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Self-adaptive grid division method and system based on octree

An adaptive grid and fork tree technology, which is applied in special data processing applications, image data processing, instruments, etc., can solve problems such as many function calls, difficulty in understanding, and complex grid division algorithms, so as to achieve a clear and clear calculation process. High precision, calculation results get direct results

Active Publication Date: 2019-09-10
GUANGDONG HUST IND TECH RES INST
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Problems solved by technology

However, the existing meshing algorithm based on the octree model mainly has the following major problems: (1) The meshing algorithm is too complicated, not only difficult to understand, but also there are many function calls in the algorithm implementation, and nested calls between functions Very complicated; (2) The boundary conditions for the octree model nodes to stop growing are not accurate and practical; (3) The overall applicability of the algorithm is not good enough

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  • Self-adaptive grid division method and system based on octree
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  • Self-adaptive grid division method and system based on octree

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Embodiment Construction

[0064] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0065] The purpose of the present invention is to provide an octree-based adaptive grid division method and system, which reduces the complexity of the grid division method and improves the division accuracy.

[0066] In order to make the above objectives, features and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the accompanying drawin...

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Abstract

The invention discloses a self-adaptive grid division method and system based on an octree. The division method comprises: acquiring a file model to be calculated; eliminating file defects of the to-be-calculated file model by adopting a polygonal robust repair method to obtain a totally-enclosed file model; performing octree modeling on the totally-enclosed file model to obtain an original octreenetwork model; carrying out smoothing processing on the original octree network model to obtain a uniform octree grid model; and traversing leaf nodes in the uniform octree network model to obtain afinal non-uniform grid model. According to the method and the system, the complexity of a grid division method is reduced, and the division precision is improved.

Description

Technical field [0001] The present invention relates to the field of grid division, in particular to an octree-based adaptive grid division method and system. Background technique [0002] Since the last century, casting numerical simulation technology has made great progress in theory and practical application. Now it has developed into a set of theories with certain specifications. Meshing is the most important part of the pre-processing module of casting numerical simulation. The generation of uniform grids has become an important research direction in the field of grid division because of its ability to reduce the number of grids. The traditional finite-difference non-uniform grid generation idea is mainly to set different grid step lengths in different regions, and geometric analysis of each casting is required. In the actual casting simulation, it will not only make the entire numerical calculation and analysis process cumbersome, but also The process is long, and because ...

Claims

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Application Information

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IPC IPC(8): G06F17/50G06T19/20
CPCG06T19/20G06F30/20
Inventor 张国军廖敦明戴愿桥张红梅张臻明五一尹玲卢亚耿涛
Owner GUANGDONG HUST IND TECH RES INST
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