Analysis And Prediction Of Erosion Properties Of 45 Steel Mold Materials

The phenomenon of material surface damage and mass loss caused by the impact of solid particles or fluids on the material at a certain speed and angle is erosion wear,which is one of the main causes of wear failure of industrial equipment such as plastic molds.In the field of plastic processing,it is often necessary to add fillers to the plastic for improving the performance of plastic products.When the plastic melt flows in the mold cavity,the filler particles erode the mold material under the action of the flow field,causing the mold material surface to wear.The erosion wear of the filler particles not only affects the surface roughness of the mold,but also changes the structure of the mold,thereby shortening the service life of the mold.Therefore,research on the erosion wear process of mold materials,analysis and prediction of the erosion wear resistance of mold materials can help optimize the plastic processing technology and mold design,reduce the wear of filler particles on the mold,and improve the mold to a certain extent,has a certain positive significance for the development of the plastic industry.In this paper,based on the explicit dynamic method and the finite element simulation technology,ANSYS LS-DYNA software was used to study the impact process of plastic filler particles on mold materials under different conditions,analyze the erosion mechanism,and reveal the main factors affecting the erosion wear of mold.Finally,a neural network model was build to predict the erosion wear of mold.The specific research contents are as follows:(1)Taking quartz sand particles impacting No.45 mold steel as an example,a three-dimensional single particle erosion model and a three-dimensional six particles erosion model were respectively established by using ANSYS LS-DYNA software,to simulate the process of spherical quartz sand particles impacting No.45 mold steel.Through the model simulation,the erosion pit morphology after the particles hit the target materials is given,and the variation law of energy in the system during single-particle and multi-particle erosion and the variation characteristics of the surface stress of the mold material are studied.(2)From the aspects of particle properties and environmental factors as entry points,study the influence of particle diameter,erosion speed,erosion angle and environmental temperature on the erosion wear of mold materials,and analyze the erosion rate of mold materials with various factors law of change.The results show that the erosion rate of the target materials increases with the increase of impact velocity;it slowly increases with the increase of particle diameter and temperature;when the erosion angle is 30°,the erosion rate is the maximum.(3)A orthogonal test is designed,and the results of the test are analyzed using two methods,range analysis and analysis of variance.The results show that the speed has the greatest influence on the target materials erosion rate,followed by the erosion angle,and the particle diameter and temperature have a relatively small effect on the target materials erosion rate.(4)Based on the BP neural network algorithm,the erosion prediction model of quartz sand particles on No.45 mold steel was constructed,and the prediction effect of the model was tested.By investigating the regression coefficients,iteration times and error extreme values of the samples,the model meets the expected standard and can be used to predict the erosion rate of quartz sand particles eroding No.45 mold steel.