【摘要】 本文利用Matlab建立了磁流体边界润滑时 ,摩擦系数与外加载荷、磁场、纳米粒子浓度以及摩擦副材料硬度之间关系的BP神经网络模型。并利用L—M算法对网络进行了优化训练 ,所得到的网络收敛速度快 ,误差小。网络输出结果与实验结果相比较 ,具有较好的吻合性。更多还原

【Abstract】 This paper establishes BP neural network model between load, intensity of magnetic field ,density of nano-particles, hardness of friction pairs and friction coefficient in boundary lubrication of magnetic fluids with Matlab. The network has quicker convergence and less error with the L-M rule. The comparison of the network output with the test result shows the results are satisfactory.更多还原