Wall shear stress modified by bubbles in a horizontal channel flow of silicone oil in the transition region

We performed laboratory experiments on bubbly channel flows using silicone oil, which has a low surface tension and clean interface to bubbles, as a test fluid to evaluate the wall shear stress modification for different regimes of bubble migration status. The channel Reynolds numbers of the flow ranged from 1000 to 5000, covering laminar, transition and turbulent flow regimes. The bubble deformation and swarms were classified as packing, film, foam, dispersed, and stretched states based on visualization of bubbles as a bulk void fraction changed. In the dispersed and film states, the wall shear stress reduced by 9% from that in the single-phase condition; by contrast, the wall shear stress increased in the stretched, packing, and foam states. We carried out statistical analysis of the time-series of the wall shear stress in the transition and turbulent-flow regimes. Variations of the PDF of the shear stress and the higher order moments in the statistic indicated that the injection of bubbles generated pseudo-turbulence in the transition regime and suppressed drag-inducing events in the turbulent regime. Bubble images and measurements of shear stress revealed a correlated wave with a time lag, for which we discuss associated to the bubble dynamics and effective viscosity of the bubble mixture in wall proximity.     

Statistical structure of the velocity field in cavitating flow around a 2D hydrofoil

Transformation of flow turbulence structure with cavitation occurrence, determination of the flow conditions favorable for nucleation of cavitation bubbles, influence of the statistical structure of turbulence on this process and the inverse effect of cavitation on the flow dynamics are challenging problems in modern fluid mechanics. The paper reports on the results of statistical processing of the velocity fields measured by a PIV technique in cavitating flow over a 2D symmetric hydrofoil for four flow conditions, starting from a cavitation-free regime and finishing by unsteady cloud cavitation. We analyze basic information on the statistical structure of velocity fluctuations in the form of histograms and Q-Q diagrams along with profiles of the mean velocity and turbulent kinetic energy. The research reveals that the flow turbulence pattern and distributions of turbulent fluctuations change significantly with the cavitation development. Under unsteady cloud cavitation conditions, the probability density function of the fluctuating velocity has a two-mode distribution, which indicates switching of two alternating flow conditions in a region above the hydrofoil aft part due to periodic passing of cavitation clouds. Behaviors of the mean and most probable velocities unexpectedly appear to be different with a monotonous increase of the incoming flow velocity. This finding must be caused by modification of the skewness coefficient of the fluctuating velocity.     

Prediction of resolvent mode shapes in supersonic turbulent boundary layers

This work applies resolvent analysis to compressible zero-pressure-gradient turbulent boundary layers with freestream Mach numbers between 2 and 4, focusing exclusively on large scale motions in the outer region of the boundary layer. We investigate the effects of Mach number on predicted flow structures, and in particular, look at how such effects may be attributed to changes in mean properties. By leveraging the similarity between the compressible and incompressible resolvent operators, we show that the shape of the streamwise velocity and temperature components of resolvent response modes in the compressible regime can be approximated by applying ideas from wavepacket pseudospectral theory to a simple scalar operator. This gives a means of predicting the shape of resolvent mode components for compressible flows without requiring the singular value decompositions of discretized operators. At a Mach number of 2, we find that accurate results are obtained from this approximation when using the compressible mean velocity profile. At Mach numbers of 3 and 4, the quantitative accuracy of these predictions is improved by also considering a local effective Reynolds number based on the local mean density and viscosity.     

贫燃料预混燃烧的回火特性研究

回火问题是贫燃料预混燃烧面临的主要问题之一。本文采用计算和实验相结合的方法研究甲烷与富氢合成气贫预混燃烧的回火现象,得到不同燃料、不同稳定方式之间的回火特性。研究结果表明,回火极限可以关联为丕雷数模型,环形稳定器的回火稳定性最好,其次为杆稳定器,旋流稳定器的稳定性最差;环形稳定的甲烷预混火焰的回火过程为边缘稳定,适当加入边缘空气同轴射流后变为中心回火,且同轴射流速度存在最佳范围可以提高回火稳定性。     

分级进风燃烧室内高温气固两相流动的PDA测量

本文建立了分级进风燃烧室高温气固两相流动的实验装置。利用三维激光粒子动态分析仪(PDA),测量了燃烧室内有气相燃烧的高温气固流动的两相瞬时速度场。得到了平均轴向与切向速度、轴向与切向脉动速度均方根值和轴向-切向脉动速度关联量的分布。     

煤中15种微量元素在燃烧产物中的分配

建立了燃煤中１５种向量元素在悄灰和底灰中含量分布的经验公式，该公式可以估算煤中微量元素在燃烧产物中的分配及传输通量。煤中非挥发性元素大部分存在于底灰和飞灰中，挥发性元素进入大气的量较高。     

