| Internal heating vacuum furnace adopts advanced technology, has the advantages of short flow, low energy consumption. less pollutionã€relatively simple equipment, high rate metal recovery, the separation is applicable to a variety of two alloys, is the important equipment to develop new materials and nonferrous metal smelting[16]. But because of the vacuum furnace temperature is difficult to measure accurately, the furnace temperature field distribution is not clear, the lack of effect factors on the vacuum furnace temperature mathematical modeling study etc, have restricted the rapid development of vacuum metallurgy furnace. We need to study internal heating vacuum furnace:how to master the real-time distribution of the temperature field in furnaceã€how to improve the accuracy of temperature control and how the temperature changes with the reaction and other issues, is very important to study the mechanism of vacuum furnace on temperature field.Principles of two element alloy separation is metal up to a certain temperature phase transition occurs. In order to furnace temperature distribution and change to explore the use of internal heating vacuum furnace for separating different alloys, it is necessary to study on the empty load condition, the distribution of temperature field in the furnace. With small internal heating vacuum furnace as the research object, using the finite element method and mathematical method to establish the model of the temperature field distribution in vacuum furnace, and through the ANSYS software to simulate the model, Calculate the vacuum furnace into the insulation stage when the furnace temperature distribution and the corresponding node temperature value. At the same time, in order to verify the validity of the experimental data, after treatment, and the simulation nodes corresponding comparison of calculated analysis, results showed that:The maximum relative error of calculation of temperature and experimental measurement of three nodes on the isothermal surface value is 3.696%; the minimum relative error is 0.506%; the average relative error is 1.909%. Through comparative test, verified the correctness of the vacuum furnace model simulation method, can be added with different load conditions, the reference method for temperature field simulation. In addition, according to the technology of vacuum metallurgical requirements for the furnace temperature uniformity determination, the experimental data showed that: the temperature uniformity of four measuring points on the surface of T1 is the best; the temperature uniformity of four measuring points on the surface of T2 is the worst. Analysis shows that the temperature control quality is one of the main factors, through the experimental modeling method derives transfer function, the Smith estimate controller to improve the system dynamic control effect and put forward the vacuum furnace multi-point average temperature feedback control system to improve the uniformity of temperature field.In the understanding of the distribution of empty load type vacuum furnace temperature field can further improve the heat after the temperature detection and monitoring system of the existing, to obtain more comprehensive and effective data, optimization.research on different metal vacuum smelting reaction mechanism and vacuum furnace process parameters with a certain significance. |