Jun Wang, Chengchang Jia, and Sheng Yin, Numerical prediction of the incremental melting and solidification process, J. Univ. Sci. Technol. Beijing, 10(2003), No. 4, pp. 50-54.
Cite this article as:
Jun Wang, Chengchang Jia, and Sheng Yin, Numerical prediction of the incremental melting and solidification process, J. Univ. Sci. Technol. Beijing, 10(2003), No. 4, pp. 50-54.
Jun Wang, Chengchang Jia, and Sheng Yin, Numerical prediction of the incremental melting and solidification process, J. Univ. Sci. Technol. Beijing, 10(2003), No. 4, pp. 50-54.
Citation:
Jun Wang, Chengchang Jia, and Sheng Yin, Numerical prediction of the incremental melting and solidification process, J. Univ. Sci. Technol. Beijing, 10(2003), No. 4, pp. 50-54.
A mathematical formulation is applied to represent the phenomena in the incremental melting and solidification process (IMSP), and the temperature and electromagnetic fields and the depth of steel liquid phase are calculated by a finite difference technique using the control volume method. The result shows that the predicted values are in good agreement with the observations. In accordance with the calculated values for different kinds of materials and different size of molds, the technological parameter of the IMS process such as the power supply and the descending speed rate can be determined.
A mathematical formulation is applied to represent the phenomena in the incremental melting and solidification process (IMSP), and the temperature and electromagnetic fields and the depth of steel liquid phase are calculated by a finite difference technique using the control volume method. The result shows that the predicted values are in good agreement with the observations. In accordance with the calculated values for different kinds of materials and different size of molds, the technological parameter of the IMS process such as the power supply and the descending speed rate can be determined.