Intelligent data-driven system for mold manufacturing using reinforcement learning and knowledge graph personalized optimization for customized production
Abstract Traditional manufacturing models are heavily dependent on standardized processes, which makes it challenging to accommodate customized production needs. To address this limitation, this study presents an optimized mold digitalization system grounded in knowledge engineering. The proposed sy...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-08399-z |
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