为了考察材料各向异性对钢制薄壁容器D/t=513.7(易拉罐)罐身的冲杯及复冲过程成形的影响,采用不同的各向异性材料,利用ANSYS/LS-DYNA模拟冲杯及复冲过程,得到具有不同材料属性的变形结果,将对DI(Drawn and Ironed)材的开发提供方向性的...为了考察材料各向异性对钢制薄壁容器D/t=513.7(易拉罐)罐身的冲杯及复冲过程成形的影响,采用不同的各向异性材料,利用ANSYS/LS-DYNA模拟冲杯及复冲过程,得到具有不同材料属性的变形结果,将对DI(Drawn and Ironed)材的开发提供方向性的指导。展开更多
A new method was worked out to improve the precision of springback prediction in sheet metal forming by combining the finite element method (FEM) with the data mining (DM) technique. First the genetic algorithm (GA) w...A new method was worked out to improve the precision of springback prediction in sheet metal forming by combining the finite element method (FEM) with the data mining (DM) technique. First the genetic algorithm (GA) was adopted for recognizing the material parameters. Then according to the even design idea, the suitable calculation scheme was confirmed, and FEM was used for calculating the springback. The computation results were compared with experiment data, the difference between them was taken as source data, and a new pattern recognition method of DM called hierarchical optimal map recognition method (HOMR) is applied for summarizing the calculation regulation in FEM. At the end, the mathematics model of the springback simulation was established. Based on the model, the calculation errors of springback can be controlled within 10% compared with the experimental results.展开更多
文摘A new method was worked out to improve the precision of springback prediction in sheet metal forming by combining the finite element method (FEM) with the data mining (DM) technique. First the genetic algorithm (GA) was adopted for recognizing the material parameters. Then according to the even design idea, the suitable calculation scheme was confirmed, and FEM was used for calculating the springback. The computation results were compared with experiment data, the difference between them was taken as source data, and a new pattern recognition method of DM called hierarchical optimal map recognition method (HOMR) is applied for summarizing the calculation regulation in FEM. At the end, the mathematics model of the springback simulation was established. Based on the model, the calculation errors of springback can be controlled within 10% compared with the experimental results.
