Design Evaluation and Performance Analysis of a Double-Row Pneumatic Precision Metering Device for Brassica chinensis
Abstract
:1. Introduction
2. Materials and Methods
2.1. Structure and Working Principle of Seed Metering Device
2.2. Physical Properties of Brassica Chinensis
2.3. Structural Design and Theoretical Analysis of the Metering Plate
2.3.1. Determination of Key Parameters for the Metering Plate
2.3.2. Design of Diversion Tube for Seed Metering Device
2.3.3. Force Analysis of Seed-Filling Process
2.4. Experimental Materials and Equipment
2.5. Experimental Methods and Evaluation Indicators
3. Results and Discussion
3.1. Single Factor Experiment
3.1.1. Effect of Negative Pressure on Seeding Performance
3.1.2. Effect of Angular Velocity on Seeding Performance
3.1.3. Effect of Cone Angle on Seeding Performance
3.2. Central Composite Design Experiment
3.2.1. Experimental Design and Results
3.2.2. Analysis of Variance
− 0.014x2x3 − 6.567x12 − 1.287x22 + 0.008x32
+ 0.037x2x3 + 5.935x12 + 1.210x22 − 0.004x32
+ 1.591 × 10−15x2x3 − 6.036x12 − 1.591x22 + 0.002x32
−0.014x2x3 + 6.288x12 + 1.843x22 − 0.008x32
3.2.3. Effect of Interaction Factors on Seeding Performance
3.2.4. Parameter Optimization
3.2.5. Bench Verification Experiment
4. Conclusions
- Aiming at the characteristics of small size and high sphericity of BC seeds and meeting the row spacing of seeding by agronomic requirements, a double-row pneumatic metering device that can be used for high-speed and precise double-row seeding was developed. The metering device can complete double-row seeding with a double-row metering plate, and can meet different row spacing of seeding requirements by replacing different diversion tubes. Furthermore, the structure and key dimensions of the double-row metering plate were determined, the other key components of metering device were designed, and the force analysis of the seed-filling process was carried out.
- The NP, the AV of the metering plate, and the CA of the suction hole were selected as the main influencing factors of the experiment. A single factor experiment was carried out to investigate the influence of each factor on the seeding performance of the inner and outer circles.
- For further exploring the relationship between the seeding performance and the NP, AV, and CA, the CCD scheme was applied in the experiment. Moreover, the experimental results were analyzed by ANOVA, and the regression equation between the evaluation indicators and the influencing factors was established. It was found from ANOVA that the NP, AV, the interaction term of NP and AV, the quadratic term of NP, the quadratic term of AV, and the quadratic term of CA were significant factors affecting the seeding performance of the inner and outer circles. Furthermore, the effect of interaction factors on the seeding performance of the inner and outer circle was also studied.
- To explore the best combination of parameters, the parameters were optimized with the goal that the QI of the inner and outer circle was greater than 94% and the MI was less than 2.5%. After parameter optimization, it was found that when the NP was 1.55–1.72 kPa, the AV was 1.1–1.9 rad/s, and the CA was 60°, the seeding performance of the metering device and the coefficient of variation (CV) of the seed mass were good.
