Numerical Simulation Of Electromagnetic-Thermal Coupling Field And Regression Analysis Of Temperature In Induction Heating

There are many problems and limitations which are difficult to solve using the oxy-acetylene torch in the shipyard's practical processing and experimenting by the automated machine of the process of steel plate forming by line heating and water cooling on hull outer armor plate. So the author presents to substitute electromagnetic induction heating for oxy-acetylene torch heating to solve those problems, improve the speed and quality of steel plate forming by line heating, improve the conditions of labor's work circumstance, and economize energy sources. This study is derived from the laboratory research project "the application of electro-magnetic induction heating in process of steel plate forming by line heating". In this paper, the following subjects were studied through theoretic study, numerical analysis and experiments means:1. This paper expatiated on the mechanism, the parameters which influence the variation of energy, loss of energy and merits of induction heating basing on the theory of induction heating and energy transfer. And discussed the choice of induction power device.2. This study developed an analysis model of electromagnetic-thermal coupling field, simulated the electromagnetic and heat transfer phenomena using the present model by finite element method, and obtained the law of distribution of the plate's partial temperature field.3. The main parameters that influence the temperature value and distribution are current frequency, current density and time. The paper analyzed the relationships of temperature and these parameters through the numerical computation of electromagnetic-thermal coupling field under different combination of parameters. Based on the analyzed results data, the paper presented an experimental regression mathematic model of temperature and it's parameters.4. A series of induction heating experiments was carried out with various conditions such as current frequency, current density and time. We measured the transient thermal distribution, acquired useful data to identify the characteristics of induction heating and for comparison with the analysis results, and validated and analyzed the regression model of temperature and it's parameters.5. On the base of summarizing the previous results, the research works to be continued is presented and in which the key problems to be solved are also pointed out.