Control of liquid column height in electromagnetic casting with fuzzy neural network model
(Research Center of Foundry Engineering,
Dalian University of Technology, Dalian 116024, China)
Dalian University of Technology, Dalian 116024, China)
Abstract: The control of suitable and stable height of liquid column is the crucial point to operate the electromagnetic casting(EMC) process and to obtain ingots with desirable shape and dimensional accuracy. But due to the complicated interact parameters and special circumstances, the measure and control of liquid column are quite difficult. A fuzzy neural network was used to help control the liquid column by predicting its height on line. The results show that the stabilization of the height of liquid column and surface quality of the ingot are remarkably improved by using the neural network based control system.
Key words: electromagnetic casting; shape of liquid column; fuzzy neural network; pattern recognition