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智能动态建模方法(人工神经网络),建立了切屑形态预测动态模型;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,并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 was established. 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.
出处
《机床与液压》
北大核心
2006年第6期207-210,共4页
Machine Tool & Hydraulics
基金
国家自然科学基金资助(50475117
50175081)
天津市科技攻关重点项目资助(033181611)
关键词
切屑形态
预测
人工神经网络
切屑仿真
Chip formation
Predicting
Artificial neural network
Chip simulation
