SMART-CNC超精密数控曲面磨床综合误差补偿技术

为了进一步提高数控磨床的磨削加工精度,运用多体系统运动学理论、神经网络方法和有限元分析方法,分别对SMART-CNC超精密曲面数控磨床的空间几何误差、热变形误差以及力变形误差进行了建模和计算．通过逆运动学迭代求解算法求解出可消除磨床几何误差和载荷误差的精密加工数控指令值,通过神经网络算法,控制微位移夹具机构,消除了磨床热变形误差的影响．实验结果表明,综合运用上述误差补偿方法,可以将该磨床的磨削误差由原来的0．225 μm减小到0．045μm．

Error Compensation Technology for SMART-CNC Super Precision Numerical Control Grinding Machine

In order to enhance the grinding accuracy of numerical control (NC) grinding machine, the kinematics of multi-body system, neural net and finite element method were used to make geometric error, thermo error and load error prediction models. Geometric error and loading error could be reduced by using precision NC instructions which were generated through an inverse kinematics solve method, and the thermo error could be reduced through an special mini displacement mechanism which was controlled by the thermo error prediction neural net. Experiment results show that the grinding shape error reduced from 0.225 μm to 0.045 μm after the application of the above sythetic error compensation method.