【摘要】 在高速切削加工中应用基于实例推理 ,可充分利用以前的加工实例积累的切削数据和经验 ,这对推广高速切削技术的应用具有重要意义。本文针对工件的高速切削加工 ,提出了简洁可行的用结构化数据表示的实例描述模型 ;针对实例相似度问题 ,提出了对实例属性的局部相似度进行分类 ,然后用复合算法计算整体相似度的方法 ;简要介绍了基于实例推理的高速切削数据库系统 HISCUT的结构和功能更多还原

【Abstract】 By applying case based reasoning in high speed machining, previous cases and experiences can be utilized in machining a new work piece. This is helpful to overcome the shortage of available high speed machining data, and to extend the application of high speed machining technology. Aiming at machining a work piece by high speed machining technology, a fairly defined model of case representation with structural data is proposed in this paper. The main objective of calculating similarity is to find out the most similar case to the new problem. A composite similarity measure for calculating the global similarity is presented, while the case local similarities are classified into four types:numerical, enumerative, independent, and dependent. Examples of case retrieval and similarity calculations are also investigated. Finally, a high speed machining CBR database system HISCUT with capability of self learning is implemented.更多还原