Ce1-XMnXO2-a复合氧化物催化剂甲烷催化燃烧性能的研究

采用水热法合成了系列Ce_1-XMn_XO_2-a-T(X=0.0，0.1，0.2，0.3，0.5，0.7，0.9，1.0；T表示焙烧温度)，T=500，650，800 ℃)复合氧化物催化剂用于甲烷的催化燃烧。通过XRD、N₂吸/脱附、TG-DSC、UV-Vis-DRS和TPR表征手段研究了不同组成催化剂的物理化学性质及其对甲烷催化燃烧活性。结果表明，在500 ℃焙烧的情况下Mn进入CeO₂晶格形成均相固溶体催化剂的最大取代值为0.7，而当Mn继续增加时则出现Mn₂O₃晶相偏析，同时各催化剂具有较高的比表面积；随着焙烧温度的升高，进入CeO₂晶格的Mn最大取代值逐渐减少，650和800 ℃时分别为0.5和0.3，且比表面积相应降低。Ce_1-XMn_XO_2-a-800催化剂的还原行为大致呈现三阶段，即为Mn₂O₃ → Mn₃O₄的还原(340～420 ℃)，Mn₃O₄ → MnO的还原(420～480 ℃)和体相氧化铈的还原(700～900 ℃)，且Mn的引入整体上提高了催化剂的可还原能力。甲烷催化燃烧活性评价结果表明，比表面积并非影响催化剂活性的主要因素，影响催化剂甲烷催化活性的主要因素为催化剂的组成、可还原能力和焙烧温度；而其中以Ce_0.3Mn_0.7O_2-a-800催化剂表现出较高的甲烷催化燃烧活性，在甲烷转化率为10%和90%时的温度分别为430 和613 ℃。进一步考察Ce_0.3Mn_0.7O_2-a在不同温度(500、650、800和1 000 ℃)焙烧后的催化活性表明，随着焙烧温度的提高催化剂催化活性降低。     

显化反应条件视角 发展反应调控意识——受控的燃烧

以波义耳研究燃烧的史实为背景,创新设计燃烧条件的探究实验,并提出“条件叠加式”燃烧条件探究新思路。以“燃灭控”为主线,一以贯之地显性化“条件是认识化学反应的一种基本视角”,落实“在一定条件下通过化学反应可以实现物质转化”的化学观念。基于调控化学反应思想创新设计“燃旺弱灭”反应控制视域,统整开展“情境”“活动”与“任务”三位一体的学习活动。重置教材实验的教学价值取向,结合燃烧的形式美、汉语言文字解读,将化学学科知识与美育、汉语言文化领域跨领域融合。     

松散接触下 Au-Ce强相互作用对 Au/CeO2/3DOM Al2O3催化剂催化柴油炭烟燃烧活性的影响

与汽油发动机相比,柴油发动机具有热效率高、CO2排放低、寿命长、续航距离远和经济性好等优点,可大大缓解能源短缺,降低 CO2排放量.因此,机动车柴油化是当前发展趋势.然而,柴油发动机在使用过程中会排放大量炭烟颗粒物,对人体危害极大.因此,控制炭烟颗粒排放成为环境催化研究的重点之一.
　　炭烟颗粒物催化燃烧反应是典型的固(炭烟颗粒)-固(催化剂)-气(O2)多相催化反应.三维有序大孔氧化物(3DOM)具有大孔径和内部贯通的孔道结构,能有效提高炭烟颗粒与催化活性中心的接触性能.同时,纳米 Au颗粒在大孔氧化物表面的负载可有效提高催化剂本征活性,但纳米 Au颗粒催化剂热稳定性较差. CeO2具有较好的储放氧性能,可与贵金属活性组分发生相互作用,从而提高贵金属纳米颗粒的分散度和稳定性.因此,本文从柴油炭烟颗粒物催化燃烧反应本质出发,设计制备了高炭烟燃烧催化活性的3DOM氧化物担载 Au基催化剂,研究了 Au与 CeO2强相互作用对炭烟燃烧活性的影响.
　　采用胶体晶体模板法制备3DOM Al2O3载体,由微孔膜氨沉淀法制备 CeO2/3DOM Al2O3催化剂,以还原-沉积法制备 Au/3DOM Al2O3和 Au/CeO2/3DOM Al2O3催化剂,并利用扫描电镜、N2物理吸附-脱附、X射线衍射、透射电镜、紫外漫反射光谱、H2程序升温还原和 X射线光电子能谱等手段对催化剂形貌、比表面积、物理化学性质和氧化还原性进行了表征.结果表明,在 CeO2/3DOM Al2O3中, Al3+可进入到氧化铈晶格内,形成 Al-Ce-O固溶体,产生氧空位,这有利于氧物种转移.此外, Au/CeO2/3DOM Al2O3催化剂中 Au和 CeO2之间的强相互作用能增加 Au纳米颗粒表面活性氧物种数量,从而促进柴油炭烟燃烧反应.纳米颗粒 Au的担载使得催化柴油炭烟燃烧的起燃温度明显降低,其中 Au/CeO2/3DOM Al2O3催化剂表现出最高的催化活性,T10,T50和T90分别为273,364和412oC.     

超低浓度甲烷在Cu/γ-Al2O3催化颗粒流化床中的燃烧特性

采用流化床燃烧技术,使用自制Cu/γ-Al₂O₃颗粒作为催化剂床料,实验研究了超低浓度甲烷在流化床中催化燃烧时床层温度(450~700℃)、流化风速比ω(1.5~4)、进气甲烷体积分数(0.3%~2%)等对甲烷燃烧效率的影响。结果表明,床层温度是影响甲烷催化燃烧反应的关键因素,甲烷的转化率随着床层温度的升高而增加;床层温度达到650℃时,甲烷含量低于1%的超低浓度甲烷其转化率超过95%,继续提高床层温度至700℃且控制流化风速比ω≤2可以实现甲烷的完全转化;甲烷转化率随着流化风速和进气甲烷浓度的增加而降低,当ω>3.5时,温度对甲烷转化的影响减弱,未燃烧的甲烷含量增大。动力学实验发现,床层温度较低时,催化反应受动力学控制,测得催化反应的活化能E_a为1.26×10⁵J/mol,反应级数m为0.73,当温度t>450℃时,扩散作用影响显著,反应级数增大。