BP neural network-based roller alloy contact fatigue performance prediction method

Abstract

The invention discloses a BP neural network-based roller alloy contact fatigue performance prediction method and belongs to the alloy cast steel roller technical field. The method includes the following steps that: training sample data needed by an artificial neural network model are collected, wherein the data mainly come from contact fatigue property experimental results of alloy cast steel rollers of different alloy compositions under different heat treatment processes and loads; the input and output parameters of the neural network are determined, and the neural network structure is constructed; an improved BP algorithm is used to learn and train the neural network; and sample data other than the training samples are selected to test the trained neural network, and then, the contact fatigue performance of the alloy cast steel rollers is predicted. The BP neural network model established in the invention has higher prediction ability, provides a new way for researching and developing alloy cast steel roller materials with high contact fatigue performance and has an obvious practical value.

Description

technical field [0001] The invention relates to the technical field of alloy cast steel rolls, in particular to a method for predicting the contact fatigue performance of roll alloys based on BP neural network. Background technique [0002] Alloy cast steel rolls are widely used in the steel rolling industry due to their simple manufacturing process, low production cost and excellent performance. The contact fatigue performance of alloy cast steel roll is an important performance index that affects the service life of the roll. Higher fatigue strength is of great significance to improve the service life of the roll. However, the preparation of fatigue samples and the testing process of performance are complicated, and higher cost. There are many factors that affect fatigue, such as organizational structure, alloy elements, and working conditions, and these factors are difficult to quantify, so it is difficult to predict the fatigue strength of the roll. [0003] Currently,...

AI Technical Summary

Problems solved by technology

The contact fatigue performance of alloy cast steel roll is an important performance index that affects the service life of the roll. Higher fatigue strength is of great significance to improve the service life of the roll. However, the preparation of fatigue samples and the testing process of performance are complicated, and higher cost

There are many factors affecting fatigue, such as structure, alloy elements and working conditions, and these factors are difficult to quantify, so it is difficult to predict the fatigue strength of the roll

[0003] At present, despite a large amount of research on the fatigue phenomenon, there are still many fatigue problems that cannot be fully explained, and fatigue life cannot be reliably predicted

In the past, researchers used experiments and established equations to predict contact fatigue life. However, these methods are time-consuming and costly, and the results are often unsatisfactory.

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