Submitted:
18 April 2023
Posted:
21 April 2023
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Abstract
Keywords:
1. Introduction
2. Structure Design and Model Analysis of Grass Guide
2.1. Overall Structure of the Harvester
| Parameter | Value |
|---|---|
| Chassis power/(kW) | 65 |
| Machine size (length × width × height) /mm | 5015×2560×2820 |
| Weight of the whole machine/kg | 2990 |
| Working cut/mm | 2000 |
| Feeding amount/(kg·s-1) | 4 |
| Work efficiency/hm2·h-1 | 0.2~0.5 |
2.2. Threshing Device and Grass Guiding Structure
2.3. Analysis of Mathematical Model of Material Movement
2.3.1. Basic Assumptions
2.3.2. Motion Modeling
2.3.3. Movement Model Analysis
3. Verify Materials and Methods
3.1. Test Equipment and Materials

3.2. Evaluation Index and Test Design
3.2.1. Evaluation Index
3.2.2. Test Design
4. Test Results and Analysis
4.1. Response Surface Test Results
4.2. Significance Analysis
4.3. Response Surface Analysis
4.4. Parameter Optimization
4.5. Validation Tests
5. Research Conclusions and Discussion
5.1. Conclusion
5.2. Discussion
References
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| Factors | Levels | ||
| -1 | 0 | 1 | |
| Drum speed(A,r/min) Operation Speed(B,km/h) Guide blade spiral angle(C,°) |
500 2.5 15 |
600 3.5 25 |
700 4.5 35 |
| Serial number | Experimental factor | Evaluation indicators/% | ||||
| A/(r/min) | B/(km/h) | C/(°) | PLR | PIR | PBR | |
| 1 | 500 | 3.5 | 35 | 1.64 | 0.65 | 0.52 |
| 2 | 700 | 3.5 | 35 | 1.34 | 1.30 | 1.18 |
| 3 | 700 | 2.5 | 25 | 1.23 | 1.47 | 1.52 |
| 4 | 600 | 3.5 | 25 | 1.11 | 0.89 | 0.73 |
| 5 | 600 | 2.5 | 35 | 1.34 | 1.02 | 0.62 |
| 6 | 600 | 4.5 | 35 | 2.04 | 1.25 | 1.10 |
| 7 | 600 | 3.5 | 25 | 1.14 | 0.94 | 0.68 |
| 8 | 500 | 3.5 | 15 | 1.49 | 0.85 | 0.74 |
| 9 | 600 | 4.5 | 15 | 1.58 | 1.34 | 1.23 |
| 10 | 600 | 3.5 | 25 | 1.03 | 0.97 | 0.70 |
| 11 | 600 | 3.5 | 25 | 1.08 | 0.86 | 0.63 |
| 12 | 500 | 2.5 | 25 | 1.42 | 0.70 | 0.82 |
| 13 | 600 | 2.5 | 15 | 1.26 | 1.27 | 1.16 |
| 14 | 500 | 4.5 | 25 | 1.99 | 1.13 | 1.05 |
| 15 | 600 | 3.5 | 25 | 0.99 | 0.83 | 0.75 |
| 16 | 700 | 3.5 | 15 | 0.83 | 1.53 | 1.72 |
| 17 | 700 | 4.5 | 25 | 1.69 | 1.62 | 1.68 |
| Indicator | Source | Sum of squares |
df | Mean squares |
F-value | P-value | Significance |
| PLR | Model | 1.81 | 9 | 0.2 | 32.06 | < 0.0001 | ** |
| A | 0.26 | 1 | 0.26 | 41.79 | 0.0003 | ** | |
| B | 0.53 | 1 | 0.53 | 83.52 | < 0.0001 | ** | |
| C | 0.18 | 1 | 0.18 | 28.62 | 0.0011 | ** | |
| AB | 3.03E-03 | 1 | 3.03E-03 | 0.48 | 0.5103 | ||
