Application Of Artificial Neural Network And Genetic Algorithm In Process Optimization For Preparing Composite Coatings

The relationship of microstructure, performance and process has always been the focus of materials research. For a long time, experiments with a large number of trials or the empirical trial and error method has been the main way to mine the relationship between them. However, these traditional methods are usually not financial acceptable and time-saving. With the development of computer science, Artificial Intelligence Technology is employed to study materials so that people can obtain the ideal results with fewer experiments. Artificial Neural Network and Genetic Algorithm are technically mature and widely used in this area. The combination of Artificial Neural Network and Genetic Algorithm would make up for each other and retain their advantages respectively at the same time, so it will be more efficient to build a model for a process.This paper is focused on the analyzing and improving of Artificial Neural Network and Genetic Algorithm, and trying to incorporate the two algorithms. Then, apply them to optimize Induction Heating Deposition of monetite coating on C/C composites and Electroless Plating of nickel on aramid fibers. The main achievements are listed as follows:Firstly, the optimization of BP Neural Network using Genetic Algorithm is proposed as well as the technology of nonlinear extremum searching method based on Artificial Neural Network and Genetic Algorithm.Secondly, the technology of nonlinear extremum searching method based on Artificial Neural Network and Genetic Algorithm. is employed to optimize Induction Heating Deposition of monetite coating on C/C composites. The optimal technological condition is calculated and it will have certain guidance on the study of thermodynamics and dynamics of Induction Heating Deposition.Thirdly, the technology based on Artificial Neural Network and Genetic Algorithm is employed to optimize Electroless Plating of nickel on aramid fibers. The simulation result indicate that when sodium citrate is 12.00 g/L, ammonium chloride 24.00 g/L, sodium phosphate 28.00 g/L, p H 9.19, and the temperature 50 ℃ can obtain the optimal deposition rate 1.91 g/(g, min).