旋流塔板的板效率模型

引　言板式塔的操作通常可分为气体为分散相的鼓泡、泡沫工况和液体为分散相的喷射工况 .喷射态操作的塔板 ,虽然其效率一般较低 ,但具有通量大、压降低等重要优点 ,符合现代大工业发展趋势的要求 ,正受到越来越多的重视[1～ 3] .有关鼓泡、泡沫工况下的流体力学和传质过程的研     

MODEL FOR PREDICTION OF ROTATING STREAM TRAY EFFICIENCY

Based on the results of the gas flow field, the droplet size distribution and the droplet initial flow rate distribution on a Φ300 mm rotating stream tray (RST), a three-dimensional droplet projection trajectory model, and a mass transfer model have been developed. The calculation of the models was carried out by a finite-difference procedure. The predicted results of the tray efficiency agree quite well with the experimental data measured with absorbing NH₃ or SO₂ in water on a Φ300 mm RST column and with the industrial data from a Φ3600 mm RST column. Meanwhile, the influence of absorbing system and the RST structure on the tray efficiency is discussed.     

非对称型外凸式波节管内的传热和流动特性

针对一种新型的非对称外凸式波节管(ACT)换热元件,基于三维RST模型对其进行了数值模拟研究。通过与传统的对称型外凸式波节管(SCT)分析比较,考察了两者流动及传热特性的区别。为了验证雷诺应力模型(RST)在研究波节管结构时的可靠性,比较了现有波纹壁面中直接数值模拟(DNS)与RST模型在同一条件下的计算结果。通过对比发现,RST模型得出的包括速度场、压力系数等计算结果与DNS所得出的结果基本吻合。随后对外凸型的流动及传热机理进行了深入探讨。结果表明,与传统的SCT相比,ACT提高综合传热性能最多能够提高32.3%。     

旋流塔板上的两相流场

在直径300mm塔内,用激光多普勒测速仪对旋流塔板上的流场进行了实验研究,探明其主要特征,进一步证实了过去对不同用途板型的设计思想.采用两方程k-ε湍流模型,应用有限差分法,对塔板上的气流场进行了数值模拟,计算结果与实验值符合良好.     

旋流塔板传质模型研究

根据旋流塔板上的气液运动规律，建立气相二维定数混合池传质模型，并用ＣＯ_２－ａｉｒ／Ｈ_２Ｏ物系的传质试验结果进行验证，结果表明，模型计算值和实验值相当吻合。     

单液滴蒸发研究的现状与展望

本文简要评析了单液滴的蒸发机理、蒸发模型及影响蒸发的主要因素,系统介绍了单液滴蒸发的实验研究方法及其特点,分析讨论单个毫米级球形大液滴及微米级球形小液滴的蒸发动力学理论规律,并对液滴蒸发特性研究的未来发展趋势进行了展望。     

旋流塔板上液滴的运动模型

以液滴离开塔板的初始位置为边缘分布、液滴粒径为条件分布，用概率统计的方法来描述旋流塔板上液滴群运动的边界条件，进而提出其三维模型。该模型不含可调参数，采用四阶Ｒｕｎｇｅ－Ｋｕｔｔａ法计算，结果得到实验的支持。     

湿工况下泡沫金属内换热和压降的数值模拟和实验验证

泡沫金属应用到换热器空气侧有望提高析湿工况下的换热性能。为了了解湿空气在泡沫金属内的热质传递和压降特性,建立了泡沫金属内液滴形成、生长和运动特性的数值模型。基于液滴成核数目和成核临界半径得出液滴形成过程的传质率模型;通过建立液滴与湿空气相界面附近湿空气中水蒸气的组分守恒方程,得出液滴生长过程的传质率模型;通过对不同孔棱柱表面液滴的受力分析,建立在重力和风力的共同作用下的液滴接触角模型。将液滴形成及生长的传质率模型和接触角模型分别作为质量源项和表面张力源项,加入连续性方程、动量方程和能量方程组中,实现对泡沫金属内液滴生长、形成和运动过程模拟。模型的实验验证结果表明,换热量预测值与实验结果的最大偏差为11.9%,压降预测值与实验结果的最大偏差为17.7%。     

