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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
引用本文:王太勇,汪文津,范胜波,汪文颖,董艇舰. 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[J]. 制造技术与机床, 2005, 0(10): 48-51
作者姓名:王太勇  汪文津  范胜波  汪文颖  董艇舰
作者单位:1. 天津大学,天津300072
2. 天津科技大学,天津,300222
基金项目:中国博士后科学基金,天津市科技攻关项目
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.

关 键 词:切屑形态  预测  人工神经网络  切屑仿真
文章编号:51014
收稿时间:2005-05-20
修稿时间:2005-05-20

Dynamic Modeling of Predicting Chip Formation Based on Artificial Neural Networks and Real- time Simulation of Chip
WANG Taiyong,WANG Wenjin,FAN Shengbo,WANG Wenying,DONG Tingjian. Dynamic Modeling of Predicting Chip Formation Based on Artificial Neural Networks and Real- time Simulation of Chip[J]. Manufacturing Technology & Machine Tool, 2005, 0(10): 48-51
Authors:WANG Taiyong  WANG Wenjin  FAN Shengbo  WANG Wenying  DONG Tingjian
Abstract: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.
Keywords:Chip Formation   Predicting   Artificial Neural Network   Chip Simulation
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