Font Size: a A A

Study On Surface Temperature Field Of Hot Plate Of Vulcanizing Machine Based On BP Neural Network

Posted on:2019-02-02Degree:MasterType:Thesis
Country:ChinaCandidate:L YuFull Text:PDF
GTID:2381330590476106Subject:Engineering
Abstract/Summary:
Hot plate is the key structure of vulcanizing machine when vulcanizing.Its function is to provide the necessary temperature when rubber is vulcanized,and the surface of hot plate is directly contacted with the moulds of vulcanized products.Therefore,the temperature difference of the surface is directly related to the quality of products after curing.At present,the most commonly used hot plate heating methods are electric heating and heat conduction oil heating.The main factors affecting the surface temperature difference of electric heating hot plate are the distance between holes of heat pipe and the power of heat pipe.The main factors affecting the surface temperature difference of heat conduction oil heating hot plate are the physical properties of heat conducting oil medium(such as heat conduction oil specific heat,density,etc.),heat conduction oil pipeline arrangement(including pipeline spacing and pipeline arrangement,inlet flow rate,etc.).Through optimization analysis,the surface temperature difference of hot plate can reach the relevant industry standard,but the inherent heating time of the two heating methods is slow,the temperature control precision is low,and the temperature control is easy to be affected by environmental factors,etc.It has not been solved all the time,so it is of great significance to further study the temperature difference uniformity on the surface of the hot plate.The main contents of this paper are as follows:First,using the learning characteristics of BP neural network error back propagation algorithm,the nonlinear relationship between heat pipe spacing and heat pipe power and surface temperature difference of hot plate is modeled and solved.The BP neural network model is trained and verified to determine the complex relationship between the surface temperature difference of hot plate and the distance between the holes of heat pipe and the power of heat pipe,which provides a certain reference for engineering design.Secondly,the numerical simulation and optimization analysis of electromagnetic induction heating for hot plate are carried out by using ANSYS APDL(parametric design language).Firstly,the three-dimensional model of hot plate and coil is established by PROE software.Then it is introduced into ANSYS software for mesh division and boundarycondition setting,and the three-dimensional transient electromagnetic field analysis of hot plate is carried out through load setting,and then the results of electromagnetic field analysis are introduced into the temperature field module for heat transfer analysis.Thirdly,the influence of heating frequency and current load density on the temperature difference of electromagnetic heating of hot plate is analyzed,and the orthogonal experiment method is used.The optimum parameters,including heating time,are found to be simulated again,and the results have some reference value for the application of electromagnetic heating mode of hot plate in flat plate vulcanizer.
Keywords/Search Tags:Hot plate, Temperature field, BP Neural network, Electromagnetic induction heating
Related items