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Finite element mesh automatic division method, equipment and storage medium

An automatic division, finite element technology, applied in neural learning methods, design optimization/simulation, biological neural network models, etc., can solve the problems of high labor, time-consuming and high cost, and achieve the effect of improving the efficiency of grid division

Active Publication Date: 2022-06-17
CATARC TIANJIN AUTOMOTIVE ENG RES INST CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This process is very time-consuming, requiring more manpower and higher cost

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  • Finite element mesh automatic division method, equipment and storage medium
  • Finite element mesh automatic division method, equipment and storage medium
  • Finite element mesh automatic division method, equipment and storage medium

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Embodiment Construction

[0044] In order to make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be described clearly and completely below. Obviously, the described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.

[0045] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. The indicated orientation or positional relationship is based on the orientation or positional relationship shown in the accompanying drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the indicate...

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Abstract

The embodiment of the invention discloses a finite element grid automatic division method, equipment and storage medium. Wherein, the method includes: obtaining the three-dimensional geometric features of the target parts from CAE software; according to the characteristics of the three-dimensional geometric features, determining the features that need to be cleaned and cleaning; using the CAE software to perform grid generation on the cleaned three-dimensional geometric features, The three-dimensional grid features are obtained; according to the classification of the three-dimensional geometric features, the three-dimensional grid features corresponding to each category are adjusted; and the adjusted three-dimensional grid features are corrected according to the grid quality requirements. This embodiment realizes the automatic finite element grid division process and improves the grid division efficiency.

Description

technical field [0001] Embodiments of the present invention relate to finite element mesh processing technologies, and in particular, to an automatic finite element mesh division method, device, and storage medium. Background technique [0002] In the development process of automobile body structure, CAE performance simulation is an indispensable link, and finite element meshing is a key factor affecting the simulation results. At present, there are professional pre-processing tools for meshing, such as Hypermesh from Altair and ANSA from BETA, both of which include one-dimensional, two-dimensional, and three-dimensional meshing algorithms. [0003] However, in the existing automobile development process, it is still necessary to manually operate software tools, and manually identify or adjust each link of mesh division, so that the final finite element mesh can be more in line with the requirements of CAE performance simulation. This process is very time-consuming, require...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/15G06F30/23G06F30/27G06N3/04G06N3/08
CPCG06F30/15G06F30/23G06F30/27G06N3/04G06N3/08
Inventor 武振江聂彦鑫王巧凤闫晓晓杨建森刘忠海王鹏曹展王梦丹张登权夏海鹏
Owner CATARC TIANJIN AUTOMOTIVE ENG RES INST CO LTD
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