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

Wang Taiyong
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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 moni- toring 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.
基于人工神经网络的芯片形成预测动态建模与芯片实时仿真
针对数控加工中切屑生成过程监控问题,研究了基于实时状态智能监控的人工神经网络切屑生成预测的动态建模方法。本文建立了预测切屑形成的动态模型。基于切屑空间运动轨迹的数学模型,建立了切屑形状的三维模型。在虚拟现实环境中实现了芯片生成过程的实时仿真。
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