【摘要】 针对木门锁孔槽数控加工精度要求,从影响木门锁孔槽加工精度误差来源进行分析,热变形误差是影响机床加工精度的重要因素,利用热变形误差补偿来提高数控机床加工精度已成为现代高档数控机床必备的智能模块。采用BP神经网络算法对木门锁孔槽数控加工机床进行热误差建模的基本原理和方法研究,优化热误差补偿热关键点。研究表明BP神经网络算法建立的误差模型可获得热误差的最优解,能够满足木门锁孔槽加工机床的热误差补偿。更多还原

【Abstract】 According to special accuracy require of holes or slots of wooden door,heat error is an important factor of machining accuracy of machine tool. The way of improving machine tool accuracy by using thermal deformation compensation is a necessary intelligent module of high quality NC machine tool. The heat error modeling principle and methods based on BP neural network algorithms for machining holes or slots of wooden door on the NC machine tool were raised,which are the key for compensating heat error. The most optimized heat error can be obtained by error modeling based on BP neural network algorithms,which can compensating the heat error of machine tool for machining holes or slots of wooden door.更多还原