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

Jun Fu, Jian Li, Xinlong Tang, Ruixue Wang and Zhi Chen
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Jun Fu: Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130025, China
Jian Li: Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130025, China
Xinlong Tang: Agricultural Experimental Base, Jilin University, Changchun 130062, China
Ruixue Wang: Chinese Academy of Agricultural Mechanization Sciences, Beijing 100083, China
Zhi Chen: Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun 130025, China

Agriculture, 2021, vol. 11, issue 8, 1-13

Abstract: 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.

Keywords: soil adhesion; grouser shoe; structure parameters; optimization; black soil; RSM (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2021
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