摘要

To improve the radial forging quality of hollow shaft, the entrance surface is constructed using a radial forging die with a cycloid as the generatrix, and the effects of structural parameters of the die forging surface, such as the radius of the cycloid base circle (R), the length of the sizing zone (L), and the radius of the sizing zone (r), are investigated. The orthogonal experimental design L25 results were numerically simulated, and an artificial neural network approach (ANN) was utilized to construct a mathematical prediction model and used to the genetic algorithm (GA) optimization process. The results show that the compromise solution's optimal structural parameters are R=68.27 mm, L=49.36 mm, r=11.01 mm, epsilon sigma andC sigma are 0.2113 and 0.02562, respectively. When compared to the original structural scheme, epsilon sigma is lowered by 21.83% and C sigma is reduced by 31.58%, indicating that plastic deformation is more uniform and material damage is reduced during the hollow shaft forging process.

  • 单位
    武汉理工大学