基于逆向工程的水稻精准模型构建及试验验证

发布时间：2018-01-26 20:55

本文关键词： 水稻谷粒模型逆向工程三维激光扫描离散元　出处：《农机化研究》2017年10期 　论文类型：期刊论文

【摘要】：为了更加切实反映水稻谷粒在介质中的运动及颗粒间的碰撞情况,利用逆向工程技术建立谷粒的精准三维模型。使用三维扫描仪测得饱满籽粒和瘪谷的点云数据,在后处理软件中经过数据处理、曲面重构最终生成质量较好的谷粒三维模型,与实际谷粒误差均小于2%。为了进一步验证基于逆向工程方法所建谷粒模型的准确性,采用离散元素法,将构建的谷粒不同模型导入离散元软件中,进行堆积角的仿真模拟及试验验证。堆积角的对比仿真模拟及试验表明:颗粒模型对堆积角的形成有较大影响,所构建模型模拟得到的堆积角与实际试验结果误差更小(3%以内)。该模型可更好地反映水稻籽粒间的接触碰撞和摩擦运动,为水稻籽粒收获清选过程中的动力学仿真分析提供了一种准确性和实用性更高的模型。
[Abstract]:In order to reflect the movement of rice grains in the medium and the collision between grains more effectively. The accurate 3D model of grain was established by reverse engineering technology. The point cloud data of full grain and concave grain were measured by 3D scanner and processed in the post-processing software. In order to further verify the accuracy of the grain model based on reverse engineering, the discrete element method is used to further verify the accuracy of the surface reconstruction. The different models of grain grains were imported into discrete element software to simulate and verify the stacking angle. The comparative simulation and experiment showed that the particle model had a great influence on the formation of the stacking angle. The accumulated angle obtained by the model is less than 3% less than that of the actual test results. The model can better reflect the contact collision and friction movement between rice grains. It provides a more accurate and practical model for dynamic simulation analysis of rice grain cleaning process.
【作者单位】：安徽农业大学;农业部南京农业机械化研究所;
【基金】：“十二五”国家科技支撑计划项目(2013BAD08B00)
【分类号】：TN249;S511
【正文快照】： 0引言联合收割机田间作业时,作物需经过切割、输送、脱粒和清选4道工序。经过脱粒滚筒分离后进入清选室的物料是几何形状不规则、物理特性差别很大的多种脱出物的混合物[1-2],包括饱满籽粒、不饱满籽粒(瘪谷)、长茎秆、短茎秆及碎叶等。从占比看,谷粒(饱满谷粒)占比最大[3],因

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