一种滚齿工艺参数智能决策支持系统

An Intelligent Decision Support System for GearHobbing Process Parameters

本文提出一种基于图论和实例推理的滚齿工艺参数智能决策支持系统.分析了该系统接口,设计了系统概念模型,研究了滚齿工艺参数智能决策引擎的推理和学习流程,其中,运用图论构建工艺实例网络,运用物元模型、数据字典、工艺实例网络组建相似实例检索算法.最后进行了算法验证和系统开发,结果表明,该系统是可行和有效的.

In this paper, an intelligent decision support system（IDSS） for hobbing process parameters was proposed. The interface of thesystem was analyzed. Conceptul model of proposed system was designed. Reasoning and learning process of intelligent decisionengine for hobbing process parameters was studied. Graph theory was used to construct process case network （PCN）.Matter-element model, data dictionary and proposed PCN were connected to conduct similar case retrieval. Lastly, an example isprovided to exam the algorithm, and system development are conducted.