The characteristic of this model is only to know basic and natural boundary condition, then the stream function and flow velocity required on the boundary are obtained.
The BP neural network used in the temperature characteristic of the boundary film on the screw-nut pairs surface in the wear-self-compensation system was established.
本文用双隐层BP人工神经网络建立了丝杆螺母副表面边界膜温度特性的磨损自补偿数学模型。
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The Characteristic inflow boundary Conditions are used at the inflow boundary. We also set the pressure correction term at the outflow boundary.