Prediction of vortex height from mechanical mixing in metal matrix nanocomposite processing by means of dimensional analysis and scaling

Mechanical mixing can be used for initial dispersion and distribution of nanoparticle agglomerates in metal matrix nanocomposite (MMNC) fabrication. As vortex height increases, flow is enhanced as well as the risk of oxidate melt contamination. The goal of this study was to examine and predict vortex height using dimensional analysis while varying fluid and the angular speed of a pitched square-blade impeller. An equation proposed by Markopoulos et al. was verified for the present experimental conditions. The relevant dimensionless numbers were the Reynolds (Re), Froude (Fr) and Galilei (Ga) numbers. A modified Fr was defined (Fr*) including the shaft and blade angles of the impeller. Experiments allowed calculation of the dimensionless numbers. Two fluids, water and 50 vol% aqueous glycerine, were used. Angular clockwise speed varied from 200 to 900 rpm in 100 rpm increments. Vortex height was measured in lateral view digital images. Correlations of the dimensionless numbers yielded, first, a linear relationship of the product of dimensionless vortex height (H) and specific gravity (ρ*) with respect to Fr*. A polynomial relationship was found between H and ReFr* for each fluid. The polynomial coefficients, in turn, follow a power law behavior with respect to Ga. This allows a prediction of vortex height in other Newtonian fluids that satisfy the single-phase isothermal flow condition. Perhaps, molten aluminum used in MMNC fabrication, can be analyzed based on a simple, room temperature, low cost transparent fluid system. For the experimental conditions in this study, the equation proposed by Markopoulos et al. was valid. The predicting methodology was verified with experimental results using 25 vol% aqueous glycerine, resulting in an absolute percent error of 5.29%, comparable and lower than an error of 9.12% obtained by predicting vortex height with Markopoulos’ equation.     

利用SPAMS研究华北乡村站点(曲周)夏季大气单颗粒物老化与混合状态

利用单颗粒气溶胶飞行时间质谱(SPAMS)于2013年6月30日~7月8日对华北地区乡村站点曲周大气单颗粒粒径及其化学组成进行了在线测量,共采集到同时含有正负离子谱图的颗粒230 152个,其粒径主要集中在0.2~2.0μm.结果表明,该地区的大气颗粒物主要分为8类:元素碳(EC,55.5%)、有机碳(OC,10.7%)、钠,钾等碱金属颗粒(alkalis,17.4%)、其他金属颗粒(other metals,1.7%)、富铁颗粒(Fe-rich,6.3%)、富铅颗粒物(Pb-rich,3.1%)、沙尘颗粒(dust,4.8%),other颗粒(0.8%),观测得到的8类气溶胶颗粒中绝大部分包含46NO-2、62NO-3、80SO-3、96SO-4、97HSO-4等二次组分离子,说明这些颗粒都经历了不同的老化过程或与二次组分进行了不同程度的混合.从气溶胶类型的谱分布看,各类型颗粒数浓度峰值基本出现在700~800 nm之间,dust、Fe颗粒主要集中在粗粒径段,EC颗粒子类研究表明随着表面不断吸附NH+4、NO-3、SO2-4等二次组分,EC颗粒逐步演化成老化程度较低的NO-3吸附型EC(ECN)和严重老化的SO2-4吸附型EC(ECS)混合态,两者日变化呈现明显的负相关性,也可能随着二次有机物在EC表面吸附,形成OC/EC混合态.     

拱形抗滑桩墙支护结构体系模型试验相似材料研制

根据模型试验相似比尺和桩土间应力协调要求,用机制砂、河砂、水泥、石粉等配置了40组(每组6个)低强度、低弹性模量的圆柱形微混凝土相似材料试件.测试结果表明:微混凝土具有和原型混凝土大致相同的应力应变阶段和破坏模式,可以模拟原型结构的力学行为和变形、破坏特征.砂率和石粉取代率不同时,微混凝土试件的轴压强度和弹性模量在较大...     

离心场环境下液压振动台试验设备的研制

本文主要介绍了离心机液压振动台系统的设计思想、构成和工作原理以及主要技术指标、特点和意义.     

