柔性草平行接触模型的定量评估和优化:使用离散元素方法进行最终选和中央复合材料设计方法
Abhishek Patel1, Krishna Pratap Singh2, Ajay Kumar Roul3
1ICAR- Central Institute of Agricultural Engineering, Bhopal, India.
Scientific reports
|January 23, 2024
概括
这项研究开发了一种离散元素模型 (DEM) 来模拟麦草曲行为. 确定的选设计确定了关键参数,优化了模型以准确模拟草的机械性能.
科学领域:
- 农业工程 农业工程
- 计算力学 计算力学 计算力学
- 材料科学 是一种材料科学.
背景情况:
- 准确模拟农业残留物的行为对于收获后加工至关重要.
- 离散元素方法 (DEM) 提供了一个强大的工具,用于建模粒状材料,如麦.
- 了解水分含量对草机械性能的影响对于处理和利用至关重要.
研究的目的:
- 开发和验证一个离散元素模型 (DEM) 来模拟在各种水分含量下草的曲行为.
- 采用最终选设计 (DSD) 进行有效的参数化和识别重要的DEM参数.
- 使用中央复合设计 (CCD) 来优化关键的DEM参数,以提高模拟准确性.
主要方法:
- 在DEM.中使用Hertz-Mindlin与平行接触粘合模型创建了一个灵活的麦样模型.
- 使用最终选设计 (DSD) 来选和识别影响曲力的DEM参数.
- 三点曲试验用于参数化,剪切板试验用于模型验证.
- 应用中央复合设计 (CCD) 来优化最重要的DEM参数.
主要成果:
- 确定的选设计 (DSD) 显示,粘合盘尺度,正常硬度和剪切硬度显著影响曲力.
- 发现静态摩擦系数 (草钢) 对曲力影响最小.
- 使用负载速率 (0.42,0.5,0.58 mm s−1) 的模型校准显示,不同水分含量 (M1: 35±3.4%,M2: 24±2.2%,M3: 17±2.6%) 的模拟和实际切削力之间存在良好的一致性.
- 经过验证的DEM模型实现了测试湿度水平的平均相对误差为5.43%,7.63%和8.86%.
结论:
- 开发的DEM模型准确地模拟了在一系列水分含量中米的曲行为.
- 该研究成功地证明了DSD和CCD的实用性,用于对农业材料的DEM模型进行有效的参数化和优化.
- 经过验证的模型提供了一个可靠的工具来预测麦的机械反应,有助于设计收获后的机械和工艺.
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