Abstract
In view of the technological requirements of the development of green shipbuilding technology on the effect of ship surface rust removal, the premixed abrasive jet technology is used to remove rust. Because the rust removal of ships with premixed abrasive jet is influenced by multiple parameters and has a high nonlinear relationship between various parameters, the accurate process model of it is difficult to establish. On the basis of artificial neural network modelling technology, the model of ship rust removal with premixed abrasive jet is built. The model takes the system pressure, the target distance, the moving speed of the spray gun and the particle size of the abrasive as input parameters, and the score which can most reflect the effect of the rust removal as output parameter. The test results show that the prediction error of the model is small, and it can better reflect the process rule between the effect of the premixed abrasive jet and the process parameters. We can guide the selection of process parameters according to the model.
Highlights
Due to the special working conditions of high salinity and high humidity, the corrosion degree of the surface of the ship is generally serious and the corrosion area is large
The setting of the parameters before processing depends on the experience of the rust removal workers and the best parameters obtained by the single factor experiment [4,5], which ignores the coupling effect between the various process parameters and is not universal
Artificial neural network modelling technology is used to build the model of ship rust removal with premixed abrasive jet
Summary
Due to the special working conditions of high salinity and high humidity, the corrosion degree of the surface of the ship is generally serious and the corrosion area is large. It is very difficult to effectively remove rust on its surface, and not pollute the river where the ship is located at the same time [1]. The premixed abrasive jet technology is widely concerned because of its high rust removal efficiency, no pollution and low equipment requirements [2]. Artificial neural network is a complex network system which has the characteristics of flexible self-learning, self-organization and self-adapting. Through network learning, it can approximate any linear or nonlinear functions [6]. Artificial neural network modelling technology is used to build the model of ship rust removal with premixed abrasive jet. The effect of the ship rust removal is predicted based on the established processing parameters, and the model is used to guide the selection of the processing parameters
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