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MULTIPLE CRITERIA APPROACH TO MODEL CALIBRATION IN DEM SIMULATION OF COMPACTION PROCESSES

机译:压实过程DEM仿真中模型校正的多准则方法

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摘要

A 2-dimensional computational model based on the discrete element method (DEM) is utilized for modeling of stamp-charged coke making. In this process, a large volume of coal is compacted to one single coal cake before entering the coke oven. Cake densification and mechanical strength development are key factors for the subsequent production of a high-quality coke. An approach is introduced for model calibration utilizing multiple control parameters obtained from a laboratory-scale stamping device. Experimental data on stamper rebound amplitude, attenuation and peak force are compared with simulation output in a pairwise manner by constructing a criteria space, which allows identification of model settings best satisfying the control parameters. The calibration procedure carried out by multiple criteria comparison aided model parameter selection for reproducing stamper behavior in response to the properties of the cake subjected to compaction. This modeling and calibration procedure offers possibilities for numerically studying the densification and mechanical strength development of coal cakes. However, the approach is also more widely applicable to other compaction processes.
机译:利用基于离散元素方法(DEM)的二维计算模型对冲模焦炭制造进行建模。在此过程中,大量的煤在进入炼焦炉之前被压成一个单一的煤饼。滤饼的致密化和机械强度的提高是随后生产高质量焦炭的关键因素。引入了一种利用从实验室规模的压印设备获得的多个控制参数进行模型校准的方法。通过构建标准空间,以成对的方式将关于压模回弹幅度,衰减和峰值力的实验数据与模拟输出进行比较,从而可以确定最满足控制参数的模型设置。通过多标准比较进行的校准程序有助于模型参数的选择,以响应于压实的饼的特性来再现压模的行为。这种建模和校准程序为数值研究煤饼的致密化和机械强度发展提供了可能性。但是,该方法也更广泛地适用于其他压实过程。

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