310027, China

    YuanBin Wang, Tao Peng, HuaYong Yang & Jun Zou

  2. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, China

    Pai Zheng

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  1. YuanBin Wang
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  2. Pai Zheng
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  3. Tao Peng
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  4. HuaYong Yang
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  5. Jun Zou
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Correspondence to Jun Zou.

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This work was supported by the National Natural Science Foundation of China (Grant No. 51890885) and the Natural Science Foundation of Zhejiang Province (Grant No. LY19E050019).

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Wang, Y., Zheng, P., Peng, T. et al. Smart additive manufacturing: Current artificial intelligence-enabled methods and future perspectives. Sci. China Technol. Sci. 63, 1600–1611 (2020). https://doi.org/10.1007/s11431-020-1581-2

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