| 1. | Seamless aluminium cylinder produced by power spinning
旋压无缝铝筒 |
| 2. | Analysis of power spinning process parameters selection mode for cylinders
筒形件强力旋压工艺参数选取方式分析 |
| 3. | Power spinning deformation of thin - walled cylinders with longitudinal inner ribs
带纵向内筋薄壁筒形件强旋成形 |
| 4. | The process of power spinning for taper has been simulated and an estimation model of finite element post - process has been established according to predicting process parameters
根据预测的工艺参数对锥形件强力旋压过程进行模拟，建立有限元模拟后处理评价模型。 |
| 5. | It is proved that combing the integration of neutral networks and finite - element in design process of power spinning can realize the intelligence of planning process and fasten the process
实验证明将人工神经网络和有限元结合，用于旋压工艺的制定过程，实现旋压工艺制定的智能化，可加快旋压工艺的制定过程。 |
| 6. | Trough choosing different professing parameters including the ratio of thinning and the ratio of feeding and using two rollers power spinning machine experiment research on cylinders with inner ribs has been started
摘要通过选取不同的壁厚减薄率和旋轮进给比作为工艺参数，利用双旋轮强力旋压机对带内筋筒形件作旋压加工实验。 |
| 7. | 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
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。 |
