Journal of Jilin University(Engineering and Technology Edition) ›› 2023, Vol. 53 ›› Issue (4): 1231-1244.doi: 10.13229/j.cnki.jdxbgxb.20210767

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Design and experiment of bionic ear picking device for fresh corn

Guang-qiang ZHU1(),Tian-yu LI1,Fu-jun ZHOU2(),Wen-ming WANG3   

  1. 1.College of Engineering,Northeast Agricultural University,Harbin 150030,China
    2.College of Mechanical and Marine Engineering,Beibu Gulf University,Qinzhou 535011,China
    3.School of Mechanical Engineering,Heilongjiang University of Science and Technology,Harbin 150020,China
  • Received:2022-02-07 Online:2023-04-01 Published:2023-04-20
  • Contact: Fu-jun ZHOU E-mail:zhuguangqiang123@126.com;fjzhou@163.com

Abstract:

Aiming at the problems of damage to ears and grains and adulteration of stems and leaves due to the harvesting of the existing fresh corn ear picking operations, imitating the posture of manual harvesting of corn ears, a bionic ear picking device for fresh corn was designed to reduce grain damage on ears, reduce the power consumption, and improve the harvest quality. The structure design and parameter analysis of the ear picking device were carried out. A quadratic orthogonal rotation combination test was used, taking the rotation speed of the picking roller, the angle of inclination clamping mechanism, the gap of the clamping mechanism and the forward speed of the unit as the influencing factors, take grain crushing rate, ear impurity rate, and power consumption as the test indicators. And using Design-Expert software to analyze the variance and response surface of the test data, the mathematical model and factor contribution rate between the influencing factors and the response surface were obtained, and the model is tested and verified. The results show that when the rotation speed of the breaking roller was 465 r/min, the angle of inclination clamping mechanism was 19°, the gap of the clamping mechanism was 8 mm, and the forward speed of the unit was 1.2 m/s, and the corresponding evaluation indexes were as follows: the average grain crushing rate was 0.88%, the average ear impurity rate was 1.3%, the average power consumption was 3.1 kW, and the operation stability of the device is good. Field test results show that the average grain crushing rate was 0.87%, the average ear impurity rate was 1.22%, and the average power consumption is 3.0 kW, which reduces ear impurity and damage, reduces power consumption, and its performance meets the requirements of fresh corn harvesting operations.

Key words: agricultural mechanization engineering, bionic ear picking of fresh corn, device design, optimization test

CLC Number: 

  • S233.4

Fig.1

Device structure diagram"

Fig.2

Bionic bending and snapping mechanism"

Fig.3

Flexible clamping and conveying mechanism"

Fig.4

Motion diagram of flexible clamping and conveying mechanism"

Fig.5

Shear load displacement curve"

Fig.6

Schematic diagram of divider"

Fig.7

Structure diagram device test bench"

Fig.8

Hydraulic control circuit diagram"

Fig.9

Device control system block diagram"

Table 1

Determination of physical parameters of Jingkenuo 2010"

参数均值参数均值
株高/mm2435籽粒含水率/%60
最低结穗高度/mm895果穗根部直径/mm43
果穗长度/mm191结穗位茎秆直径/mm35

Fig.10

Physical chart of bench test bed"

Table 2

Actual value and code of variable"

编码因 素
摘穗辊转速/(r·min-1夹持机构倾角/(o)夹持输送机构间隙/mm机组前进速度/(m·s-1
1.682988.820121.40
1814.51710.741.19
0640.2148.90.98
-1465.9117.060.77
-1.682291.685.80.56

Table 3

Experiment design and results"

编号因 素目标函数

摘穗辊转速Z1

/(r·min-1

夹持机构倾角Z2/(°)夹持输送机构间隙Z3/mm

机组前进速度

Z4/(m·s-1

籽粒破碎率Y1

/%

果穗含杂率Y2

/%

功耗Y3

/kW

1465.9011.07.060.770.891.684.81
2814.5011.07.060.770.761.574.31
3465.9017.07.060.770.731.434.32
4814.5017.07.060.770.611.223.63
5465.9011.010.740.770.811.554.32
6814.5011.010.740.770.711.434.31
7465.9017.010.740.770.521.013.14
8814.5017.010.740.770.450.862.44
9465.9011.07.061.190.470.932.69
10814.5011.07.061.190.440.892.76
11465.9017.07.061.190.691.353.67
12814.5017.07.061.190.360.651.95
13465.9011.010.741.190.581.293.55
14814.5011.010.741.190.310.471.47
15465.9017.010.741.190.360.682.04
16814.5017.010.741.190.340.591.85
17291.6014.08.900.980.450.892.51
18988.8014.08.900.980.480.932.66
19640.208.08.900.980.631.253.68
20640.2020.08.900.980.611.223.55
21640.2014.05.800.980.691.364.05
22640.2014.012.000.980.671.343.98
23640.2014.08.900.560.881.654.76
24640.2014.08.901.400.511.013.22
25640.2014.08.900.980.851.574.39
26640.2014.08.900.980.831.554.33
27640.2014.08.900.980.921.714.54
28640.2014.08.900.981.011.874.93
29640.2014.08.900.980.791.494.59
30640.2014.08.900.980.811.544.73

