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Quantitative DEM simulation of pellet and sinter particles using rolling friction estimated from image analysis
Powder Technology ( IF 5.2 ) Pub Date : 2021-03-01 , DOI: 10.1016/j.powtec.2020.11.024
Aman Tripathi , Vimod Kumar , Arpit Agarwal , Anurag Tripathi , Saprativ Basu , Arijit Chakrabarty , Samik Nag

Abstract We characterize pellet and sinter particles used in the blast furnace in terms of DEM simulation parameters. By designing an innovative rotating tumbler setup whose length can be adjusted, we measure the dynamic angle of repose at six different rotation speeds for two different tumbler lengths. DEM simulations are performed in identical geometry by identifying the key simulation parameters which significantly affect the simulation results. Most of these parameters are directly measured using laboratory experiments. Using a novel image analysis based approach, we measure rolling friction for nearly spherical pellet particles and highly irregular shape sinter particles. Using these measured values of the rolling friction in DEM simulations, we obtain a very good agreement between experimental and simulation data without any calibration. The methodology presented here can be used for estimating rolling friction of non-spherical particles for usage in DEM simulations of bulk solids along with other DEM parameters.

中文翻译:

使用图像分析估计的滚动摩擦对球团和烧结颗粒进行定量 DEM 模拟

摘要 我们根据 DEM 模拟参数来表征高炉中使用的球团和烧结颗粒。通过设计一种长度可调节的创新旋转滚筒装置,我们测量了两种不同滚筒长度在六种不同转速下的动态休止角。通过识别对模拟结果有显着影响的关键模拟参数,在相同的几何结构中执行 DEM 模拟。大多数这些参数是使用实验室实验直接测量的。使用基于图像分析的新方法,我们测量了近乎球形的球团颗粒和高度不规则形状的烧结颗粒的滚动摩擦。在 DEM 模拟中使用这些滚动摩擦的测量值,我们在没有任何校准的情况下在实验和模拟数据之间获得了非常好的一致性。
更新日期:2021-03-01
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