一种压缩体素模型在加工仿真中的应用

Application of Compressed Voxel Model in Milling Simulation

针对五坐标数控加工仿真中刀具扫描体和零件毛坯之间布尔运算量大,传统的基于空间分解的体素建模方法需要计算机内存空间大,仿真时间长,仿真精度低等问题,结合Dexel模型提出了一种压缩体素模型,大大简化了仿真过程中的布尔运算,有效压缩了仿真模型的数据量,仿真的精度也有所提高。根据该压缩模型特点,设计了基于MachingCubes的优化表面三角网格提取算法,加快了仿真结果的图形显示。整个加工过程的仿真速度比传统体素模型提高了8～9倍,在实际应用中取得了良好的效果。

In five-axes NC milling simulation,the Boolean calculation between tools and rough part is very large. Traditional voxel model of space decomposing needs huge computer RAM.It has some shortcomings of long simulation time and low simulation quality.A new compressed voxel model is put forward using Dexel, which predigests the Boolean calculation largely and compresses the data effectively.In addition, the quality of simulation is better.According to the characteristic of the compressed voxel model, an optimized Marching Cubes algorithm is designed to construct the surface model which can display the result of the NC simulation quickly.The whole simulation process is quickened about 8～9 times. This compressed voxel model has produced a better effect in practical application.