Knowledge Based System Fusing Experimental Knowledge & Theoretical Model Methods for Cutting Operation

在构建智能制造系统时，建立一种形式的知识表示体系是非常重要的。将模糊推理与方程、仿真等理论模型方法相结合，开发了一种基于经验补偿模型误差的知识表示系统。首先介绍了一种经验补偿模型误差知识表示的概念和颤振稳定边界预测系统。在车削加工计划中，还需要一个有效地采用多个相互关联的模型的知识表示系统。描述了具有层次结构的高级系统的构造，在该系统中，高层模型的参数由低级模型决定，即所谓的多级推理。它已应用于预测二维和三维切削的振动常数和颤振极限。

It is important to establish a form of the knowledge representation system when we construct an intelligent manufacturing system. A knowledge representation system which compensates for errors of models by experiences has been developed, based on a combination of fuzzy inference and theoretical model methods like equations, simulation and so on. It has been applied in a case study to compensate and to predict for chatter vibration in an operation plan for turning.First, it is described that a conception of the knowledge representation for compensating errors of models by experience and the system to predict for stability boundary of chatter vibration.On cutting operation plan, it is also necessary to have the know ledge representation system which adopts effectively many models which are related mutually. It is described that the construction of the advanced system which has a hierarchical structure in which parameters of higer-level models are decided by lower-level models, so called the multistage inference. It has applied to predict vibration constants, and the limit of chatter vibration on both two and three dimensional cutting.