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Three-axis NC milling simulation based on adaptive triangular mesh

机译:基于自适应三角网格的三轴数控铣削仿真

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NC milling simulation has become an important step in computer aided manufacturing (CAM). To achieve real-time simulation, the total number of polygons has to be reduced, which results in poor image quality. This paper presents an adaptive triangular mesh algorithm to reduce the number of polygons while image quality remains high. Binary tree is used to represent the milling surface, and the optimization of the mesh is performed dynamically in the process of simulation. In this algorithm, the resolution of triangles is automatically updated according to local surface flatness, thus greatly reducing the number of triangles at planar regions. By doing this, real-time and high quality of visual presentation is insured and the translation, rotation and zooming operations are still applicable. When machining precision is evaluated, or overcut, undercut and interference are inspected, full resolution model stored in memory is automatically loaded to ensure the accuracy and correctness of these inspections. Finally, an example is presented to illustrate the validity of proposed algorithm.
机译:数控铣削仿真已成为计算机辅助制造(CAM)的重要一步。为了实现实时仿真,必须减少多边形的总数,这会导致图像质量较差。本文提出了一种自适应三角网格算法,可在保持高质量图像的同时减少多边形的数量。用二叉树表示铣削表面,并在仿真过程中动态地执行网格的优化。在该算法中,三角形的分辨率会根据局部表面的平面度自动更新,从而大大减少了平面区域中三角形的数量。这样,就可以确保实时且高质量的视觉呈现,并且平移,旋转和缩放操作仍然适用。在评估加工精度或检查过切,底切和干涉时,将自动加载存储在内存中的全分辨率模型,以确保这些检查的准确性和正确性。最后,给出一个例子来说明所提算法的有效性。

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