Method for establishing alloy cast steel roll material designing expert system on basis of neural network

Abstract

The invention belongs to the technical field of alloy cast steel rolls, and relates to a method for establishing an alloy cast steel roll material designing expert system on the basis of a neural network. The expert system comprises an integrated database, an inference machine, a knowledge base, a performance optimization module, a man-machine interface and other modules; sample sets for training and testing the neural network are stored in a database of the expert system; knowledge rules of components, processes and properties obtained in a process of training the neural network are stored in the knowledge base in a form of matrix to provide knowledge reserve for inference of the system; the performance optimization module automatically judges performance prediction results and returns to the integrated database of the system; each module of the expert system has a friendly man-machine interface. The expert system constructed by the artificial neural network in the invention has advantages of convenient knowledge maintenance, fast inference and the like, also reduces blindness in an alloy cast steel roll material designing process, and saves time and costs.

Description

technical field [0001] The invention specifically relates to the technical field of alloy cast steel rolls, in particular to a method for establishing an expert system for alloy cast steel roll material design based on a neural network. Background technique [0002] Alloy cast steel occupies a very important position in the development of roll materials. With the development of modern rolling mills towards high-pressure and high-speed rolling, the requirements for rolls are becoming more and more stringent, which further requires to increase the quality and comprehensive performance of rolls. Therefore, it is necessary to develop high-performance high-alloy steel rolls. In order to achieve the goal of reducing development costs and improving roll performance, it is necessary to predict the performance of the material of the roll, and then design its composition and heat treatment process according to the predicted results, which can reduce production costs and shorten devel...

AI Technical Summary

Problems solved by technology

Using mathematical statistics methods such as regression analysis to predict material properties is a relatively common method, but due to the uncertainty and nonlinearity of many problems, it is difficult to describe mathematically and establish an accurate mathematical model before regression

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