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A Geometric Modeling Method of Soybean Kernel

A geometric modeling and grain technology, which is applied in the field of soybean grain mathematical modeling and analysis, can solve problems such as long time, consumption, and complex algorithm, and achieve the effects of high calculation efficiency, improved simulation calculation efficiency and high accuracy.

Active Publication Date: 2021-08-27
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Soybean grain modeling methods mainly include ellipsoid approximation, hypersphere approximation and polyhedron approximation. Due to the complexity of the algorithm, when using the above method for simulation calculation, the contact calculation between particles and the solution process need to consume a long time time

Method used

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  • A Geometric Modeling Method of Soybean Kernel
  • A Geometric Modeling Method of Soybean Kernel
  • A Geometric Modeling Method of Soybean Kernel

Examples

Experimental program
Comparison scheme
Effect test

experiment example 1

[0104] Experimental Example 1: Using the geometric modeling method provided by the present invention to create a three-dimensional five-sphere combination ball model of Suinong No. 42 soybean grains, wherein the average spherical rate of Suinong No. 42 soybean grains is 0.95;

[0105] Step 1. Randomly select 200 Suinong 42 soybean grains with good appearance, measure their three-axis dimensions with a digital display vernier caliper, and obtain the average value of each characteristic dimension;

[0106] Step 2, according to the average value of each feature size in step 1, determine the three-axis size of the corresponding ellipsoid,

[0107] With the geometric center of the corresponding ellipsoid as the coordinate origin, find the coordinates of each vertex of the ellipsoid:

[0108] (0,0,7.44), (0,0,-7.44), (0,7.24,0), (0,-7.24,0), (6.51,0,0), (-6.51,0,0)

[0109] Taking the coordinate origin (0,0,0) of the soybean grain model as the center, fill the first ball O with a r...

experiment example 2

[0112] Experimental example 2: use the present invention to create a three-dimensional nine-ball combination ball model of Jidou 17 (spherical rate 0.87):

[0113] Step 1, randomly select 200 Jidou 17 soybean grains with good appearance, measure their three-axis dimensions with a digital display vernier caliper, and obtain the average value of each characteristic dimension;

[0114] Step 2 is to determine the three-axis size of the corresponding ellipsoid according to the average value of each characteristic size in step 1, and take the geometric center of the corresponding ellipsoid as the coordinate origin to obtain the coordinates of each vertex of the ellipsoid,

[0115]

[0116] (0,0,6.96), (0,0,-6.96), (0,6.2,0), (0,-6.2,0), (5.1,0,0), (-5.1,0,0)

[0117] Step 3, fill according to the combination of five balls: take the coordinate origin (0,0,0) of the soybean grain model as the center, fill the first ball O with a radius of 2.56 in the soybean grain model 1 ;

[01...

experiment example 3

[0121] Experimental example 3: Using the present invention to create a three-dimensional thirteen-ball combination ball model of Zhongdou 39, the spherical rate is 0.81;

[0122] Step 1, randomly select 200 Zhongdou 39 soybean grains with good appearance, measure their three-axis dimensions with a digital display vernier caliper, and obtain the average value of the characteristic dimensions;

[0123]

[0124] Step 2, according to the average value of each feature size in step 1, determine the three-axis size of the corresponding ellipsoid, take the geometric center of the corresponding ellipsoid as the coordinate origin, and obtain the coordinates of each vertex of the ellipsoid,

[0125] (0,0,7.36), (0,0,-7.36), (0,6,0), (0,-6,0), (4.73,0,0), (-4.73,0,0)

[0126] Step 3, fill according to the combination of five balls: take the coordinate origin (0,0,0) of the soybean grain model as the center, fill the first ball O with a radius of 2.365 in the soybean grain model 1 ;

...

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Abstract

The invention discloses a soybean grain geometric modeling method, comprising: step 1, selecting a plurality of soybean grains of a variety to be modeled, respectively detecting the characteristic size of each soybean grain, and calculating the sphericity φ of each soybean grain respectively i , to obtain the average sphericity rate of the variety to be modeled; step 2, divide the range of sphericity rate of soybean grain into the first sphericity rate change interval, the second sphericity rate change interval and the third sphericity rate from large to small Variation interval; step 3, determine the range of the average sphericity rate, the present invention calculates the sphericity rate of the grain to be modeled by detecting the characteristic size of the soybean grain, and determines the filling model according to the range of the sphericity rate. Under the premise of filling accuracy, the number of filling balls is small, which can improve the simulation calculation efficiency.

Description

technical field [0001] The invention relates to the field of mathematical modeling and analysis of soybean grains, in particular to a geometric modeling method for soybean grains. Background technique [0002] Agricultural economic crops such as soybeans, red beans, mung beans, etc. are widely planted in most parts of the country, and many related agricultural machinery and equipment are needed when sowing and harvesting crops. In order to study the interaction between soybean grains and mechanical parts and optimize mechanical parts It is very necessary to establish an appropriate soybean grain model for structural parameters and working parameters. Soybean grain modeling methods mainly include ellipsoid approximation, hypersphere approximation and polyhedron approximation. Due to the complexity of the algorithm, when using the above method for simulation calculation, the contact calculation between particles and the solution process need to consume a long time time. The ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06F30/10
Inventor 于建群闫东旭于亚军王扬周龙
Owner JILIN UNIV
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