摘要
以BP神经网络为基础构建响应曲面,建立材料参数、筒形件强力旋压工艺参数等和旋压力最大变化值之间的关系,并用粒子群优化算法求解,获得符合优化条件的最优解,从而实现筒形件强力旋压工艺参数的优化。经MARC模拟验证,取得了较好的效果。
Response Surface has been built based on BP neural network with relationship of maximum of spinning force variety, material parameters and power spinning process parameters established and optimum achieved by using Particle Swarm Optimization algorithm hence optimization of tube power spinning process parameters. Better result has been achieved by test of MARC simulation.
出处
《锻压装备与制造技术》
2007年第1期71-75,共5页
China Metalforming Equipment & Manufacturing Technology