| AC | 0.032 | 1 | 0.032 | 5.15 | 0.0575 | ||
| BC | 0.036 | 1 | 0.036 | 5.74 | 0.0478 | * | |
| 0.084 | 1 | 0.084 | 13.36 | 0.0081 | ** | ||
| 0.58 | 1 | 0.58 | 92.27 | < 0.0001 | ** | ||
| 0.054 | 1 | 0.054 | 8.66 | 0.0216 | * | ||
| Residual | 0.044 | 7 | 6.29E-03 | ||||
| Lack of Fit | 0.029 | 3 | 9.81E-03 | 2.69 | 0.182 | ||
| Pure Error | 0.015 | 4 | 3.65E-03 | ||||
| Cor Total | 1.86 | 16 | |||||
| R2 | 0.9763 | ||||||
| Adj R2 | 0.9459 | ||||||
| PIR | Model | 1.37 | 9 | 0.15 | 43.35 | < 0.0001 | ** |
| A | 0.84 | 1 | 0.84 | 239.53 | < 0.0001 | ** | |
| B | 0.097 | 1 | 0.097 | 27.65 | 0.0012 | ** | |
| C | 0.074 | 1 | 0.074 | 21.17 | 0.0025 | ** | |
| AB | 0.02 | 1 | 0.02 | 5.60 | 0.0499 | * | |
| AC | 2.25E-004 | 1 | 2.25E-004 | 0.064 | 0.8072 | ||
| BC | 6.4E-003 | 1 | 6.4E-003 | 1.83 | 0.2184 | ||
| 0.04 | 1 | 0.04 | 11.38 | 0.0119 | * | ||
| 0.23 | 1 | 0.23 | 66.28 | <0.0001 | ** | ||
| 0.032 | 1 | 0.032 | 9.16 | 0.0192 | * | ||
| Residual | 0.025 | 7 | 3.501E-03 | ||||
| Lack of Fit | 0.011 | 3 | 3.808 E-03 | 1.16 | 0.4268 | ||
| Pure Error | 0.013 | 4 | 3.27E-03 | ||||
| Cor Total | 1.39 | 16 | |||||
| R2 | 0.9824 | ||||||
| Adj R2 | 0.9597 | ||||||
| PBR | Model | 2.29 | 9 | 0.25 | 71.44 | < 0.0001 | ** |
| A | 1.10 | 1 | 1.10 | 309.91 | < 0.0001 | ** | |
| B | 0.11 | 1 | 0.11 | 31.04 | 0.0008 | ** | |
| C | 0.26 | 1 | 0.26 | 71.84 | < 0.0001 | ** | |
| AB | 1.225E-003 | 1 | 1.225E-03 | 0.34 | 0.5758 | ||
| AC | 0.026 | 1 | 0.026 | 7.20 | 0.0314 | * | |
| BC | 0.042 | 1 | 0.042 | 11.81 | 0.0109 | * | |
| 0.36 | 1 | 0.36 | 100.22 | < 0.0001 | ** | ||
| 0.33 | 1 | 0.33 | 91.79 | < 0.0001 | ** | ||
| 0.011 | 1 | 0.011 | 3.08 | 0.1228 | |||
| Residual | 0.025 | 7 | 3.558E-03 | ||||
| Lack of Fit | 0.016 | 3 | 5.108E-03 | 1.43 | 0.1993 | ||
| Pure Error | 8.68 E-003 | 4 | 2.17E-03 | ||||
| Cor Total | 2.31 | 16 | |||||
| R2 | 0.9892 | ||||||
| Adj R2 | 0.9754 |
| Name | Constraints | Solutions | ||||||
| Goal | Lower limit |
Upper limit |
Lower weight |
Upper weight |
Importance | Optimized results |
Parameter adjustment |
|
| A(r/min) | is in range | 500 | 700 | 1 | 1 | 3 | 551.29 | 550 |
| B(km/h) | is in range | 2.5 | 4.5 | 1 | 1 | 3 | 3.14 | 3 |
| C(°) | is in range | 10 | 50 | 1 | 1 | 3 | 28.22 | 28 |
| PLR(%) | minimize | 0 | 2 | 1 | 1 | 3 | 1.18 | 1.26 |
| PIR(%) | minimize | 0 | 1.60 | 1 | 1 | 3 | 0.72 | 0.73 |
| PBR(%) | minimize | 0 | 1.72 | 1 | 1 | 3 | 0.53 | 0.61 |
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