CFETR水冷包层两元混合增殖球床流动特性研究

作为中国聚变工程实验堆(CFETR)候选包层之一的水冷包层(WCCB),拟采用不同尺寸的两元混合增殖球床以增加球床的填充率,从而满足氚增殖比(TBR)要求。采用离散元方法(DEM)建立了满足中子学要求的CFETR水冷包层两元球床填充结构,通过CFD计算分析获取了氦气在球床颗粒间隙之间的流动特性,包括孔隙率分布、速度分布和压降等。     

Numerical simulation of counter-current flow field in the downcomer of a liquid–solid circulating fluidized bed

A comprehensive study on the hydrodynamics in the downcomer of a liquid–solid circulating fluidized bed (LSCFB) is crucial in the control and optimization of the extraction process using an ion exchange LSCFB. A computational fluid dynamics model is proposed in this study to simulate the counter-current two-phase flow in the downcomer of the LSCFB. The model is based on the Eulerian–Eulerian approach incorporating the kinetic theory of granular flow. The predicted results agree well with our earlier experimental data. Furthermore, it is shown that the bed expansion of the particles in the downcomer is directly affected by the superficial liquid velocity in downcomer and solids circulation rate. The model also predicts the residence time of solid particles in the downcomer using a pulse technique. It is demonstrated that the increase in the superficial liquid velocity decreases the solids dispersion in the downcomer of the LSCFB.     

Estimation of particle dynamics in 2-D fluidized beds using particle tracking velocimetry

The experimental characterization of particle dynamics in fluidized beds is of great importance in fostering an understanding of solid phase motion and its effect on particle properties in granulation processes. Commonly used techniques such as particle image velocimetry rely on the cross-correlation of illumination intensity and averaging procedures. It is not possible to obtain single particle velocities with such techniques. Moreover, the estimated velocities may not accurately represent the local particle velocities in regions with high velocity gradients. Consequently, there is a need for devices and methods that are capable of acquiring individual particle velocities. This paper describes how particle tracking velocimetry can be adapted to dense particulate flows. The approach presented in this paper couples high-speed imaging with an innovative segmentation algorithm for particle detection, and employs the Voronoi method to solve the assignment problem usually encountered in densely seeded flows. Lagrangian particle tracks are obtained as primary information, and these serve as the basis for calculating sophisticated quantities such as the solid-phase flow field, granular temperature, and solid volume fraction. We show that the consistency of individual trajectories is sufficient to recognize collision events.     

A solids mixing rate correlation for small scale fluidized beds

A new first degree solids mixing rate is proposed to evaluate the mixing of solids in small scale fluidized beds. Particle mixing experiments were carried out in a 2D fluidized bed with a cross-section of 0.02 m × 0.2 m and a height of 1 m. White and black particles with average diameters of 850 and 450 μm were used in our experiments. Image processing was used to measure the concentration of the tracers at different times. The effects of four representative operating parameters (superficial gas velocity, ratio of tracer particles to bed particles, tracer particle position, and particle size) on mixing are discussed with reference to the mixing index. We found that the Lacey index depends on the concentration of the tracers. The position of the tracers affects the initial mixing rate but not the final degree of mixing. However, the new mixing rate equation does not depend on the initial configuration of the particles because this situation is considered to be the initial condition. Using the data obtained in this work and that found in literature, an empirical correlation is proposed to evaluate the mixing rate constant as a function of dimensionless numbers (Archimedes, Reynolds, and Froude) in small scale fluidized beds. This correlation allows for an estimation of the mixing rate under different operating conditions and for the detection of the end point and/or the time of mixing.     

氟添加方式对NiMo催化剂在浆态床上加氢脱硫性能的影响

以F为助剂,采用完全液相法制备了氟改性的NiMo/TiO₂-Al₂O₃浆状催化剂,考察了氟的添加方式对催化剂在浆态床上4, 6-二甲基二苯并噻吩(4, 6-DMDBT)加氢脱硫性能的影响.采用X射线衍射(XRD)谱、氢气程序升温还原(H₂-TPR)、N₂吸脱附实验(BET)、X射线光电子能谱(XPS)、高分辨率透射电镜(HRTEM)对催化剂进行了表征.结果表明,在不添加浓硝酸的情况下,在活性组分加入之前引入氟能显著提高催化剂的比表面积和孔径,促进反应过程中金属镍在催化剂表面的分散,更大程度地减弱催化剂中活性金属与载体间的相互作用,有效提高Mo的硫化度及MoS₂的堆积层数,从而生成了较多的II类Ni-Mo-S活性相,促进芳香环的加氢和C-S键的氢解,对4, 6-DMDBT有较高的加氢脱硫活性.     

