Simulation And Optimization Research On Electromagnetic Heating Hot Plate Of Tire Vulcanizer

Nowadays,tire manufacturers mostly use steam/nitrogen vulcanization process with steam as heat medium in the tire vulcanization process,resulting in serious energy waste and low energy utilization.With the aggravation of global environmental problems and energy conservation becoming a common goal,the domestic tire vulcanization industry is moving towards green sustainability,high efficiency and high quality.Electromagnetic induction heating is widely used in all walks of life as a heating technology with energy conservation and environmental protection.In order to promote the development of electromagnetic induction heating technology in the field of tire vulcanization and achieve the goal of energy saving and consumption reduction,this paper designs the coil layout scheme of electromagnetic heating hot plate of tire vulcanizer,and simulates and optimizes the temperature field of hot plate,so as to make the hot plate have good temperature uniformity.The coil layout scheme of electromagnetic induction heating hot plate is designed,and four models of distributed coil heating scheme are proposed.The analysis process of magnetothermal coupling of hot plate under workbench is studied,and the magnetothermal coupling analysis of four heating models of distributed coil heating scheme is carried out.The magnetic field distribution and temperature field distribution of the four models are compared,and it is concluded that the annular coil model has the best temperature uniformity.According to the selected hot plate coil layout scheme,the basic law that the temperature uniformity of hot plate is affected by three factors:heating frequency,current intensity and the distance between hot plate and coil is studied.The heating frequency,current intensity and the distance between the hot plate and the coil are optimized by using the orthogonal test method,and the temperature field distribution is obtained by simulation of the parameter optimization results.At this time,the maximum temperature difference of the hot plate is significantly reduced,and the temperature uniformity of the hot plate is significantly optimized and improved,which meets the vulcanization industry standard.Based on BP neural network,the temperature uniformity of hot plate is optimized and analyzed.The heating frequency,current intensity and the distance between hot plate and coil are taken as input and the maximum temperature difference of hot plate is taken as output.The prediction model of maximum temperature difference of hot plate is established and the network is trained with the help of MATLAB.The trained network model is used to predict the maximum temperature difference of the hot plate,and the ideal heating frequency,current intensity and the distance between the hot plate and the coil are obtained.The magnetic thermal coupling simulation analysis of the ideal parameters is carried out.The results show that the temperature uniformity of the hot plate meets the standards of the vulcanization industry.