Finite Element Analysis and Process Optimization System of the Tube Stagger Spinning

In order to collect an accurate and reliable knowledge for the optimization of process variables, combined with the artificial intelligence technology (neural networks and expert system), an FEM based intelligent process evaluation system was established to guide the optimization of the parameters of spinning process. A feasible scheme of stagger spinning parameter optimization was set. The technique of ANN and expert system were utilized. The whole system is well supported by experiments and the optimization results coincide well with the experiment.