The Multi-Objective Optimal Pass Design Based On GA

Genetic Algorithm (GA), which simulates natural evolution procedure and mechanism developed in recent years, is self-organizing and self-adapting artificial intelligence technology. The technology bases on Darwinian natural selection and Mendelian genetics. The basic thought of solving optimization problem with GA is as follows. Firstly, the objective function of optimization is interpreted as the capability to environment for biotic-population, and the optimizing variable is corresponded with the individuals of biotic-population. Secondly, the current population is changed to a new one by suitable operation of duplication, hybridization, dissociation and selection. Thirdly, the procedure is duplicated until the fitting population is obtained.The dissertation has been designed using round steel rolling as entity model. Based on the research production of predecessor and investigation of the author, corresponding experience formulas such as roll temperature, spread, roll force, roll moment and roll consume are selected. The pass system is optimized through multi-objective optimization method with MATLAB GA toolbox. Kinds of curves are drawn by MATLAB. The drawings of passes are developed by Visual LISP integrated development environment (IDE) of AutoCAD2006.The three-dimensional models of rolling are established with Pro/E. Based on the finite element analysis software ANSYS/LS-DYNA, the procedure of bar tandem rolling is simulated. The nephograms of stress and strain of bar deformed area and the curve of roll force during rolling are obtained. Compared the result with the other result which comes from optimization, the precision of calculation will be verified.