An Expert System of Cubic Boron Nitride (CBN) Grinding Wheel Dressing in Cam Grinding
An Expert System of Cubic Boron Nitride (CBN) Grinding Wheel Dressing in Cam Grinding
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DOI：
10.1080/10426914.2011.654167
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发表时间：
2012-09
影响因子：
4.8
通讯作者：
Xiaohong Zhang;An Weike;Cao Hui
中科院分区：
文献类型：
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作者：
Xiaohong Zhang;An Weike;Cao Hui
基于规则的推理（RBR）在凸轮磨削加工中的应用，将利用前人的知识和经验，拓展知识型系统的应用。然而，制定没有明确例外的规则是非常困难的。知识获取也是一个瓶颈问题。此外，从以往经验中归纳学习的传统方法限制了RBR方法的发展。本文提出了一种将粗糙集算法应用于RBR系统的规则归纳和规则库建立的新方法。将RS-RBR系统应用于凸轮数控磨削的立方氮化硼砂轮修整。在系统中，使用RS进行规则提取；RBR用于评价选矿参数。在CNC8312A数控凸轮轴磨床上完成了一系列实验。最后，通过实例验证了该方法的有效性。
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.