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STOCHASTIC MODELING OF FLUID BED AGGLOMERATION:DETERMINATION OF PARTICLE MOISTURE CONTENT

机译:床层凝结的随机建模:颗粒水分含量的测定

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The presented study describes the theoretical modeling of particle formation by agglomeration in fluidized beds.The model is mathematically solved by applying a stochastic Monte Carlo method.It takes into account the complete droplet history (pre-drying during flight,spreading,solidification and penetration after deposition on a particle) so that thermal effects such as the increase of fluidization gas mass flow or gas temperature have a physically-based impact on process kinetics.Contradictions between measured and simulated particle moisture contents were found.Thus,we will present a modified drying model and compare results with experimental data.
机译:提出的研究描述了流化床中团聚形成颗粒的理论模型,该模型通过应用随机蒙特卡洛方法进行数学求解,并考虑了完整的液滴历史(飞行过程中的预干燥,铺展,凝固和渗透后的渗透)。沉积在颗粒上),从而使热效应(例如流化气体质量流量的增加或气体温度的升高)对过程动力学产生物理影响。发现了实测和模拟的颗粒含水量之间的矛盾,因此,我们将提出一种改进的干燥方法对结果进行建模并与实验数据进行比较。

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