基于人工神经网络的车削切屑形态预测动态建模及实时仿真  

Dynamic Modeling of Predicting Chip Formation Based on Artificial Neural Networks and Real-time Simulation of Chip

作　　者：王太勇[1] 汪文津[1] 范胜波[1] 汪文颖[2] 董艇舰[1] 

机构地区：[1]天津大学,天津300072 [2]天津科技大学,天津300222

出　　处：《制造技术与机床》2005年第10期48-51,共4页Manufacturing Technology & Machine Tool

基　　金：国家自然科学基金项目(50475117;50175081);天津市科技攻关重点项目(033181611)

摘　　要：针对数控加工中切屑形成过程的监控问题,在基于实时工况智能监控平台上,通过研究切屑形态预测的神经网络动态建模方法,建立了切屑形态预测仿真动态模型。并根据切屑空间运动轨迹的数学模型,建立了切屑三维造型模型,在虚拟现实环境中实现车削过程的切屑实时动态仿真。For the problem of process monitoring of chip generation in CNC machining, the dynamic modeling of predicting chip formation using artificial neural networks based on real -time condition intelligent monitoring was studied. The dynamic model of predicting chip formation is established in the paper. Based on mathematical model of chip space motion path, the 3D model of chip shape was developed. The real - time simulation of chip generation was realized in the virtual reality environment.

关 键 词：切屑形态 预测 人工神经网络 切屑仿真 实时仿真 形态预测 动态建模 车削过程 切屑 空间运动轨迹 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] TP391.9[自动化与计算机技术—控制科学与工程]