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Nomenclature (Abbreviations)
NP | Negative pressure (kPa) |
AV | Angular velocity (rad/s) |
CA | Cone angle (°) |
CCD | Central composite design |
ANOVA | Analysis of variance |
QI | Qualified index (%) |
MI | Miss index (%) |
CV | Coefficient of variation (%) |
BC | Brassica chinensis |
MTI | Multiple index (%) |
QO | Qualified index of outer circle (%) |
QI | Qualified index of inner circle (%) |
OC | Outer circle |
IC | Inner circle |
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Physical Properties | Maximum Value, mm | Minimum Value, mm | Mean, mm | Standard Error |
---|---|---|---|---|
Length l | 2.04 | 1.39 | 1.74 | 0.15 |
Width w | 1.91 | 1.30 | 1.65 | 0.13 |
Thickness h | 1.97 | 1.33 | 1.63 | 0.16 |
Thousand Seed mass, g | - | - | 2.410 | - |
Level | NP [a] x1, kPa | AV [b] x2, rad⋅s−1 | CA [c] x3, ° |
---|---|---|---|
−1 | 0.5 | 1.5 | 45 |
0 | 1.5 | 2.5 | 60 |
1 | 2.5 | 3.5 | 75 |
NO. | NP [a] x1, kPa | AV [b] x2, rad⋅s−1 | CA[c] x3, ° | QI [d], % | MI [e], % | QI, % | MI, % |
---|---|---|---|---|---|---|---|
OC [f] | IC [g] | ||||||
1 | −1 | −1 | −1 | 85.56 | 13.33 | 91.11 | 8.33 |
2 | 1 | −1 | −1 | 92.78 | 3.33 | 88.89 | 2.22 |
3 | −1 | 1 | −1 | 78.33 | 21.67 | 74.44 | 25.56 |
4 | 1 | 1 | −1 | 91.11 | 4.44 | 88.33 | 6.11 |
5 | −1 | −1 | 1 | 87.22 | 9.44 | 91.67 | 7.22 |
6 | 1 | −1 | 1 | 92.78 | 3.89 | 87.78 | 1.67 |
7 | −1 | 1 | 1 | 77.22 | 22.78 | 75.00 | 25.00 |
8 | 1 | 1 | 1 | 92.22 | 4.44 | 87.22 | 3.33 |
9 | −1 | 0 | 0 | 81.11 | 16.67 | 83.33 | 16.67 |
10 | 1 | 0 | 0 | 89.44 | 3.89 | 87.78 | 2.22 |
11 | 0 | −1 | 0 | 93.33 | 3.33 | 91.11 | 1.67 |
12 | 0 | 1 | 0 | 87.78 | 7.78 | 88.89 | 8.33 |
13 | 0 | 0 | −1 | 92.78 | 2.78 | 91.67 | 1.67 |
14 | 0 | 0 | 1 | 94.44 | 3.89 | 92.22 | 1.11 |
15 | 0 | 0 | 0 | 95.00 | 4.44 | 94.44 | 3.89 |
16 | 0 | 0 | 0 | 92.78 | 3.33 | 93.33 | 2.78 |
17 | 0 | 0 | 0 | 93.33 | 5.00 | 92.78 | 4.44 |
18 | 0 | 0 | 0 | 92.78 | 4.44 | 91.67 | 3.89 |
19 | 0 | 0 | 0 | 94.44 | 3.89 | 94.44 | 3.33 |
20 | 0 | 0 | 0 | 93.89 | 4.44 | 92.78 | 3.89 |
EI [a] | Source | SS [b] | DF [c] | F Value | p-Value | Significance |
---|---|---|---|---|---|---|
QO[d] | Model | 538.09 | 9 | 30.60 | <0.0001 | ** |
x1-NP | 239.02 | 1 | 122.33 | <0.0001 | ** | |
x2-AV | 62.55 | 1 | 32.01 | 0.0002 | ** | |
x3-CA | 1.10 | 1 | 0.56 | 0.4699 | ||
x1x2 | 28.13 | 1 | 14.39 | 0.0035 | ** | |
x1x3 | 0.04 | 1 | 0.02 | 0.8902 | ||
x2x3 | 0.34 | 1 | 0.18 | 0.6835 | ||
x12 | 118.59 | 1 | 60.69 | <0.0001 | ** | |
x22 | 4.55 | 1 | 2.33 | 0.1578 | ||
x32 | 8.60 | 1 | 4.40 | 0.0623 | ||
Residual | 19.54 | 10 | ||||
Lack of Fit | 15.44 | 5 | 3.76 | 0.0861 | ||
Pure Error | 4.10 | 5 | ||||
Cor Total | 557.63 | 19 | ||||
MO[e] | Model | 728.02 | 9 | 109.13 | <0.0001 | ** |
x1-NP | 408.32 | 1 | 550.86 | <0.0001 | ** | |
x2-AV | 77.23 | 1 | 104.19 | <0.0001 | ** | |
x3-CA | 0.12 | 1 | 0.17 | 0.6921 | ||
x1x2 | 50.10 | 1 | 67.59 | <0.0001 | ** | |
x1x3 | 1.39 | 1 | 1.88 | 0.2002 | ||
x2x3 | 2.46 | 1 | 3.32 | 0.0982 | ||
x12 | 96.88 | 1 | 130.70 | <0.0001 | ** | |
x22 | 4.03 | 1 | 5.44 | 0.0419 | * | |
x32 | 2.80 | 1 | 3.78 | 0.0805 | ||
