A systematic multi-layer cognitive model for intelligent machine tool

Tengyuan Jiang (), Jingtao Zhou (), Xiang Luo, Mingwei Wang and Shusheng Zhang
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Tengyuan Jiang: The Cognitive Manufacturing Laboratory (Northwestern Polytechnical University)
Jingtao Zhou: The Cognitive Manufacturing Laboratory (Northwestern Polytechnical University)
Xiang Luo: China CNTC International Tendering Corporation
Mingwei Wang: The Cognitive Manufacturing Laboratory (Northwestern Polytechnical University)
Shusheng Zhang: The Cognitive Manufacturing Laboratory (Northwestern Polytechnical University)

Journal of Intelligent Manufacturing, 2025, vol. 36, issue 7, No 22, 4915-4939

Abstract: Abstract As the basic manufacturing capabilities provide unit of the production system, the intelligent level of the CNC machine tool will affect the realization of intelligent manufacturing. Academia has carried out a lot of intelligent research on CNC machine tool from technical perspective, but there still needs a systematic cognitive model to promote the construction of cognitive abilities, to support the intelligent realization and continuous improvement of CNC machine tool. Therefore, this paper proposes a three-part, seven-layer cognitive model based on cognitive informatics to promote the construction of cognitive abilities and the intelligent transformation of CNC machine tool. Firstly, a systematic multi-layer cognitive model is proposed, and each cognitive layer is introduced to promote the different cognitive abilities construction of CNC machine tool. Then, this paper introduces the cognitive analysis loop and the cognitive learning loop contained in the multi-layer cognitive model, which can promote the construction of the adaptive and continuous learning abilities of CNC machine tool. The evaluation indicators of the intelligence machine tool are given, which is used to evaluate machine tool intelligence model. Furthermore, the cognitive enabling technologies of the multi-layer cognitive model for intelligent machine tool is presented, which supports the realization of cognitive abilities such as analysis, decision making, and learning. Finally, the feasibility of the proposed systematic multi-layer cognitive model is verified by the developed computable digital twin platform and comparison before and after implementation for intelligent machine tool.

Keywords: Cognitive model; Intelligent machine tool; Multi-layer; Digital twin; Cognitive manufacturing (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s10845-024-02481-5

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