Research On The Model Construction Of Composite Liquid-Solid Extrusion Based On The Fuzzy Neural Network And Optimization

Liquid-solid extrusion of composite material is a new kind of metal forming process, which has been developed in recent years with a promising practical application prospect for its simple working procedure, low cost and good workpiece performance. But it is difficult to set up an accurate mathematical model because the process is a multivariable nonlinear time varying system. So this process can't be put into practical uses for the difficulties in process parameters control.In this paper, some key factors in the process of composite liquid-solid extrusion had been researched through a large amount of experiments and the common rules of composite liquid-solid extrusion had been obtained. The sample data was built and the common fuzzy rule was set up through analyzing the experimental data collected during the experiments. The fuzzy neural network model of composite liquid-solid extrusion had been set up, the sample data had been fitted and the accurate fuzzy rule had been concluded through training the fuzzy neural model with the sample data. The process parameters had been predicted by use of the fuzzy neural network model constructed, and the predicted results coincide well with the experimental data.Optimization can be conducted by use of genetic algorithms. This optimization method needn't the differential coefficient and other assistant knowledge, but of the object function and the adaptive evaluation function. It's powerful to optimize the nonlinear system difficult to set up the mathematical model. In this paper, the composite liquid-solid extrusion optimization model is built by means of genetic algorithm. The process parameters had been optimized and the ideal optimization results are obtained.The physical meaning of the fuzzy neural network parameters and their influence on the model performance are discussed through the research of composite liquid-solid extrusion model, and the reasonable method of evaluating the network parameters is confirmed which can quicken the training speed. Some problems and the influence of the evolution operator on the optimization course are discussed, arid the reasonable range of the evolution parameter is concluded.In this paper, a set of composites liquid-solid extrusion application software is complied by using of the Visual C++, Matlab and Access software. The visualization and interaction are realized through this software, what's more, the functions of fuzzy neural model setting up, parameter prediction, parameter optimization, figureexporting and database accessing are included. The composite liquid-solid extrusion process parameters can be predicted and optimized by use of the software. The author's work lay a foundation for the reasonable choose of the process parameters and practical application of the composite liquid-solid extrusion.