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Lightweight Model Generation and Optimization Method Based on 3D Cellular Automata

A lightweight model and three-dimensional cell technology, which is applied in the field of lightweight model generation and optimization based on three-dimensional cellular automata, and can solve the problem of unclear target structure generation.

Inactive Publication Date: 2019-02-22
SHANGHAI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

But it is not clear about the generation of the specific target structure

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  • Lightweight Model Generation and Optimization Method Based on 3D Cellular Automata
  • Lightweight Model Generation and Optimization Method Based on 3D Cellular Automata
  • Lightweight Model Generation and Optimization Method Based on 3D Cellular Automata

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Embodiment 1

[0056] see figure 1 , a method for generating and optimizing a lightweight model based on a three-dimensional cellular automata, characterized in that the operation steps are as follows: 1) space division. Input the grid model, and perform spatial division on the input grid model. 2) Cellular evolution based on neighborhood information. 3) Feedback evolution based on FEA analysis. 4) Surface reconstruction. Surface reconstruction of internal structures is performed on the resulting lightweight voxel model. 5) Parameter verification. Verify the parameters of the lightweight model generated by evolution.

Embodiment 2

[0058] This embodiment is basically the same as Embodiment 1, and the special features are as follows:

[0059] Step 1) Space division: In order to generate a lightweight structural model driven by a cellular automata, the present invention proposes a method for generating and optimizing a lightweight model based on a three-dimensional cellular automata. The lightweight implementation of the model is implemented in the Visual Studio 2013 development environment using C++ language. The preferred instance of the input stl triangular mesh model cat (see figure 2 ), use the octree method to space-divide the input grid model, construct the bounding box of the triangular mesh model, use the octree to subdivide the mesh model adaptively, and after the triangular mesh is voxelized, based on the projection vector method Determine the internal / external nodes of the voxel, traverse the position value of the hexahedral voxel generated by the mark, and divide the model into three cases: ...

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Abstract

The invention relates to a three-dimensional cellular automaton based lightweight model and optimizing method, comprising operation steps: firstly, performing space dividing on an input network model with an octree, then according to design demands, establishing neighborhood information based cellular evolution, then, defining the relation that a neighborhood information based cellular automaton combines with FEA feedback information based finite element analysis, establishing FEA analysis feedback evolution, and generating a lightweight structure based on two evolution rules. A feedback based optimizing strategy is established, simulated information can be fed back to a design flow, and a drive structure is optimized to change macro attributes of a design target. Finally, the generated lightweight model is subjected to surface recreating and related parameters verifying, and an experiment proves that the invention is very suitable for establishing a 3D (three-dimensional) printing lightweight model.

Description

technical field [0001] The present invention relates to a lightweight model generation and optimization method based on a three-dimensional cellular automata, and specifically designs a lightweight model generation based on a three-dimensional cellular automaton to change the microscopic voxel structure and then control the macroscopic structure. The system integrates finite elements Analyze the optimization process acting on the model body, realize the integration of design and optimization, and establish a lightweight structure design based on optimization, which belongs to the research field of volume optimization. Background technique [0002] In recent years, 3D printing technology has shown a rapid development stage. It can transform its digital expression into a real personalized design object. The generation of lightweight structures has also become a research hotspot. Under the premise of reducing the structural performance, through the optimization of the structure...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/50
CPCG06F30/23G06F2111/06G06T17/30G06T19/00
Inventor 李婉婉邵军强沈隽晟姚远
Owner SHANGHAI UNIV
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