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Particle Flow Characteristics and Transportation Optimization of Superfine Unclassified Backfilling

机译:超细未分类回填的颗粒流动特性及输送优化。

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In order to investigate the high volume fraction problem of the solid phase in superfine unclassified backfilling pipeline transportation, characteristic parameters were obtained by fitting to test data with an R?¢????R particle size distribution function; then, a Euler dense-phase DPM (Discrete phase model) model was established by applying solid?¢????liquid two-phase flow theory and the kinetic theory of granular flow (KTGF). The collision and friction of particles were imported by the UDF (User-define function) function, and the pipeline fluidization system, dominated by interphase drag forces, was analyzed. The best concentration and flow rate were finally obtained by comparing the results of the stress conditions, flow field characteristics, and the discrete phase distributions. It is revealed that reducing the concentration and flow rate could control pressure loss and pipe damage to a certain degree, while lower parameters show negative effects on the transportation integrity and backfilling strength. Indoor tests and field industrial tests verify the reliability of the results of the numerical simulations. Research shows that the model optimization method is versatile and practical for other, similar, complex flow field working conditions.
机译:为了研究超细未分类回填管道运输中固相的高体积分数问题,通过拟合具有R 3≤ΔφR粒度分布函数的测试数据来获得特征参数。然后,应用固相流动两相流理论和颗粒流动力学理论建立了欧拉密相DPM(离散相模型)模型。通过UDF(用户定义功能)功能导入了颗粒的碰撞和摩擦,并分析了以相间拖曳力为主导的管道流化系统。通过比较应力条件,流场特性和离散相分布的结果,最终获得最佳浓度和流速。结果表明,降低浓度和流速可以在一定程度上控制压力损失和管道损坏,而较低的参数则对运输完整性和回填强度产生负面影响。室内测试和现场工业测试验证了数值模拟结果的可靠性。研究表明,该模型优化方法在其他类似的复杂流场工作条件下具有通用性和实用性。

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