BP neutral networks model has been established in order to predict process parameter of shear spinning based on many data accumulated during manufacturing.
以生产数据为学习样本，建立BP神经网络模型，实现对剪切旋压工艺参数的预测。
Changing of temperature distribution during warm shear spinning of cone workpiece of titanium alloy greatly affects the process and the product's precision.
成形过程中的温度场变化对钛合金锥形件温热剪旋成功与否，以及产品的精度影响很大。
A 3d rigid-plastic FEM simulation coupled thermal model for TC4 titanium alloy by warm shear spinning is founded and the temperature boundary condition of heating by flame is applied.
针对TC 4钛合金锥形件建立了三维热力耦合有限元模型，在有限元模拟过程中叠加了火焰加热边界条件。
The method for calculating the hole size cf high speed spinning spinneret on the basis of shear rate is presented which has been examined in 15 factories.
文中提出了根据剪切速率计算高速纺喷丝板孔径的方法，并以十五家工厂的资料进行验证。
The method for calculating the hole size cf high speed spinning spinneret on the basis of shear rate is presented which has been examined in 15 factories.
文中提出了根据剪切速率计算高速纺喷丝板孔径的方法，并以十五家工厂的资料进行验证。
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