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A Study on the Prediction of Driving Performance of Agricultural Tractors Driving on Dry Sand
Cited 4 time in
Web of Science
Cited 5 time in Scopus
- Authors
- Issue Date
- 2022-12
- Publisher
- Springer Nature
- Citation
- Journal of Biosystems Engineering, Vol.47 No.4, pp.502-509
- Abstract
- © 2022, The Author(s), under exclusive licence to The Korean Society for Agricultural Machinery.Purpose: Agricultural tractors are used for driving and working in various fields. However, studies on predicting the driving performance of agricultural tractors on terrains other than agricultural land are insufficient. Therefore, this study was conducted to predict the driving performance of agricultural tractors on terrains other than agricultural land. Methods: The cone index of dry sand was measured using the ASABE standard, which was then used to predict the driving performance of the agricultural tractor. In addition, the performance of an agricultural tractor driving on dry sand was measured using ISO 7464 and agricultural tractors. Results: The driving performance of the agricultural tractor predicted using the ASABE standard was found to be higher than the actual driving performance, which was attributed to the difference in the strength and mechanical properties of the terrain. Therefore, the curve fitting for the coefficients known to be related to the terrain in the ASABE standard confirmed a reduction in the error rate by approximately 22.43%—from 30.73 to 8.30%. Conclusion: This study derived an empirical equation for predicting the driving performance of an agricultural tractor suitable for dry sand using the ASABE standard and the test results. These results are expected to help predict the driving performance of agricultural tractors on dry sand more accurately.
- ISSN
- 1738-1266
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