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首页> 外文期刊>The Canadian Journal of Chemical Engineering >Experimental methods in chemical engineering: Residence time distribution-RTD
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Experimental methods in chemical engineering: Residence time distribution-RTD

机译:化学工程实验方法:停留时间分布-RTD

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摘要

Reactor performance, solids-(gas)-mixing, flow through porous media, distillation columns, or through granulators improve as the fluid dynamics approach ideal plug flow. The residence time distribution (RTD) is a diagnostic measure of how close fluid flow approaches ideal conditions. The technique introduces a step change to the inlet concentration-a Dirac-delta function, Heaviside step function, or a rectangular pulse (bolus)-while high frequency detectors monitor the concentration along the vessel and/or at the exit. The effluent concentration profile spreads due to the variance in the process lines leading to the vessel and at the exit, the detector response, and the system. We quantify how much each of these contributes to the overall variance in a fluidized bed with 9 g of fluid cracking catalyst in 8 mm diameter quartz tubes. The injection variance is lowest for a GC sample loop configuration, compared to a 3-way valve or 4-way valve geometry. RTD measurements detect bypassing due to dead zones in vessels and the axial-dispersion model and continuous stirred-tank model to characterize deviation from plug flow. However, when the contribution to variance from the ancillary lines and detector is large compared to the system, the uncertainty in the model parameters is high. Research on RTD fundamentals concentrate on boundary conditions while, here, we focus on experimental errors: mechanical, physicochemical mathematical, and instrumental.
机译:随着流体动力学接近理想的插头流动,反应器性能,固体 - (气体) - 固定,通过多孔介质,蒸馏塔或通过造粒机的流动。停留时间分布(RTD)是一种诊断措施,对流体流动接近理想条件的诊断措施。该技术介绍了进气浓度-ATAC-Δ函数,重度阶跃函数或矩形脉冲(推注)的步骤改变 - 当高频检测器时,高频探测器沿着容器和/或出口处监测浓度。由于导致血管和出口处的过程管线和探测器响应和系统的过程管线中的方差,流出物浓度曲线扩散。我们量化这些中的每一个有助于用9g流体裂化催化剂在8mm直径的石英管中有助于流化床的整体方差。与三通阀或4路阀几何形状相比,注入方差对于GC采样环形配置最低。 RTD测量由于血管中的死区和轴分散模型和连续搅拌罐模型而被绕过绕过绕过偏离塞流的偏差。然而,当与系统相比,与辅助线路和检测器的方差的贡献大时,模型参数中的不确定性很高。 RTD基本面集中在边界条件的研究,同时,在这里,我们专注于实验错误:机械,物理化学数学和仪器。

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