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Predicting loads on ground engaging tillage tools using computational fluid dynamics.

机译:使用计算流体力学预测地面耕作耕作工具上的负载。

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摘要

A new method of evaluating tillage tools using computational fluid dynamics is proposed. Steady-state CFD only and transient two-way fluid-structure interaction simulations were run to predict draft and vertical forces on a spring-reset field cultivator standard. Using CFD the soil was treated as a visco-plastic fluid using the Bingham-plastic material model. Lab tests were run using a rigid flat steel bar and a production field cultivator standard with 178 and 254 mm sweeps for comparison. The results indicate that the method can be used to reasonably predict the draft force to within three standard deviations of the average measured draft. The method was successfully used to determine which sweep size created the higher draft forces. The method also was able to predict the areas on the tool with the highest pressure related to the locations that exhibit the highest wear. Soil parameters were measured using a standard technique, but modified values were needed to get good agreement between measured and calculated forces. An alternate method of measuring soil properties using a flat steel bar was therefore proposed. Further work is needed to determine if the modified soil properties were correct, requiring the new soil property measurement technique, or if the CFD method needs to be modified.
机译:提出了一种利用计算流体力学评价耕作工具的新方法。仅使用稳态CFD和瞬态双向流体-结构相互作用模拟来预测弹簧复位中耕机标准上的吃水力和垂直力。使用CFD,使用宾厄姆塑性材料模型将土壤视为粘塑性流体。为了进行比较,实验室实验使用了刚性扁钢和带有178 mm和254 mm扫宽的生产中耕机标准进行。结果表明,该方法可用于合理地预测吃水力在平均测得吃水的三个标准偏差之内。该方法已成功用于确定哪个扫掠尺寸会产生更高的拔模力。该方法还能够预测与磨损最高的位置相关的压力最高的工具区域。使用标准技术测量土壤参数,但是需要修改值以使测量力和计算力之间达到良好的一致性。因此,提出了使用扁钢测量土壤性质的另一种方法。需要做进一步的工作来确定改良后的土壤特性是否正确,是否需要新的土壤特性测量技术,或者是否需要修改CFD方法。

著录项

  • 作者

    Barker, Mark Eugene.;

  • 作者单位

    Iowa State University.;

  • 授予单位 Iowa State University.;
  • 学科 Geotechnology.;Engineering Agricultural.;Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 193 p.
  • 总页数 193
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地质学;机械、仪表工业;农业工程;
  • 关键词

  • 入库时间 2022-08-17 11:38:38

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