Key Techniques Researching On The Intelligentized Die CAD Based On Case-Based Reasoning And Rough Set Theory

Die design is a complex processing, and it seriously depends on the experience of the designer. How to improve the extent of the Die design intelligence that is always the keystone to research in the field of the Die CAD. This paper will apply Case-based Reasoning (CBR) technique and Rough Sets Theory (RST) in the field of the Die design, so it can implement intelligentized reasoning of Die design using existed project.It should improve the design quality and efficiency, shorten the period of development and reduce the cost of Die.The following points are finished in the dissertation:Firstly, this paper expatiates CBR technique and RST in details. Then it discusses the mainly technique of case retrieval in current, and summarizes their advantages and disadvantages in applied areas.Secondly, the paper builds a Die-product logical framework which supports CBR, based on which it discusses case description, expression strategy and organization method. It adopted case description method based on object oriented framework to describe the die cases, and realized using Related-database System to design Die cases database.Thirdly, in the foundation of the analysis to the practical die design processing and the intelligent CAD system, it builds a functional model based on IDEFO's Die CAD system. Therefore, this paper designs and realizes a intelligentized Die CAD that based on CBR and RST.Fourthly, the thesis analyzes die case database using RST, It puts forward a method using grade classification and decision attributes support degree to deal with the quantitative features. And it confirms the important degree of all types of characteristic attributes. It aims to build up a retrieval based on case's key attributes. Then it makes use of the nearest neighbor strategy to implement the similar matching between the target case and source case.