基于BP神经网络的立铣加工振动快速预估  

Rapid Estimation of Vibration on End Milling Process Based BP Neural Network

作　　者：陈勇[1] 刘雄伟[1] 俞铁岳[1] 

机构地区：[1]华侨大学机电及自动化学院,福建泉州362021

出　　处：《制造技术与机床》2005年第10期21-24,共4页Manufacturing Technology & Machine Tool

基　　金：国务院侨办科研基金资助项目(编号:04QZR05)

摘　　要：结合研制的立铣加工过程虚拟仿真系统和实验测量铣削力信号,训练并建立BP神经网络模型,快速实现铣削过程刀具-工件系统振动状态的预估。预估的振动结果与实验测量数据较为吻合,表明铣削虚拟仿真系统与神经网络技术的结合能够高效低耗地用于不同铣削加工条件下铣削振动状态的快速预估和加工过程监测。Combined with a virtual simulation system on end milling process and cutting force signal obtained in cutting trials, an optimal BP neural network model that can be used rapidly to predict vibration in end milling process is trained and established. The estimation results of vibration displacement obtained from the BP neural network model have a good agreement with the experimental results, which reveals that neural network technique combined with the virtual simulation system can be used effectively to predict and monitor the vibration in end milling process under different cutting parameters.

关 键 词：BP神经网络 立铣加工 虚拟仿真 振动预估 BP神经网络模型 快速预估 振动状态 虚拟仿真系统 实验测量数据 神经网络技术 

分 类 号：TG334.9[金属学及工艺—金属压力加工] TV698.1[水利工程—水利水电工程]