语义特征模型网格重划的研究

Research on remeshing for semantic feature model

提出一种新的方法,基于原模型的网格来有效构造一个新网格。该技术利用语义特征模型具有操作局部化的特点,通过细胞元变化模型得出(修改前/后)两个特征模型的相关部分,将原模型的复制网格节点直接关联到修正模型中,并结合对自由节点扩大自由集来进行优化过程。利用这种方法,可以在语义特征模型的几何属性中找到其固有的一致性,并与修改前模型的网格相关联,最终在保持现有有限元的质量条件下快速产生完整质量网格。

This paper presented a new method that efficiently constructs a new mesh based on a mesh of a earlier model.This was done by using the relevant portion of two featrue models deduce from changed celluar model,which generates by manipulation localizing of the semantic feature model,to directly copy the fixed nodes of the previous mesh,and combining expand set of the free nodes set to optimization.By this means could find a natural correspondence between the geometries of the semantic feature models,and relate this to the mesh of the earlier model.Finally,could delivering a complete qulity mesh quicky under the condition of maintaining the quality of the existing elements.