Research On Mathematical Model Of Hot Rolling Process For Medium And Heavy Plate Of C19400 Alloy

C19400 alloy is an age-strengthened copper alloy.This alloy is widely used in electronics,computer communication equipment and other fields due to its high strength,hardness and good thermal conductivity,electrical conductivity,electroplating and brazing.The characteristics of multiple orders,multiple specifications,and small batches of C19400 alloy strips cause frequent batch switching in the production process and large fluctuations in production rhythm,leading to problems such as low product quality stability,low production efficiency,and high production costs.In order to promote the informatization,automation,and intelligence of sheet and strip production,and to obtain qualified sheets and strips with low cost,strong stability,and excellent quality,it is of great significance to study the mathematical model of sheet and strip hot rolling process.In this paper,the as-cast C19400 alloy is used as the research object,and the isothermal hot compression test is performed on the as-cast C19400 alloy under the conditions of deformation temperature of 700-950?,strain rate of 0.001-10 s^-1 and50%deformation.The stress-true strain curve is calculated by MATLAB to calculate the high temperature constitutive equation and thermal processing diagram of the alloy.Based on the obtained constitutive equation,a reversible hot rolling finite element model is established and verified based on the DEFORM-3D finite element platform and enterprise production process;The simulation calculation of the rolling temperature is 890,920 and 950?,the hot rolling deformation is 9.4%,14.1%and18.4%,and the rolling speed is 0.9,1.0 and 1.1 m?s^-1.Second reversible hot rolling process,extract equivalent stress and equivalent strain field data,use regression analysis method to establish equivalent stress and equivalent strain field process mathematical model;use BP and particle swarm optimization BP neural network method to establish hot rolling The mathematical model of the braking force process is compared with the measured data of hot rolling in an enterprise.The results show:1.The as-cast C19400 alloy is a material with positive strain rate sensitivity and negative deformation temperature sensitivity.At the initial stage of alloy deformation,the alloy undergoes a typical work hardening phenomenon;as the hot compression deformation continues,the strain rate is 0.001,0.01,0.1,and 1 s^-1,the alloy softening is mainly dynamic recovery.The safe hot-working safe zone of as-cast C19400 alloy is:889-950?,0.0295-2.6823 s^-1,the peak power dissipation coefficient is 26.6%.2.The thermal deformation activation energy Q of the as-cast C19400 alloy was calculated by programming with MATLAB software to be 353.97 k J/mol,and the Arrhenius hyperbolic sine high temperature peak stress constitutive equation of the alloy with Z parameters was constructed.Among them,the average relative error AARE between the calculated stress and the experimental stress of the constitutive equation is 2.71%,and the correlation coefficient R is 0.9977.The calculated results are highly consistent with the experimental results,and the degree of fitting is high.3.Using DEFORM-3D finite element simulation software,a multi-pass reversible hot-rolling thermo-mechanical coupling finite element model of C19400 alloy plate was established.The rolling force data of the company was used to verify its accuracy,and the measured rolling force value and simulation calculation were obtained.The value correlation coefficients R are 0.970,0.996 and 0.994,and the average relative errors AARE are 5.8%,3.3%and 4.1%,respectively.The simulation calculation results are in good agreement with the actual situation on site.4.Using multiple linear regression analysis method,the process mathematics of hot rolling equivalent stress and equivalent strain field with dependent variables as hot rolling equivalent stress and equivalent strain and independent variables as hot rolling temperature,hot rolling deformation and hot rolling rate model.The correlation coefficients R of each parameter and rolling force were 0.9693 and 0.9660,and the model was tested by F test and p value test.The results of the three statistical evaluation methods were consistent.There is a significant linear correlation between rolling temperature,hot rolling deformation and hot rolling speed,so the mathematical model of hot rolling equivalent stress field process can be used..5.A mathematical model for hot rolling process of alloy medium and thick plates based on BP artificial neural network was established,and the optimal topology of the neural network model was determined to be 3-12-1.The correlation coefficient of the obtained sample data was 0.98211.The relative error of the rolling force data measured during the 9 passes and the model calculation is 4%at the maximum and0.2%at the minimum.A mathematical model of the hot rolling rolling force process of alloy plate based on PSO-BP artificial neural network is established,and the samples are obtained.The correlation coefficient of the data is 0.99648.The relative error between the measured and calculated rolling forces of the 9 hot rolling passes is 1.2%at the maximum and 0.03%at the minimum.It is shown that the rolling force model predicted by the rolling force model based on the PSO-BP artificial neural network is significantly more accurate than the rolling force model predicted by the rolling force model of the BP artificial neural network.