压力旋流喷嘴雾化滴径分布的模型预测和实验

利用激光片光荧光诱导技术（PLIF）测得不同液体流量下的压力旋流喷嘴雾化滴径分布,用平均粒径约束的三参数最大熵模型对雾化滴径分布进行预测。将理论预测分布与实验结果进行拟合,得到广义伽玛参数α随着液体流量变化的一般表达式。用拟合模型对粒径分布的特点和规律进行总结,结果表明：拟合模型能很好地预测粒径的数量分布,且不受小液滴的影响;随着液体流量的增加,液滴粒径分布范围逐渐变窄,峰值液滴粒径呈线性减小趋势,峰值液滴百分数呈线性增加趋势。     

重力场中水平纤维悬垂液滴形状的模型研究

通过搭建可视化试验台观测了重力场中水平金属纤维表面的液滴形状，并测量了液滴形状参数，包括液滴直径、高度、接触角、接触线宽度和接触线高度。通过拟合参数关联式，求解了液滴固-液界面子模型和气-液界面子模型的描述方程，开发了一种椭球形的纤维液滴形状模型。液滴模型的轮廓预测结果和观测试验得到的液滴图像吻合度较好，可以在±10％的误差范围内描述98%的试验结果，平均偏差为4.6％。     

Droplets generation under different flow rates in T-junction microchannel with a neck

The 2D top view of the droplet formation in microfluidic T-junction devices with a neck is recorded to estimate the droplet volume under different flow conditions. The channel with a neck at the T-junction, to provide a narrow structure, is proposed but has not been analyzed as the normal T-junction. The droplet generation process is separated into two stages, including the filling stage and the squeezing stage, to develop a droplet size predictive model based on the continuity of both liquids. In a wide range of flow conditions for multiphase microfluidics, this study validates and physically explains the model by analyzing the generation of droplets and coefficients of the model. Results of this study can help to design droplet microfluidic devices, where it is requisite to know the relation between flow conditions and the droplet size.     

Experimental investigation of dynamic mass transfer during droplet formation using micro-LIF in a coaxial microchannel

The mass transfer of Rhodamine 6G from the droplet to the continuous phase in a coaxial micro-channel is studied using micro-LIF (Laser-Induced Fluorescence). The mass distribution inside droplet is measured and visualized. The experimental results affirm that there exists the internal circulation inside the droplet and it could enhance the convective mass transfer. The stagnant center of vortices is also observed. The extraction fraction could reach 40%-80%. In order to establish the mass transfer model, different flow rates of the dispersed and continuous phase are adopted. The high continuous phase flow rate and low dispersed phase flow rate are both beneficial to enhance mass transfer by expediting the internal circulation. A modified mass transfer model is found to calculate the extraction fraction. A good agreement between the model and experiment in various conditions demonstrates that the mass transfer model in this work is reliable and feasible.     

Modeling Particle Formation at Spray Drying Using Population Balances

There have been several efforts to simulate the physical processes in a single droplet during spray drying in the last several years, but most of the models do not describe the solid formation in detail. In this work, the development of the microscopic solid structure in a droplet during spray drying is simulated. A radial-symmetric model of the droplet is used to simulate the mass and heat transport. The solid formation at every radial discretization point is obtained by the solution of population balances. This way, the distribution of the particle number density in the droplet depending on the macroscopic process parameters can be predicted. The model equations are solved in a normalized coordinate system to be able to describe the shrinkage of the droplet. The suitability of these population balances will also be discussed. For the validation, monodisperse single droplets consisting of a solution or suspension are dried with constant boundary conditions.     

Generalised insights in droplet formation at T-junctions through statistical analysis

Though much experimental work has been done on droplet formation in microfluidic T-junctions, the field is fragmented due to differences in channel dimensions, flow rates, and materials used. The same is true for models, which describe a limited range of the droplet formation spectrum, due to obvious boundary conditions. In this paper, we tried to unify the available data into a more general model using statistical analysis. This approach was chosen because of its accessibility and ease of use for unbiased analysis of available data. We found that data from various literature sources, and therefore different regimes, were described with a two-step model, which distinguishes between a droplet growth and a droplet detachment phase. The two-step model was found statistically valid over the whole range of observed droplet shapes (viz plugs, discs, or drops) and encompassed all systems and sources. Channel dimensions were found to determine droplet growth, while both continuous and disperse phase flow rate govern the subsequent time needed for detachment. By using a statistical approach, we were able to generalise data available on T-junctions into general rules of behaviour.     

