کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
442877 692416 2014 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Quadrilateral mesh fitting that preserves sharp features based on multi-normals for Laplacian energy
ترجمه فارسی عنوان
اتصالات مشبک چهار ضلعی که ویژگی های تیز را بر اساس چند پارامتر برای انرژی لاپلاسایی حفظ می کند
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر گرافیک کامپیوتری و طراحی به کمک کامپیوتر
چکیده انگلیسی

Because the cost of performance testing using actual products is expensive, manufacturers use lower-cost computer-aided design simulations for this function. In this paper, we propose using hexahedral meshes, which are more accurate than tetrahedral meshes, for finite element analysis. We propose automatic hexahedral mesh generation with sharp features to precisely represent the corresponding features of a target shape. Our hexahedral mesh is generated using a voxel-based algorithm. In our previous works, we fit the surface of the voxels to the target surface using Laplacian energy minimization. We used normal vectors in the fitting to preserve sharp features. However, this method could not represent concave sharp features precisely. In this proposal, we improve our previous Laplacian energy minimization by adding a term that depends on multi-normal vectors instead of using normal vectors. Furthermore, we accentuate a convex/concave surface subset to represent concave sharp features.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Computational Design and Engineering - Volume 1, Issue 2, April 2014, Pages 88–95
نویسندگان
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