Research On Performance Prediction Of Hard Wire On Stelmor Control Cooling Line

The controlled cooling process of the wire has an important influence on the final mechanical properties of the wire.The continuous cooling transformation of the wire is a very complicated transformation process.The phase transformation process that occurs during the cooling process directly affects the final microstructure and comprehensive performance of the product.In order to meet the higher performance requirements of highspeed wire in the society,it is of great practical significance to develop more accurate temperature field,microstructure evolution and performance prediction models.(1)Based on the basic theory of heat transfer,the finite difference method is used to derive explicit and implicit temperature field difference calculation formulas,and a mathematical model for predicting the temperature field of the wire on the Stelmor controlled cold line is established to simplify the temperature solution model.Discretize the calculation area,replace the differential quotient with a finite difference quotient approximation on a finite number of nodes,and replace the differential equation with a differential equation in algebraic form.Different temperature drop curves of the wire can be calculated according to different cooling processes.(2)The finite element simulation software ANSYS Workbench was used to establish a two-dimensional fluid-solid coupling model of different relative positions of the wire section.The temperature distribution during the air cooling process of the wire section was simulated and the temperature distribution was consistent with the wire cooling rule.The cooling conditions of the wires at lap points and non-lap points,the temperature drop data corresponding to different wind speeds were obtained,and combined with the finite difference temperature field model,the heat transfer coefficient was modified to realize the accurate prediction of temperature by the finite difference model.The use of existing finite element software for simulation calculation can greatly simplify the problem,combined with the mathematical model of temperature calculation,to provide guidance to the production site.(3)Through the coupling calculation of the temperature field model and the microstructure evolution model,the final structure composition and percentage of each structure,ferrite size,pearlite sheet spacing,cementite sheet of hard-wired steel with different chemical compositions and different process parameters were obtained.Layer thickness and other parameters.The influence of the fan and heat insulation cover on the microstructure evolution of the wire in the Stelmor air cooling line is analyzed,and the calculated results are prepared for the subsequent BP neural network performance prediction model and have a certain guiding role in optimizing the cooling control process.(4)A microstructure prediction model was developed to map the relationship between microstructure composition and properties of hard-wire steel.Based on the BP neural network model,the learning algorithm,the number of hidden layers,and the input and output layer parameters are determined.The main chemical composition and tissue composition are used as inputs,and the production site performance test data is used as output to train the neural network to predict the final mechanical properties of the product.To provide a basis for online quality monitoring of wires.