Cost-Minimizing Hexahedral Mesh Refinement by Sheet Inflation

Autor:	Chun Shen, Rui Wang, Shuming Gao, Haiyan Wu
Rok vydání:	2022
Předmět:	Computer Graphics and Computer-Aided Design Industrial and Manufacturing Engineering Software Computer Science Applications
Zdroj:	Journal of Computing and Information Science in Engineering. 23
ISSN:	1944-7078 1530-9827
Popis:	In this paper, a novel hexahedral refinement method is introduced which finds the optimal tradeoff between the number of inserted elements and inserted singularities according to user-prescribed weighting. The input of our algorithm is the hexahedral mesh with quads tagged for refinement. The quad sets to be inserted by sheet inflation are determined by solving a integer optimization problem to minimize the number of inserted elements and inserted singularities while maintaining mesh consistency. Finally, we design the optimized sheet structures by selecting the optimal local shrink set at the cross section of intersecting quad sets to ensure the quality of mesh refinement. The refinement scheme can be applied iteratively until the mesh density meets the requirements. Experimental results for some mechanical parts verified the effectiveness of the proposed method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a47034090896c229eba0cf6559a3ac95 https://doi.org/10.1115/1.4055732 Zobrazit plný text záznamu