An Expert System of Cubic Boron Nitride (CBN) Grinding Wheel Dressing in Cam Grinding

摘要

Rule based reasoning (RBR) embodied in cam grinding will extend the application of knowledge-based system by utilizing previous knowledge and experience. However, it is very difficult to make rules without exact exceptions. Knowledge acquisition also is a bottleneck problem. Additionally, traditional methods of induction learning from previous experiences limit the development of RBR methodology. This article presents a novel methodology to apply Rough Set (RS) algorithm in rule induction and rule base establishing for RBR system. The RS-RBR system is used in cubic boron nitride (CBN) grinding wheel dressing for cam numerical control (NC) grinding. In the system, the RS is used to process the rule extraction; the RBR is used to assess the dressing parameters. A series of experiments have been accomplished by CNC8312A NC camshaft grinder. Finally, a case study is also implemented to prove the proposed method.View full textDownload full textKeywordsCam grinding, Database, Expert system, Inference engine, Process parameters, Rough set, Rule extraction, Wheel dressingRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/10426914.2011.654167