Table 4

Variance analysis of regression equation of grain crushing rate"

项目来源平方和自由度均方FP
模型0.94/0.9114/90.067/0.106.82/11.690.0003***/<0.0001***
Z10.043/0.0431/10.043/0.0434.32/4.890.0553*/0.0388**
Z20.038/0.0381/10.038/0.0383.82/4.330.0696*/0.0506*
Z30.035/0.351/10.035/0.0353.50/3.970.0809*/<0.0601*
Z40.30/0.301/10.30/0.3030.16/34.18<0.0001***/<0.0001***
Z1Z26.25×10-616.25×10-66.347×10-30.9802
Z1Z31.406×10-311.406×10-30.140.7108/
Z1Z43.306×10-313.306×10-30.340.5709
Z2Z30.02010.0202.060.1715
Z2Z40.041/0.0411/10.041/0.0414.16/4.720.0593*/0.0420**
Z3Z41.056×10-311.056×10-30.110.7478
Z120.33/0.331/10.33/0.3333.26/37.69<0.0001***/<0.0001***
Z220.14/0.141/10.14/0.1413.85/15.700.0020***/0.0008***
Z320.085/0.0851/10.085/0.0858.59/9.730.0103**/0.0054***
Z420.074 /0.0741/10.074/0.0747.47/8.460.0154**/0.0087***
残差0.15/0.1715/209.847×10-3/8.689×10-3
失拟项0.11/0.1410/150.011/9.314×10-31.67/1.370.2982/0.3894
纯误差0.034/0.0345/56.817×10-3/6.817×10-3
所有项1.09/1.0929/29

Table 5

Variance analysis of the regression equation of ear impurity rate"

项目来源平方和自由度均方FP
模型3.31/3.0214/80.24/0.385.01/7.990.0019***/<0.0001***
Z10.19/0.191/10.19/0.194.12/4.110.0605*/0.0555*
Z20.18/0.181/10.18/0.183.82/3.810.0696*/0.0643*
Z30.15/0.151/10.15/0.153.12/3.110.00976***/<0.0921*
Z41.12/1.121/11.12/1.1223.69/23.640.0002***/<0.0001***
Z1Z22.25×10-412.25×10-44.768×10-30.9459
Z1Z39.0×10-419.0×10-40.0190.8920
Z1Z40.0710.071.490.2414
Z2Z30.08710.0871.840.1946
Z2Z40.1210.122.600.1280
Z3Z44.225×10-314.225×10-30.090.7689
Z121.05/1.051/11.05/1.0522.24/22.200.0003***/0.0001***
Z220.36/0.361/10.36/0.367.60/7.590.0147**/0.0119**
Z320.20/0.201/10.20/0.204.26/4.250.0567*/0.0518*
Z420.23 /0.231/10.23/0.234.77/4.760.0452**/0.0406**
残差0.71/0.9915/210.047/0.047
失拟项0.61/0.8910/160.061/0.0562.99/2.750.1189/0.1340
纯误差0.10/0.105/50.020/0.020
所有项4.02/4.0229/29

Table 6

Variance analysis of regression equation for power consumption"

项目来源平方和自由度均方FP
模型22.48/21.7714/91.61/2.426.73/11.280.0004***/<0.0001***
Z10.64/0.641/10.64/0.642.67/2.970.1232/0.1002
Z21.32/1.321/11.32/1.325.53/6.160.0327**/0.0221**
Z31.03/1.031/11.03/1.034.31/4.800.0555*/<0.0405**
Z46.79/6.791/16.79/6.7928.47/31.69<0.0001***/<0.0001***
Z1Z20.05910.0590.250.6268
Z1Z31.563×10-411.563×10-46.546×10-40.9799
Z1Z40.01110.0110.0440.8366
Z2Z31.43/1.431/11.43/1.436.01/6.690.0270**/0.0177**
Z2Z40.5910.592.470.1371
Z3Z40.0510.050.210.6553
Z128.65/8.651/18.65/8.6536.24/40.34<0.0001***/<0.0001***
Z222.54/2.541/12.54/2.5410.62/11.830.0053***/0.0026***
Z321.14/1.141/11.14/1.144.78/5.330.0450*/0.0318**
Z421.21 /1.211/11.21/1.215.08/5.660.0395**/0.0275**
残差3.58/4.2915/200.24/0.21
失拟项2.71/3.4210/150.27/0.231.56/1.310.3253/0.4090
纯误差0.87/0.875/50.17/0.17
所有项26.06/26.0629/29

Table 7

Importance of effects of factors on response functions"

性能指标影响因素贡献率贡献率排序
Z1Z2Z3Z4
Y11.742.301.862.21Z2Z4Z3Z1
Y22.042.141.672.22Z4Z2Z1Z3
Y31.602.441.982.07Z2Z4Z3Z1

Fig.11

Field experiment"

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