Research on Intelligent Gate Scheme Design

for Injec-tion Molding based on

Fuzzy Rough Set Model

Shi Feng  Lou Zhenliang

(Shanghai Jiaotong University)

Lu Jingui

(Nanjing University of Chemical Technology)

Zhang Yongqing

(Shanghai Jiaotong University)

Fang Lixiang

(Yizheng Chemical Fibre Co., Ltd.)

Abstract: The gate is one of the most important parts in injection mold, which has the direct influence on the quality of the injection products. The design of the gate schemes depends on prior experience and knowledge. Due to the vagueness and uncertainty in the scheme design of the gate, the classical rough set theory is not effective. A fuzzy rough set model is proposed, which is not based on equivalent relation but on fuzzy similarity relation. Then an inductive learning algorithm based on fuzzy rough set model (FRILA) is presented. Compared to the decision tree algorithms, the proposed algorithm can generate less fuzzy rules and the generated rules are more concise. Finally, an intelligent gate scheme design prototype system based on the gate scheme design knowledge base is developed, which can improve the efficiency of the gate design.

Key words: Fuzzy rough set   Injection mold  Gating design   Knowledge acquirement

CLC No: TQ330

国家自然科学基金(60175019)、教育部优秀青年教师资助计划和上海市高等学校青年科学基金资助项目. Received 20020507, received in revised form 20030130