Temperature field analysis and adaptive neuro-fuzzy inference system for mgo single crystal production

Tie Li; Zhen Wang; Ninghui Wang

doi:10.1007/s11595-012-0607-z

Journal of Wuhan University of Technology Materials Science Edition ›› 2012, Vol. 27 ›› Issue (6) : 1089 -1095. DOI: 10.1007/s11595-012-0607-z

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Temperature field analysis and adaptive neuro-fuzzy inference system for mgo single crystal production

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Abstract

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.

Keywords

finite element analysis / MgO single crystals furnace / temperature field / ANFIS

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Tie Li, Zhen Wang, Ninghui Wang. Temperature field analysis and adaptive neuro-fuzzy inference system for mgo single crystal production. Journal of Wuhan University of Technology Materials Science Edition, 2012, 27(6): 1089-1095 DOI:10.1007/s11595-012-0607-z

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