基于BP神经网络算法的木门锁孔槽加工机床热误差建模方法  

Heat Error Modeling Methods of NC Machine Tool Machining Holes or Slots of Wooden Door Based on the BP Neural Network Algorithms

作　　者：马晓君[1,2] 齐英杰[1] 胡万明[1] 

机构地区：[1]东北林业大学,哈尔滨150040 [2]佳木斯大学,佳木斯154007

出　　处：《林业科学》2013年第12期121-125,共5页Scientia Silvae Sinicae

基　　金：林业公益性行业科研专项(201204703)

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。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.

关 键 词：锁孔槽 数控加工 热误差 BP神经网络算法 误差模型 

分 类 号：TS652[轻工技术与工程] S777[农业科学—森林工程]