Three-dimensional cellular automaton based lightweight model and optimizing method

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: 2016-04-27
SHANGHAI UNIV
View PDF5 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But it is not clear about the genera

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Three-dimensional cellular automaton based lightweight model and optimizing method
  • Three-dimensional cellular automaton based lightweight model and optimizing method
  • Three-dimensional cellular automaton based lightweight model and optimizing method

Examples

Experimental program
Comparison scheme
Effect test

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 realized by using C++ language in the VisualStudio2013 development environment. 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: ex...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

PropertyMeasurementUnit
Stressaaaaaaaaaa
Stressaaaaaaaaaa
Yield strengthaaaaaaaaaa
Login to view more

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap