Modeling of share/soil interaction of a horizontally reversible plow using computational fluid dynamics |
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| Institution: | 1. Lab of Mechanical Structure & Biomechanics, School of Engineering, Anhui Agricultural University, Hefei 230036, China;2. Department of Precision Machinery & Precision Instrumentation, University of Science & Technology of China, Hefei 230027, China;1. State Key Laboratory of Advanced Electromagnetic Engineering and Technology, and College of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;2. Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031, China;3. New Star Institute of Applied Technology, Hefei 230031, China;4. School of Engineering,Anhui Agricultural University, Hefei 230036, China;1. School of Engineering, Anhui Agricultural University, Hefei, China;2. Institute of Plasma Physics, Chinese Academy of Sciences, Hefei, China;1. Department of Mechanical Engineering, University of Alaska Fairbanks, Fairbanks, AK 99775-5905, United States;2. Department of Mining and Geological Engineering, University of Alaska Fairbanks, Fairbanks, AK 99775-5800, United States;1. Service de radiologie, clinique Beausoleil, 119, avenue de Lodève, 34070 Montpellier, France;2. Service d’oto-rhino-laryngologie, clinique Beausoleil, 119, avenue de Lodève, 34070 Montpellier, France;3. Service d’oto-rhino-laryngologie, hôpital Gui-de-Chauliac, centre hospitalier universitaire de Montpellier, 80, avenue Augustin-Fliche, 34295 Montpellier, France;1. College of Engineering, Nanjing Agricultural University, Nanjing 210031, PR China;2. Department of Farm Power Machinery, Sindh Agricultural University, Tando Jam, Pakistan |
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| Abstract: | 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 2–8 ms−1 and at operational depths ranging from 0.1 to 0.3 m. 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. |
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| Keywords: | Soil-share interaction Computational fluid dynamics (CFD) Tillage speed Operational depth Horizontally reversible plow (HRP) |
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