Vibration aging process parameter optimization method based on BP neural network

Abstract

The invention discloses a vibration aging process parameter optimization method based on a BP neural network. The method is characterized by comprising the following steps that an orthogonal experiment design method is adopted to formulate a vibration aging experiment scheme, a vibration aging experiment is carried out, and experiment data are obtained; dimension normalization processing is carried out on obtained data sample sets respectively according to different parameter categories, and the data sets are divided into two parts, namely a training sample and a test sample according to a certain proportion; the BP neural network is trained and tested by using the data subjecte to dimension normalization; and according to errors of residual stress values obtained through tests and experiments, weights and threshold values of all layers of the network are corrected till a relative error mean value of a predicted value and an actual value is smaller than a set value, an optimal technological parameter combination is obtained, and finally the vibration aging technological parameter optimization method based on the BP neural network is formed. The method has the advantages that a vibration aging process parameter adjusting process is simplified, and the optimal process parameters are obtained.

Description

technical field [0001] The invention relates to the technical field of vibration aging, in particular to a method for optimizing vibration aging process parameters based on BP neural network. Background technique [0002] Among the currently commonly used residual stress relieving methods, vibration aging technology is favored by many companies due to its advantages of good treatment effect, short treatment time, energy saving and environmental protection, and easy on-site operation. Using vibration aging technology to eliminate the residual stress generated in the process of component manufacturing, first of all, it is necessary to determine the process parameters of vibration aging. Only reasonable process parameters can achieve a relatively ideal vibration aging effect, and the optimization of vibration aging process parameters is also vibration aging. One of the key research contents in the technical field. At present, in the vibration aging process, the ideal aging eff...

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Problems solved by technology

[0005] In order to solve the problem that the adjustment process of vibration aging process parameters is complicated and the aging treatment efficiency is low, the present invention proposes a method for optimizing vibration aging process parameters based on BP neural network. The vibration aging process parameters are used as input, and the residual stress reduction rate is used as The output establishes a neural network model, and continuously adjusts the weight and threshold according to the error until the error is less than the set value, and finally obtains a relatively reasonable process parameter corresponding to an ideal vibration aging effect, thereby improving the effect and efficiency of vibration aging

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