玉米芯流化床快速热解制取生物油试验研究

本文在流化床上对玉米芯进行了快速热解制取生物油的试验研究.首先在非催化条件下考察了温度、气体流量、床高和物料粒径对热解产物产率的影响,得到了制取生物油的最优工况.在此工况下进行了催化热解试验,研究了FCC催化剂对热解产物产率和生物油品质的影响.结果表明,最优工况下生物油产率为56.8%.同未加催化剂相比,FCC催化剂的存在使得生物油中油组分和焦炭的产率降低,不凝结气体、水分和焦的产率增加.分级冷凝系统的应用较好的实现了重油、轻油和水的分离.对催化条件下第二级冷凝器收集的生物油分析表明,其油组分的氧含量和高位热值分别为13.64%和36.7 MJ/kg,具有很好的应用前景.     

喷动床内颗粒浓度的实验测量和理论模拟

颗粒浓度对于稠相流动体系中颗粒应力本构方程建立具有决定性的作用。本文采用双流体模型,并结合颗粒流动力学理论来描述固相应力的基础上实现了对喷动床的数值模拟,探讨了从喷射区到环隙区颗粒浓度的理沦变化趋势。同时采用自主开发的电容探针技术,不仅颗粒浓度测量值和理论值吻合较好,而且也准确地验证了颗粒非均匀夹带这一现象。电容探针还可灵敏地分辨出环隙区内不同床高处以及接近壁面处的颗粒浓度的细微变化。     

TS-1分子筛对固定床中苯酚羟基化反应的催化性能

 制备了用于固定床反应器的负载型TS－1分子筛催化剂,并以苯酚羟基化为探针反应,研究了载体、钛含量和预处理剂等对负载型TS－1分子筛催化性能的影响,考察了固定床反应器中苯酚羟基化反应的工艺条件．结果表明,酸性较强的载体会加剧H2O2的分解,导致苯酚的转化率和H2O2的有效利用率下降;在所研究的ZSM－5,TiO2,Al2O3,ZrO2,SiO2和硅藻土载体中,硅藻土具有最好的催化性能;催化剂的活性与骨架钛含量有关;用HNO3,KAc,NaAc,NH4Ac和NH4Cl处理过的催化剂,活性和选择性得到提高,而用NH3·H2O,Na2CO3和Na3PO4等碱性物质处理后,催化剂的活性则下降;溶剂、反应温度、原料空速和苯酚／H2O2摩尔比对苯酚羟基化反应有很大影响．以丙酮为溶剂,在苯酚／H2O2摩尔比为3,反应温度为84℃,WHSV为8．46h－1的反应条件下,苯酚转化率、H2O2转化率、苯二酚选择性以及H2O2的有效利用率可分别达到27．7％,94．8％,97．7％和75．1％．     

催化剂组成和反应条件对W-Fe-MgO催化分解甲烷制备单壁碳纳米管的影响

 采用“柠檬酸法”制备的W-Fe-MgO催化剂,在小型流化床反应器中分别以Ar和H2为载气在1073～1373 K下催化甲烷分解制单壁碳纳米管(SWCNTs). 实验结果表明,用H2作载气制备SWCNTs的最佳温度为1373 K,在Fe∶Mg摩尔比≤10∶100时,催化剂上的碳产率随其W载量的增加而显著增大,产物中的SWCNTs含量也保持在较高水平,最高碳产率可达55%(相对于催化剂的质量分数). 而使用Ar载气时最佳反应温度为1073 K, 用W∶Mg摩尔比为1∶100的催化剂可制得SWCNTs含量较高的产物,而W∶Mg摩尔比超过1∶100的催化剂上产物中的SWCNTs含量显著下降. 根据XRD和XPS实验结果推测了W-Fe-MgO催化剂上生长SWCNTs的活性相.     

Geldart B 类颗粒气固流化床内的压力波动特性(英文)

采用多通道压力采集系统测量了Geldart B类颗粒（树脂）矩形流化床(2.000m×0.300m×0.025m)内的压力波动,探索了流化床内的压力波动特征;同时采用标准方差、自相关和互相关函数分析了表观气速和静床高度对压力波动、压力波速度和压力波主频的影响。结果表明,气泡行为（如：气泡的形成、发展、聚并和破碎）是影响流化床内压力波动的主要因素;密相和稀相界面处的压力波动幅值主要由气泡崩塌决定;压力波在流化床内进行传播,并且具有明显的周期性特征;此外,压力波动、压力波速度和压力波主频均与表观气速和静床高度密切相关。