Intelligent generation method for three-dimensional model of truss structure

A truss structure and three-dimensional model technology, applied in the field of three-dimensional modeling, can solve the problems of complex spatial structure, cumbersome three-dimensional model construction process, large number of profiles, etc., to achieve excellent performance, accurate and reliable modeling results, and low time complexity. Effect

Active Publication Date: 2018-08-31
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

In addition, the frame structure usually constitutes a large number of profiles and forms a complex spatial structure
This makes the construction process of its 3D model very cumbersome and becomes the

Method used

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  • Intelligent generation method for three-dimensional model of truss structure
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  • Intelligent generation method for three-dimensional model of truss structure

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Embodiment Construction

[0032] Embodiments of the present invention are described in detail below, and the embodiments are exemplary and intended to explain the present invention, but should not be construed as limiting the present invention.

[0033] In this embodiment, through the image 3 The identification of the overlapping relationship between the parts at the connection point indicated by the arrow a in the topological model shown in a shows the implementation process of the proposed method, and proves the feasibility and effectiveness of the method. Depend on image 3 a It can be seen that there are both orthogonal parts and oblique parts at this connection point, and there are 6 parts passing through this connection point, and the number is relatively large, so the judgment of the overlapping relationship between the parts at this connection point has a Must be representative.

[0034] The specific method includes the following steps:

[0035] Step 1: According to the historical sample data...

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Abstract

The invention provides an intelligent generation method for a three-dimensional model of a truss structure. By adopting staged intelligent aided design of a lapped frame structure, three-dimensional assembly modeling of the lapped frame structure is divided into two processes of qualitative lapping relationship judgment and quantitative geometric calculation, and by using a deep learning and Zhu-Liu algorithm combined method, the key first stage, namely, the qualitative lapping relationship judgment process is solved; then by using a geometric calculation method, the second stage is finished;and finally intelligent three-dimensional modeling of the truss structure is realized. According to the method, the three-dimensional assembly model of the truss structure can be effectively and intelligently built. The used method is relatively good in performance; the time complexity of an algorithm is relatively low; a modeling result is accurate and reliable; the built three-dimensional assembly model is better kept consistent with an existing design principle; and the generated frame structure model better conforms to current reality.

Description

technical field [0001] The invention relates to the field of three-dimensional modeling, in particular to a method for intelligently generating a three-dimensional model of a truss structure. Background technique [0002] Frame structure products are widely used in aerospace and mechanical products, but the expression forms are different in the conceptual design stage and the detailed design stage. The conceptual design stage is usually represented by a topology model, which is conducive to shortening the development cycle Design prototypes for finite element analysis, topology optimization, and size optimization. In the subsequent detailed design stage, the designer needs to generate the corresponding 3D model in CAD based on the topology model and profile specification table completed in the conceptual design stage for subsequent work. This process is as image 3 shown. However, by image 3 The topological model of (a) to image 3 (b) The conversion and construction of t...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/15G06F30/20
Inventor 莫蓉曹浩
Owner NORTHWESTERN POLYTECHNICAL UNIV
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