Establishment of performance prediction model of high-alumina bronze coating and optimization method of single performance index

Abstract

The present invention discloses an establishment method for a high aluminum bronze coating property forecasting model and an optimization method for a single property indicator of a high aluminum bronze coating. The establishment method for the forecasting model comprises: establishing a training sample and a testing sample; constructing a BP neural network model; optimizing a weight and a threshold of the BP neural network by using the training sample and by using a genetic algorithm; and testing, by using the testing sample, the BP neural network model optimized by using the genetic algorithm, to obtain the high aluminum bronze coating property forecasting model. The optimization method is to perform extremum optimization on a single property indicator of a high aluminum bronze coating by using the forecasting model and the genetic algorithm. The high aluminum bronze coating property forecasting model established by the method provided by the present invention is high in forecasting accuracy, and implementing the high aluminum bronze coating property forecasting model greatly improves efficiency in researching a high aluminum bronze coating and making research and development of the high aluminum bronze coating become more directional and forward.

Description

technical field [0001] The invention belongs to the technical field of spraying, and in particular relates to a method for establishing a performance prediction model of a high-aluminum bronze coating and a method for optimizing a single performance index of a high-alumina bronze coating. Background technique [0002] As a new technology for material surface strengthening, protection and dimensional restoration, spraying technology is widely used in equipment maintenance and machinery manufacturing. High-aluminum bronze coating has attracted much attention in engine maintenance and shipbuilding due to its good wear and corrosion resistance. The high-aluminum bronze coating is prepared on the surface of parts by spraying technology, and its quality is one of the key factors restricting the wide application of high-alumina bronze coating. [0003] At present, the preparation methods of high-alumina bronze coatings mainly include high-temperature spraying technologies such as ...

AI Technical Summary

Problems solved by technology

However, for a long time, most of the research and development of high-alumina bronze coatings has been based on experience, experiments and approximations, and the research has been limited to the testing of the surface properties of the coating and the exploration of general theories after the test is completed, especially When it comes to spraying process design and process optimization, quantitative process parameters and performance index prediction results are rarely given, let alone the optimal value of the property index and its corresponding process parameters, which greatly increases the cost of high-alumina bronze. Coating research and development costs and cycle

[0006] In order to solve this problem, people use multiple regression, fuzzy mathematics and other technologies to model the spraying process under certain assumptions, and try to design the spraying process and predict its performance. Due to the highly nonlinear and complex interactions between them, it is difficult for the established model to accurately predict the behavior of the coating.

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