Residual | 7.41 | 10 | ||||
Lack of Fit | 5.77 | 5 | 3.50 | 0.0976 | ||
Pure Error | 1.65 | 5 | ||||
Cor Total | 735.44 | 19 | ||||
QI[f] | Model | 562.37 | 9 | 19.84 | <0.0001 | ** |
x1-NP | 59.78 | 1 | 18.98 | 0.0014 | ** | |
x2-AV | 134.54 | 1 | 42.71 | <0.0001 | ** | |
x3-CA | 0.03 | 1 | 0.01 | 0.9239 | ||
x1x2 | 129.77 | 1 | 41.19 | <0.0001 | ** | |
x1x3 | 1.39 | 1 | 0.44 | 0.5209 | ||
x2x3 | 1.14E-13 | 1 | 3.61E-14 | 1.0000 | ||
x12 | 100.19 | 1 | 31.80 | 0.0002 | ** | |
x22 | 6.96 | 1 | 2.21 | 0.1680 | ||
x32 | 0.34 | 1 | 0.11 | 0.7476 | ||
Residual | 31.50 | 10 | ||||
Lack of Fit | 25.73 | 5 | 4.45 | 0.0634 | ||
Pure Error | 5.78 | 5 | ||||
Cor Total | 593.87 | 19 | ||||
MI[g] | Model | 1000.81 | 9 | 120.17 | <0.0001 | ** |
x1-NP | 451.99 | 1 | 488.43 | <0.0001 | ** | |
x2-AV | 222.97 | 1 | 240.95 | <0.0001 | ** | |
x3-CA | 3.09 | 1 | 3.34 | 0.0975 | ||
x1x2 | 108.49 | 1 | 117.23 | <0.0001 | ** | |
x1x3 | 0.34 | 1 | 0.37 | 0.5554 | ||
x2x3 | 0.35 | 1 | 0.38 | 0.5507 | ||
x12 | 108.72 | 1 | 117.49 | <0.0001 | ** | |
x22 | 9.34 | 1 | 10.09 | 0.0099 | ** | |
x32 | 8.59 | 1 | 9.28 | 0.0123 | * | |
Residual | 9.25 | 10 | ||||
Lack of Fit | 7.61 | 5 | 4.65 | 0.0586 | ||
Pure Error | 1.64 | 5 | ||||
Cor Total | 1010.07 | 19 |
Experiment Indices | Number of Experiments | Mean | Standard Error | |||
---|---|---|---|---|---|---|
NO.1 | NO.2 | NO.3 | ||||
QI, % | OC | 94.58 | 94.17 | 95.42 | 94.72 | 0.52 |
IC | 94.17 | 94.58 | 94.58 | 94.44 | 0.19 | |
MI, % | OC | 2.08 | 2.5 | 2.5 | 2.36 | 0.20 |
IC | 2.08 | 1.25 | 1.67 | 1.67 | 0.34 |
Experiment Indices | Number of Experiments | Mean | TSM [a] | RE [b], % | CV [c], % | CV of Total Seed Mass, % | ||||
---|---|---|---|---|---|---|---|---|---|---|
NO.1 | NO.2 | NO.3 | NO.4 | NO.5 | ||||||
Seed mass of outer circle, g | 1.838 | 1.808 | 1.769 | 1.824 | 1.816 | 1.811 | 2.068 | 12.43 | 5.15 | 8.60 |
Seed mass of inner circle, g | 2.072 | 1.897 | 1.972 | 1.910 | 1.889 | 1.948 | 2.068 | 5.80 | ||
Total seed mass, g | 3.910 | 3.705 | 3.741 | 3.734 | 3.705 | 3.759 | 4.136 | 9.12 |
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Li, B.; Ahmad, R.; Qi, X.; Li, H.; Nyambura, S.M.; Wang, J.; Chen, X.; Li, S. Design Evaluation and Performance Analysis of a Double-Row Pneumatic Precision Metering Device for Brassica chinensis. Sustainability 2021, 13, 1374. https://doi.org/10.3390/su13031374
Li B, Ahmad R, Qi X, Li H, Nyambura SM, Wang J, Chen X, Li S. Design Evaluation and Performance Analysis of a Double-Row Pneumatic Precision Metering Device for Brassica chinensis. Sustainability. 2021; 13(3):1374. https://doi.org/10.3390/su13031374
Chicago/Turabian StyleLi, Bohong, Riaz Ahmad, Xindan Qi, Hua Li, Samuel Mbugua Nyambura, Jufei Wang, Xi Chen, and Shengbing Li. 2021. "Design Evaluation and Performance Analysis of a Double-Row Pneumatic Precision Metering Device for Brassica chinensis" Sustainability 13, no. 3: 1374. https://doi.org/10.3390/su13031374
APA StyleLi, B., Ahmad, R., Qi, X., Li, H., Nyambura, S. M., Wang, J., Chen, X., & Li, S. (2021). Design Evaluation and Performance Analysis of a Double-Row Pneumatic Precision Metering Device for Brassica chinensis. Sustainability, 13(3), 1374. https://doi.org/10.3390/su13031374