| Summary: | 碩士 === 國立中正大學 === 機械系 === 92 === This thesis describes the development of a new cutting path algorithm. It computers the cutting path based on the resampling theorem which resamples the input signals (random scanned data) to get more dense points on surfaces. In reverse engineering, it must reconstruct triangular facets or continues surfaces after using laser scanner to get random scanned data. If there are holes on surfaces, the filling holes step must be done. According to this thesis, it does not reconstruct the surfaces and directly computer the cutting path.
Two themes are introduced here. For the first one, resampling theorem is discussed. The main works is to prove the Elliptical Gaussian Resampling Filter, and it gets dense surface points by utilizing the filter to resample the surfaces. For the second, planning the cutting path is discussed. The works are to prove the 3-axis projecting cutting path formula and use data structure to search the dense surface points quickly. By the way, the step error and interval error of cutting path are calculated. For highly precise cutting path, it uses the method inserting the new CL points to decrease the two error values.
In practical applications, the surfaces can be sculpted after resampling step. The main theorems are resampling and computer graphics. It add the gray values of sculpted pictures to the depths of dense surface points after resampling step. By changing the depths there will the sculpted performance. Finally, the realization of 5-axis cutting path based on this resampling theorem is discussed.
|
|---|
