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Modeling of share/soil interaction of a horizontally reversible plow using computational fluid dynamics

•3D computational fluid dynamic modeling of the real plowshare was proposed.•The pressure distributions on the plowshare were numerically investigated under various operating conditions.•The numerical results qualitatively agree with the measurements.•CFD-based analysis is demonstrated to be feasibl...

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Bibliographic Details
Published in:Journal of terramechanics 2017-08, Vol.72, p.1-8
Main Authors: Zhu, Lin, Ge, Jia-Ru, Cheng, Xi, Peng, Shuang-Shuang, Qi, Yin-Yin, Zhang, Shi-Wu, Zhu, De-Quan
Format: Article
Language:English
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Summary:•3D computational fluid dynamic modeling of the real plowshare was proposed.•The pressure distributions on the plowshare were numerically investigated under various operating conditions.•The numerical results qualitatively agree with the measurements.•CFD-based analysis is demonstrated to be feasible and effective for the in-depth study of soil-HRP interaction. The horizontally reversible plow (HRP) is currently widely used instead of the regular mold-board plow due to its high operational performance. Soil pressure during HRP tillage generally has adverse effects on the plow surface, especially on either the plowshare or the plow-breast. This effect eventually shortens the tool’s service life. For this reason, this investigation used a three-dimensional (3D) computational fluid dynamics (CFD) approach to characterize the share/soil interaction and thus assess the effects of different tillage conditions on the interaction. To achieve this goal, a 3D model of the plowshare was first constructed in the commercial software SolidWorks, and soil from Xinjiang, China, was selected and subsequently characterized as a Bingham material based on rheological behaviors. Finally, 3D CFD predictions were performed using the control volume method in the commercial ANSYS code Fluent 14.0 in which the pressure distributions and patterns over the share surface were addressed under different tillage speeds in the range of 2–8ms−1 and at operational depths ranging from 0.1 to 0.3m. The results show that the maximum pressure appeared at the share-point zone of the plowshare and that the increase in soil pressure was accompanied by either higher tool speed or greater operational depth. The calculated results qualitatively agreed with the preliminary experimental evidence at the same settings according to scanning electron microscopy (SEM). Once again, the CFD-based dynamic analysis in this study is demonstrated to offer great potential for the in-depth study of soil-tool interactions by simulating realistic soil matter.
ISSN:0022-4898
1879-1204
DOI:10.1016/j.jterra.2017.02.004