Journal of Jilin University(Engineering and Technology Edition) ›› 2022, Vol. 52 ›› Issue (3): 693-702.doi: 10.13229/j.cnki.jdxbgxb20200812

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Simulation test and optimization of grain breakage of silage maize based on differential roller

Duan-yang GENG1(),Yan-cheng SUN1,Xiao-dong MU1,Guo-dong ZHANG1,Hui-xin JIANG2,Jun-ke ZHU1   

  1. 1.School of Agricultural Engineering and Food Science，Shandong University of Technology，Zibo 255000，China
    2.Shandong Animal Husbandry Terminus，Jinan 250002，China
  • Received:2020-10-23 Online:2022-03-01 Published:2022-03-08

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Abstract:

In order to solve the problems of poor grain crushing effect and low crushing rate of domestic silage corn harvester, which affect the nutrient transformation of silage, a corn grain bonding contact model was established based on discrete element method, and the corresponding bonding model parameters were determined. Combined with the principle of differential grain crushing, the effects of crushing roller gap, upper and lower crushing roller speeds on grain crushing rate of silage corn were explored. The results show that when the upper crushing roller speed was 5197 r/min, the lower crushing roller speed (differential ratio) was 3949 r/min and the crushing roller gap was 3 mm, the average crushing rate of bonding bond of corn grain discrete element model reached 95.35%. The results show that the grain crushing rate of silage corn was 92.1%, about 75.3% of silage corn grains were less than 1/4 of the normal size; 19.5% silage corn grains were larger than 1/4 of normal size. The relative error between simulation test and bench test is 3.25%. It meets the fermentation and nutrient transformation standards of silage, and provides a new research method for the development of grain crushing technology and equipment.

Key words: agricultural engineering, grain breakage, silage corn, discrete element method

CLC Number: 

  • S225.5

Fig.1

Schematic diagram of kernel crushingtest bed for silage corn"

Fig.2

Structure of particle bonding model"

Fig.3

Little particles distribution ofparticle bonding model"

Fig.4

Corn kernel outline model"

Fig.5

Corn kernel bonding model"

Fig.6

Silage corn kernel loading curve with loading"

Table 1

Bond model parameter"

参 数数值
法向刚度系数/（108 N?m-1）6.25
切向刚度系数/（108 N?m-1）4.16
临界法向应力/MPa6.42
临界切向应力/MPa7.7
粘结半径/mm1

Fig.7

Crushing process of corn kernel model"

Fig.8

Effect of rotational speed of lower crushingroller on kernel crushing rate"

Fig.9

Effect of rotational speed of upper crushingroller on grain crushing effect"

Fig.10

Effect of crushing roller gap onkernel crushing effect"

Table 2

Factors and factor levels of experiment"

水平因 素

上破碎辊转速/

（r·min-1）

差速比/%破碎辊间隙/mm

-1

0

1

5064

5129

5197

20

22

24

1

3

5

Table 3

Test design and results"

试验因素粘结键破碎率/%
X1X2X3

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

0

-1

0

0

1

0

0

0

-1

-1

1

1

0

0

0

1

-1

0

-1

0

-1

0

1

1

0

0

0

1

-1

0

0

-1

0

1

0

0

0

1

1

-1

1

0

1

-1

0

0

0

0

-1

-1

0

82.19

70.50

82.19

74.33

69.51

85.14

85.96

82.19

71.27

80.16

95.35

83.27

82.19

82.19

78.92

92.22

81.43

Table 4

Variance result analysis"

变异

来源

离均差平方和自由度均方FP
模型807.89989.7711.400.0021
X1262.891262.8933.380.0156*
X2208.491208.4926.470.0083**
X387.65187.6511.130.0035**
X1X20.3210.320.0410.8462
X1X3128.941128.9416.370.0049
X2X37.3217.320.930.3672
X1222.06122.062.800.1382
X2231.41131.413.990.0860
X3261.88161.887.860.0264
残差55.1477.88－－
失拟55.14318.38－－
纯误差0.00040.000－－
误差863.0316－－－

Fig.11

Process of broken bond number variation"

Fig.12

Broken silage maize grain"

Fig.13

Silage corn grain crushing test bed"

Fig.14

Grain breakage of silage corn"

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