Research And Application Of The Influence Of Heat Treatment Process Parameters On Magnetic Properties Of Relay Soft Magnetic Materials

Electromagnetic relay contains a lot of soft magnetic materials,the performance of the soft magnetic material directly determines the overall performance of the product.In the actual production of the relay,it was found that the substandard magnetic property of the relay's magnetic components was a considerable part of reason for the poor consistency of the relay product quality.From the perspective of the performance of relay's soft magnetic materials,there is no improvement in relay consistency at home and abroad now.However,the consistency of the magnetic properties of the relay's soft magnetic material is one of the key factors that determine the consistency of relay products.Therefore,it is urgent to research the effect of heat treatment process parameters on the magnetic properties of relay's soft magnetic materials.This paper took a certain type of electromagnetic relay as the research object and improved the consistency of relay products by studying the effects of heat treatment process parameters on the performance of the relay.Soft magnetic materials have different magnetic properties due to their different grain sizes.As the soft magnetic material grain evolution process simulation needs to enter the soft magnetic material constitutive model parameters,therefore,initially,this article performed high-temperature thermal compression tests on cylindrical samples of soft magnetic materials and cut off the cylindrical parts before and after compression to make metallographic specimens.The flow stress model,recrystallization model,and grain growth model parameters required for the grain simulation of the soft magnetic material were obtained by observing the metallographic structure and processing the test results.DEFORM simulation virtual prototype simulation analysis heat treatment process parameters optimizationFurthermore,DEFORM software was used to simulate the grain evolution process of the armature soft magnetic material.Through the simulation results and the armature metallographic test results,the effect of heat treatment process parameters on the grain size of the soft magnetic material was analyzed.Standard ring samples for the soft magnetic material test equipment were prepared and heat treatment with different process parameters was performed on the ring samples,the NIM-2000 S soft magnetic DC magnetic measurement system was used to test the magnetization curves of the sample before and after heat treatment,and the influence of heat treatment parameters on the magnetic properties was analyzed.Additionally,the relay physical model was established based on the three-dimensional modeling software Solid Works.Using FLUX software and ADAMS software to calculate the static characteristics of the relay.Based on the static data table of static simulation,the dynamics characteristics of relay were computed through multi-body dynamics analysis software ADAMS and MATLAB Simulink module to complete the virtual prototype of relay.In the FLUX,the magnetization curve of the soft magnetic material obtained by different heat treatment parameters was input,and the virtual prototype simulation is used to analyze the influence of the heat treatment process parameters on the static and dynamic characteristics of the relay,and the characteristic parameter with greater influence is determined as the optimized output parameter.Finally,the magnetization curve is fitted to obtain the magnetization curve under the condition of unknown heat treatment parameters.The output parameters of the relay under the corresponding parameters are obtained by the virtual prototype;the heat treatment cost function was constructed,and the heat treatment cost under each heat treatment parameter was calculated.The Kriging model was used to construct the approximate model between heat treatment process parameters to relay performance parameters and heat treatment costs.The cross-validation method was used to test the model accuracy.Then,the genetic algorithm was used to optimize the cost and performance parameters.The feasibility of the relay heat treatment process parameter optimization was verified by comparing the heat treatment costs and the relay characteristic parameters before and after optimization.