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Journal of Intelligent Manufacturing

Erschienen in:

28.02.2018

A knowledge based intelligent process planning method for controller of computer numerical control machine tools

verfasst von: Yingxin Ye, Tianliang Hu, Yan Yang, Wendan Zhu, Chengrui Zhang

Erschienen in: Journal of Intelligent Manufacturing | Ausgabe 7/2020

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Abstract

The development of computer, internet and information technology puts forward higher demands for Computer Numerical Control (CNC) machine tools to improve the intelligence in many aspects. Among these aspects, intelligent process planning plays an important role in current changeable market and customized product promotion by shortening production cycle and providing more stable process planning ability. To realize intelligent process planning, a CNC controller with cloud knowledge base support is proposed with ability of making process planning autonomously based on workpiece design. Previous work of knowledge model and cloud knowledge base framework design is introduced, and then this paper focuses on the complete process planning method within the intelligent CNC controller. Both interactivity between knowledge base and CNC controller, and query/infer mechanism in knowledge base are illustrated in detail. A case study of two shafts process planning is shown to demonstrate the feasibility of the intelligent process planning method.

Vorheriger Artikel Correction to: Blockchain-based business process management (BPM) framework for service composition in industry 4.0

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Titel: A knowledge based intelligent process planning method for controller of computer numerical control machine tools
verfasst von: Yingxin Ye
Tianliang Hu
Yan Yang
Wendan Zhu
Chengrui Zhang
Publikationsdatum: 28.02.2018
Verlag: Springer US
Erschienen in: Journal of Intelligent Manufacturing / Ausgabe 7/2020
Print ISSN: 0956-5515
Elektronische ISSN: 1572-8145
DOI: https://doi.org/10.1007/s10845-018-1401-3

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