Research on Super-hard Materials and Products Knowledge Base with ANN and RS Method
This paper systematically introduces the idea of establishment of a super-hard materials and products knowledge system. In order to improve the developing efficiency and accuracy of super-hard materials (Artificial diamond and Cubic boron nitride) and related products, a knowledge system was developed according to the principle of Knowledge-Based Engineering. Corresponding constituents were considered to constitute the system such as the knowledge base (Oriented to relevant textbooks, literatures, and experiences), database (Oriented to relevant standards, industrial products, raw materials, manufacturing technology, equipments, processed objects, and parameters), and image base (oriented to graphite-diamond phase diagram, boron nitride phase diagram, structure of crystalline, ceramic phase diagram, metal phase diagram, mold image). The ANN (Artificial Neural Network) method was carried out to analyze the experiential data. Parameters for the preparation of super-hard materials and related products were optimized. RS (Rough Set) method was applied to develop a new method for raw materials selection. A preliminary knowledge-based system and expert system of superhard materials and related products was proposed on the bases of the ANN and RS investigation.
super-hard materials products artificial diamond cubic boron nitride knowledgebase database ANN rough set
Zhengxin Li Rui Zhang Dongdong Song
School of Materials Science and Engineering of Zhengzhou University, Zhengzhou 450001, Henan Provinc School of Materials Science and Engineering of Henan University of Technology ,Zhengzhou 450007,Hena School of Materials Science and Engineering of
国际会议
The 2nd Asian Materials Database Symposium(第二届亚洲材料数据库会议 AMDS 2010)
三亚
英文
248-252
2010-03-10（万方平台首次上网日期，不代表论文的发表时间）