Optimization of Structure Parameters of the Grouser Shoes for Adhesion Reduction under Black Soil

The black soil of Northeast China has a strong adhesion ability because of its unique physical properties, and the soil often adheres to the surface of the grouser shoes of tracked vehicles during the operation. The adhesion performance depends largely on structure parameters of the grouser shoes. T...

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Bibliographic Details
Published inAgriculture (Basel) Vol. 11; no. 8; p. 795
Main Authors Fu, Jun, Li, Jian, Tang, Xinlong, Wang, Ruixue, Chen, Zhi
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.08.2021
Subjects
Adhesion
Adhesive strength
black soil
Error analysis
Friction
grouser shoe
Indicators
Mathematical models
Moisture content
Optimization
Parameters
Physical properties
Regression analysis
Regression models
Response surface methodology
RSM
Shear tests
soil adhesion
Soil properties
Soils
Stress analysis
structure parameters
Thickness
Tracked vehicles
China
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Summary:The black soil of Northeast China has a strong adhesion ability because of its unique physical properties, and the soil often adheres to the surface of the grouser shoes of tracked vehicles during the operation. The adhesion performance depends largely on structure parameters of the grouser shoes. The grouser height, the grouser thickness, and the grouser splayed angle were selected as structure parameters. The adhesion force and adhesive soil mass were selected as indicators of adhesion performance. Therefore, the mathematical model between structure parameters and response indicators was established by the response surface method (RSM). The optimal parameters combination was that the grouser height was 20 mm, grouser thickness was 6.34 mm, and grouser splayed angle was 40.45°. The average data of verification experiments occurred when the adhesion force reached 1.11 kPa and adhesive soil mass reached 22.68 g. Compared with the average value of un-optimized experiment results, the adhesion force and adhesive soil mass reduced by 12.84% and 4.63%, respectively. The relative error of the predicted values and measured values was less than 5%, proving the reliability of the regression models. This study could provide a reference method for parameters optimization, and a new structure of the grouser shoes of tracked vehicles will be designed to reduce adhesion.
ISSN:2077-0472
2077-0472
DOI:10.3390/agriculture11080795