Method for predicting steel billet temperature distribution in heating furnace based on particle swarm optimization algorithm

Abstract

The invention provides a method for predicting billet temperature distribution in a heating furnace based on a particle swarm optimization algorithm, which comprises the following steps of: establishing a one-dimensional unsteady-state heat conduction differential equation for representing a billet temperature distribution model in the heating furnace, and determining initial conditions and boundary conditions of the one-dimensional unsteady-state heat conduction differential equation; replacing a particle value in the particle swarm optimization algorithm with a random initial value of a boundary condition, and solving the one-dimensional unsteady state heat conduction differential equation to obtain a solving temperature value; taking a mean square error between a solved temperature value and a temperature measurement value as an objective function of a heat conduction inverse problem, taking the mean square error as a fitness value, returning the fitness value to a particle swarm optimization algorithm, sequentially carrying out inversion on boundary conditions according to a time sequence, and updating the boundary conditions based on the inversion; and calculating a heat conduction positive problem by using the updated boundary conditions, and outputting temperature values at specified moments and specified positions. The method can better solve the damping and delay problems of the unsteady state heat conduction differential equation, and is more suitable for solving the unsteady state heat conduction problem.

Description

technical field [0001] The invention relates to the technical field of prediction of the temperature distribution of steel billets in a heating furnace, in particular to a method for predicting the temperature distribution of steel billets in a heating furnace based on a particle swarm optimization algorithm. Background technique [0002] The heating furnace is an important process equipment between continuous casting and hot rolling, which is used to heat the billet, thereby improving its plasticity. The temperature distribution of the billet in the heating furnace is one of the important basis for measuring the heating quality and realizing the automatic control of the heating furnace, and the quality of the billet directly restricts the quality of the finished steel. [0003] The heat transfer process of the billet in the heating furnace is very complicated, because the heating and heating process of the billet is a process in which multiple heat transfer methods coexist ...

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Problems solved by technology

[0008] At present, there is no patent on the temperature of the steel billet in the heating furnace by the time-sequential particle swarm optimization algorithm for unsteady heat conduction

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