数据挖掘技术在共混材料制备的工艺研究中的应用  

APPLICATION OF DATA MINING IN THE PRODUCING TECHNIQUES OF BLENDING MATERIALS

作　　者：吉旭[1] 李忠明[2] 朱立嘉[1] 

机构地区：[1]四川大学化工学院,四川成都610065 [2]四川大学高分子科学与工程学院高分子材料工程国家重点实验室,四川成都610065

出　　处：《高分子材料科学与工程》2004年第3期29-32,共4页Polymer Materials Science & Engineering

基　　金：国家自然科学基金项目资助(50103007)

摘　　要：介绍了在共混材料制备工艺研究中数据挖掘技术的应用,重点讨论了基于关联规则的模型建立与应用的过程,并用数据挖掘技术对可交联硅烷接枝聚乙烯共混材料制备中退火工艺与材料结晶性能的关联性进行了研究。最后讨论了数据挖掘技术在高分子材料领域未来的发展方向。Application of data mining techniques in the development of blending materials was introduced, and as a pivot, the establishment and application ways of the models based on the association rules, as well as an efficient means of realizing data mining were discussed. Then Data Mining was applied for study of crosslinkable silane grafted polyethylene blend. It shows that annealing is associated with the blend′s crystallizing behavior. Finally some points of how to improve the application in polymer materials science and engineering field were brought forward.

关 键 词：数据挖掘技术 共混材料 制备方法 硅烷 聚乙烯 通用塑料 

分 类 号：TQ325.12[化学工程—合成树脂塑料工业]