Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Biological particle cluster construction method based on BCCA optimization model

A technology for optimizing models and biological particles, which is applied in the field of computer simulation, can solve problems such as limitations, obstacles in selecting materials with strong extinction performance, and inaccurate simulation of extinction performance, so as to achieve good extinction characteristics

Active Publication Date: 2021-09-28
NAT UNIV OF DEFENSE TECH
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

b class="d_n">[0006] In order to solve the above-mentioned technical problems, the present invention proposes a method for constructing biological particle clusters based on the BCCA optimization model, in order to solve the inaccurate simulation of the matting performance of matting materials in the prior art, Problems that lead to certain obstacles and restrictions in the selection of materials with strong extinction performance

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
  • Biological particle cluster construction method based on BCCA optimization model
  • Biological particle cluster construction method based on BCCA optimization model
  • Biological particle cluster construction method based on BCCA optimization model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present invention and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0032] combine first figure 1 A method for constructing bioparticle clusters based on the BCCA optimization model as one embodiment of the present invention will be described. like figure 1 , 3 As shown, the method includes the following steps:

[0033] Step S101: Obtain the number of particles existing in the three-dimensional space and the particle size of e...

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

No PUM Login to View More

Abstract

The invention provides a biological particle cluster construction method based on a BCCA optimization model. The method comprises the steps: acquiring the number of particles existing in a three-dimensional space and the particle size of each particle; constructing a three-dimensional model; setting and calling a lowbit function, and calculating an expected cluster body number N; judging whether the number Nc of current cluster bodies in the three-dimensional model is equal to 1 or not; determining currently existing cluster bodies in the three-dimensional model, and performing collision processing when the cluster bodies meet corresponding collision conditions and collide with one another; determining a current cluster body number Nc; and outputting a three-dimensional distribution diagram of the particles in the current cluster body, and outputting the three-dimensional distribution mode of the particles in the current cluster body as a result. According to the method provided by the invention, a better extinction material structure can be formed, and the preparation of the extinction material with stronger extinction characteristic is facilitated.

Description

technical field [0001] The invention relates to the field of computer simulation, in particular to a method for constructing biological particle clusters based on a BCCA optimization model realized by computer simulation. Background technique [0002] As an important means to weaken the performance of visible light or infrared imaging devices or systems, the development of matting materials has become the object of competing research. Matting materials include metal materials, expanded graphite, nanomaterials, water-based foams, biomaterials, and composite materials. [0003] Biological material is a random orientation condensed particle system with fractal characteristics and complex spatial structure formed by some small biological particles under the action of static electricity, collision and adhesion. , to achieve the effect of extinction. [0004] Depending on the properties of the particles, the spatial structure of the matting material may be a single particle or ag...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/00G06T17/00
CPCG06N3/002G06T17/00
Inventor 顾有林胡以华丁婉莹陆卫李维陈曦王新宇曹浩
Owner NAT UNIV OF DEFENSE TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products