Intelligent data-driven system for mold manufacturing using reinforcement learning and knowledge graph personalized optimization for customized production

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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Bibliographic Details
Main Authors: Chengcai He, Jiaxing Deng, Jingchun Wu, Beicheng Qin, Jinxiang Chen, Yan Li, Qiangsheng Huang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Mold intelligent data-driven system
Personalization
Reinforcement learning
Knowledge engineering
Knowledge graph
Online Access:https://doi.org/10.1038/s41598-025-08399-z
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https://doi.org/10.1038/s41598-025-08399-z

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