Measurements and modelling of free-surface turbulent flows induced by a magnetic stirrer in an unbaffled stirred tank reactor

Measurements and numerical simulations of turbulent flows with free-surface vortex in an unbaffled reactor agitated by a cylindrical magnetic stirrer are presented. Measurements of the three mean and fluctuating components of the velocity vector are made using a laser Doppler velocimetry in order to characterise the flow field at different speeds of the stirrer. A homogeneous Eulerian-Eulerian multiphase flow model coupled with a volume-of-fluid method for interface capturing is applied to determine the vortex shape and to compute the turbulent flow field in the reactor. Turbulence is modelled using a second-moment differential Reynolds-stress transport (RST) model, but for some cases the k-ε/k-ω based shear-stress transport (SST) model is also used. The predictions obtained using the ANSYS CFX-5.7 computational fluid dynamics code are compared with the images of the vortex and the measured distributions of mean axial, radial and tangential velocities and turbulent kinetic energy. The predicted general shape of the liquid free-surface is in good agreement with measurements, but the vortex depth is underpredicted. The overall agreement between the measured and the predicted axial and tangential velocities obtained with the RST model is good. However, the radial velocity is significantly underpredicted. Predictions of the turbulent kinetic energy yield reasonably good agreement with measurements in the bulk flow region, but discrepancy exists near the reactor wall where this quantity is underpredicted. The SST model predictions are generally of the same quality as those of the RST model, with the latter model providing better predictions of the tangential velocity distribution.     

Modeling Particle Formation at Spray Drying Using Population Balances

There have been several efforts to simulate the physical processes in a single droplet during spray drying in the last several years, but most of the models do not describe the solid formation in detail. In this work, the development of the microscopic solid structure in a droplet during spray drying is simulated. A radial-symmetric model of the droplet is used to simulate the mass and heat transport. The solid formation at every radial discretization point is obtained by the solution of population balances. This way, the distribution of the particle number density in the droplet depending on the macroscopic process parameters can be predicted. The model equations are solved in a normalized coordinate system to be able to describe the shrinkage of the droplet. The suitability of these population balances will also be discussed. For the validation, monodisperse single droplets consisting of a solution or suspension are dried with constant boundary conditions.     

熔渣颗粒空冷相变换热的三维数值模拟

利用VOF方法结合凝固和熔化模型对熔渣颗粒在空气流中的冷却相变过程进行了三维数值模拟,讨论了熔渣颗粒直径和空气速度对冷却凝固过程演变的影响。结果表明：空冷方法能够实现熔渣颗粒表面的快速凝固成型,但同时也造成了颗粒内部的非均匀凝固。熔渣直径越小,完全凝固时间越短;空气流速越大时, 其表面换热越强, 完全冷却时间越短。颗粒初温为1673.15 K、直径为0.5~2 mm,风速为1~5 m·s^-1条件下熔渣颗粒在2 s内释放出全部凝固热,后续空气最高温度能达到900 K以上。     

Challenges of Simulating Droplet Coalescence within a Spray

Abstract

This article reports various challenges that have been encountered in the process of developing validated Lagrangian and Eulerian models for simulating particle agglomeration within a spray dryer. These have included the challenges of accurately measuring droplet coalescence rates within a spray, and modeling properly the gas–droplet and droplet-droplet turbulence interactions. We have demonstrated the relative versatility and ease of implementation of the Lagrangian model compared with the Eulerian model, and the accuracy of both models for predicting turbulent dispersion of droplets and the turbulent flow-field within a simple jet system. The Lagrangian and Eulerian droplet coalescence predictions are consistent with each other, which implies that the numerical aspects of each simulation are handled properly, suggesting that either approach can be used with confidence for future spray modeling. However, it is clear that considerable research must be done in the area of particle turbulence modeling and accurate measurement of particle agglomeration rates before any Computational Fluid Dynamics tool can be employed to accurately predict particle agglomeration within a spray dryer.     

A one-dimensional plug-flow model of a counter-current spray drying tower

A one-dimensional numerical model for a detergent slurry drying process in a counter-current spray drying tower is developed for the prediction of the gas and droplet/particle temperature profiles within the tower. The model accommodates droplets/particles over a range of sizes. A semi-empirical slurry droplet drying model is integrated with a counter-current tower simulation based on mass, energy and particulate phase momentum balances in order to calculate the drying rate and the particle residence time within the tower. The coupled first order ordinary differential equations for the two phases are solved numerically using the iterative shooting method in an algorithm developed within MATLAB. The predictions of the numerical model are compared with industrial pilot plant data. The results are found to vary significantly with the specified size distribution of the droplets. Despite the simplicity of the model in ignoring the coalescence, agglomeration, wall deposition and re-entrainment, the model gives reasonable agreement with the experimental data.