个人信息Personal Information
研究员
博士生导师
硕士生导师
性别:男
毕业院校:东北师范大学
学位:学士
所在单位:电子信息与电气工程学部
电子邮箱:nhwang@dlut.edu.cn
Temperature field analysis and adaptive neuro-fuzzy inference system for mgo single crystal production
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论文类型:期刊论文
发表时间:2012-12-01
发表刊物:JOURNAL OF WUHAN UNIVERSITY OF TECHNOLOGY-MATERIALS SCIENCE EDITION
收录刊物:Scopus、SCIE、EI、ISTIC
卷号:27
期号:6
页面范围:1089-1095
ISSN号:1000-2413
关键字:finite element analysis; MgO single crystals furnace; temperature field; ANFIS
摘要:The temperature field in MgO single crystal furnace is crucial to grow high-purity MgO single crystals with large sizes. In order to build proper temperature gradient, firstly finite element method (FEM) was used to study the temperature field distributions, and then a temperature controller with adaptive neurofuzzy inference system (ANFIS) was developed based on the result of FEM and practical experiences. When the temperature in MgO single crystal furnace was changed, the controller would regulate the positions of threephase electrodes and the voltage of the power simultaneously. The experimental results indicate that using the adaptive neuro-fuzzy control system can improve the quality and the quantity of the MgO single crystal production.