Intelligent manufacturing system of impeller for computer numerical control (CNC) programming based on KBE

Ling-yun Wang , Hong-hui Huang , Rae W. West , Da-zhong Wang

Journal of Central South University ›› 2014, Vol. 21 ›› Issue (12) : 4577 -4584.

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Journal of Central South University ›› 2014, Vol. 21 ›› Issue (12) : 4577 -4584. DOI: 10.1007/s11771-014-2463-9
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Intelligent manufacturing system of impeller for computer numerical control (CNC) programming based on KBE

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Abstract

To solve the problem of advanced digital manufacturing technology in the practical application, a knowledge engineering technology was introduced into the computer numerical control (CNC) programming. The knowledge acquisition, knowledge representation and reasoning used in CNC programming were researched. The CNC programming system functional architecture of impeller parts based on knowledge based engineering (KBE) was constructed. The structural model of the general knowledge-based system (KBS) was also constructed. The KBS of CNC programming system was established through synthesizing database technology and knowledge base theory. And in the context of corporate needs, based on the knowledge-driven manufacturing platform (i.e. UG CAD/CAM), VC++6.0 and UG/Open, the KBS and UG CAD/CAM were integrated seamlessly and the intelligent CNC programming KBE system for the impeller parts was developed by integrating KBE and UG CAD/CAM system. A method to establish standard process templates was proposed, so as to develop the intelligent CNC programming system in which CNC machining process and process parameters were standardized by using this KBE system. For the impeller parts processing, the method applied in the development of the prototype system is proven to be viable, feasible and practical.

Keywords

knowledge engineering / generalized knowledge / intelligent programming / impeller machining

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Ling-yun Wang, Hong-hui Huang, Rae W. West, Da-zhong Wang. Intelligent manufacturing system of impeller for computer numerical control (CNC) programming based on KBE. Journal of Central South University, 2014, 21(12): 4577-4584 DOI:10.1007/s11771-014-2463-9

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