The interaction between the cerium and tin in steel was studied by vacuum induction melting, Xray diffraction, optical microscopy, electronic probe microscopy analysis, and microhardness tester.
The relationships of cleanness, undercooling and grain size of low carbon steel have been investigated by using of vacuum glass encasement levitation melting.
A prediction model of molten steel temperature based on RBF neural network was developed to reduce cost and improve temperature control accuracy for vacuum induction melting.