Design and Parameter Optimization of Rotary Double-Insertion Device for Small Arched Insertion Machine
Abstract
:1. Introduction
2. Materials and Methods
2.1. Rotary Double-Insertion Device Structure and Working Principle
2.2. Kinematic Analysis of Rotary Double-Insertion Device
2.3. Rotary Double-Insertion Device Construction Parameters
2.4. Motion Simulation of Rotary Double-Insertion Device
2.5. Test Material
2.6. Evaluation Indicators and Measurement Methods for Rotary Double-Insertion Device
3. Results and Discussion
3.1. Box–Behnken Center Combination Test and Analysis
3.2. Parameter Optimization
3.3. Field Tests
3.4. Discussion
4. Conclusions
- (1)
- By analyzing the process of small arched trellis skeleton construction, according to the kinematics principle that the traveling motion of the machine and the rotation of the parts themselves are combined into a composite motion, a rotary double-insertion device was designed, and a test stand was built to conduct a three-factor three-level Box–Behnken response surface test on the trellis qualification rate. The test results showed that the trellis qualified rate was mainly affected by the planting speed ratio, center distance of the planting arm group, and length of the pressing rod arm. The optimal ranges of the planting speed ratio, center distance of the planting arm group, and length of the pressing rod arm were 0.65–0.75, 540–560 mm, and 86–104 mm, respectively.
- (2)
- Design-Expert 13 software was used to analyze the results and basis of the actual working condition requirements of the planting machinery and optimized theoretical values were rounded to obtain the optimal parameter combination as follows: planting speed ratio, 0.7; planting and inserting arm group center distance, 554 mm; length of pressing rod arm, 93 mm; and trellis qualified rate, 98.05%. Based on the optimal parameter combination, the insertion mechanism was optimized and tested again, with the average value of the measured trellis qualification rate being 96.73%, and the relative error between the test value and theoretical optimization value being 1.32%. The model accuracy was high, thus verifying the reliability of the optimal parameter combination.
- (3)
- Field insertion test results showed that, with the rotary double-insertion device at the planting speed ratio of 0.7, the trellis qualified rate was 95.74% compared with the theoretical optimization value of 2.31% error in line with the design requirements of a small arched greenhouse insertion device. There was no trellis pole jumping pole, leakage pole, or damage. Moreover, if the overall operating conditions are favorable, a small arched greenhouse insertion device design and optimization can serve as a suitable reference. The overall operation was good, and the findings of this study can therefore serve as a basis for the design and optimization of the small arbor insertion device.
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Code Value | Planting Speed Ratio [A] | Planting Arm Center Distance [B] (mm) | Length of Pressing Rod Arm [C] (mm) |
---|---|---|---|
−1 | 0.6 | 500 | 80 |
0 | 0.7 | 550 | 95 |
1 | 0.8 | 600 | 110 |
Test No. | Planting Speed Ratio | Planting Arm Center Distance(mm) | Length of Lever Arm (mm) | Scaffold Pass Rate (%) |
---|---|---|---|---|
1 | 0.7 | 550 | 95 | 98 |
2 | 0.8 | 550 | 80 | 95 |
3 | 0.7 | 600 | 110 | 87 |
4 | 0.6 | 500 | 95 | 83 |
5 | 0.6 | 600 | 95 | 85 |
6 | 0.7 | 550 | 95 | 97 |
7 | 0.8 | 550 | 110 | 88 |
8 | 0.7 | 600 | 80 | 82 |
9 | 0.6 | 550 | 80 | 86 |
10 | 0.8 | 500 | 95 | 90 |
11 | 0.7 | 500 | 110 | 81 |
12 | 0.7 | 550 | 95 | 94 |
13 | 0.7 | 550 | 95 | 92 |
14 | 0.8 | 600 | 95 | 96 |
15 | 0.6 | 550 | 110 | 87 |
16 | 0.7 | 550 | 95 | 91 |
17 | 0.7 | 500 | 80 | 85 |
Source of Error | Sum of Squares | df | Mean Square Sum | F-Value | p-Value | Significance |
---|---|---|---|---|---|---|
Model | 621.28 | 9 | 69.03 | 39.45 | <0.0001 | ** |
A | 78.13 | 1 | 78.13 | 44.64 | 0.0003 | ** |
B | 15.13 | 1 | 15.13 | 8.64 | 0.0217 | * |
C | 4.50 | 1 | 4.50 | 2.57 | 0.1528 | |
AB | 16.00 | 1 | 16.00 | 9.14 | 0.0193 | * |
AC | 12.25 | 1 | 12.25 | 7.00 | 0.0331 | * |
BC | 20.25 | 1 | 20.25 | 11.57 | 0.0114 | * |
A2 | 6.58 | 1 | 6.58 | 3.76 | 0.0937 | * |
B2 | 164.47 | 1 | 164.47 | 93.98 | <0.0001 | ** |
C2 | 269.47 | 1 | 269.47 | 153.98 | <0.0001 | ** |
Residuals | 12.25 | 7 | 1.75 | |||
Misfit term | 12.25 | 3 | 4.08 | 1.77 | 0.3810 | |
Error | 10.8 | 4 | 2.7 | |||
R2 | 0.9475 |
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Hu, J.; Gong, Y.; Chen, X. Design and Parameter Optimization of Rotary Double-Insertion Device for Small Arched Insertion Machine. Agriculture 2024, 14, 739. https://doi.org/10.3390/agriculture14050739
Hu J, Gong Y, Chen X. Design and Parameter Optimization of Rotary Double-Insertion Device for Small Arched Insertion Machine. Agriculture. 2024; 14(5):739. https://doi.org/10.3390/agriculture14050739
Chicago/Turabian StyleHu, Jianling, Yan Gong, and Xiao Chen. 2024. "Design and Parameter Optimization of Rotary Double-Insertion Device for Small Arched Insertion Machine" Agriculture 14, no. 5: 739. https://doi.org/10.3390/agriculture14050739