利用人工湿地系统深度处理城市污水尾水

利用垂直复合流模拟人工湿地系统对城市污水厂尾水进行深度处理实验研究,植物床选用美人蕉、菖蒲、茭草、芋头和象草混合栽种,采用石英砂为主体填料。实验研究表明:人工湿地系统在停留时间为24h,水力负荷为0.4m3(m2·d)的运行条件处理效果较佳,在此条件下连续稳定运行10个月,处理后的尾水主要指标达到(GBT189212002)标准。     

土柱淋洗法修复铬污染土壤的水力梯度优化试验

针对重金属污染土壤的修复,淋洗法是一种比较成熟的方式,但目前研究主要聚焦于淋洗剂的选择,而关于水力停留时间对淋洗效果影响的研究相对较少.水力梯度是影响水力停留时间的重要因素,优化水力梯度能够缩短修复周期,降低淋洗成本,有效提高淋洗效率,为现场淋洗修复工程应用提供参考.本文针对人工制备的不同质地的铬污染土壤进行了土柱淋洗...     

回灌运行参数对新鲜垃圾渗滤液的影响研究

采用模拟试验装置考察回灌频率与回灌水力负荷对新鲜垃圾柱渗滤液的影响,试验结果表明:高频率回灌将导致新鲜垃圾柱渗滤液初期酸化阶段的低pH值和甲烷化阶段的高pH值。高水力负荷将导致新鲜垃圾柱渗滤液pH值下降。因此在新鲜垃圾填埋单元自身回灌初期应采取低频率小水力负荷。     

海洋四水团混合的定量化分析和方法比较及其在东海西南海区的应用

通过构造理想的四水团混合模型,对传统温-盐二指标图解和三指标钜阵求解分析水团混合的方法进行比较,认为三指标估算结果更接近真实值.但温、盐数据因为易得且准确性好,所以传统方法仍具有一定的实用价值.在东海西南海区的应用中,检验了天然放射性226Ra核素作为第三个指标的可行性,并对实际水团混合情况进行了评估.证实黑潮次表层水在夏季顺陆坡边缘爬升后沿底部向岸运移,并在近岸涌升,是东海陆架区营养盐外源补充的一个重要动力.     

基于震后低压变化的供水管网功能可靠度分析

供水管网的抗震功能是指供水管网在地震作用下能够满足震后城市特定用水需要(需水量和水压)的能力。地震发生后,供水管网一般处于低压供水状态,使得管网中部分用户的水压和水量不能得到全部满足,导致管网部分节点的实际配水量小于需水量。为此,在传统的管网水力分析基础上考虑节点流量随节点水压的动态变化,通过求解非线性水力方程组,得到管网节点实际流量和水压;同时,借鉴结构可靠度分析方法,引入供水管网系统随机水力模型,给出了震后供水管网功能可靠度分析的一次二阶矩方法。以一实际管网为例,演示了震后低压供水时管网功能可靠度分析的应用方法。     

Monte Carlo analysis of field water flow comparing uni- and bimodal effective hydraulic parameters for structured soil

Soil structure critically affects the hydrological behaviour of soils. In this paper, we examined the impact of areal heterogeneity of hydraulic properties of a structured soil on soil ensemble behaviour for various soil water flow processes with different top boundary conditions (redistribution and drainage plus evaporation and infiltration). Using a numerical solution of the Richards' equation in a stochastic framework, the ensemble characteristics and flow dynamics were studied for drying and wetting processes observed during a time interval of ten days when a series of relatively intense rainfall events occurred. The effects of using unimodal and bimodal interpretative models of hydraulic properties on the ensemble hydrological behaviour of the soil were illustrated by comparing predictions to mean water contents measured over time in several sites at field scale. Although the differences between unimodal and bimodal fitting are not significant in terms of goodness of fit, the differences in process predictions are considerable with the bimodal soil simulating water content measurements much better than unimodal soil. We also investigated the relative contribution of the soil variability of each parameter on the variance of the water contents obtained as the main output of the stochastic simulations. The variability of the structural parameter, weighting the two pore space fractions in the bimodal interpretative model, has the largest contribution to water content variance. The contribution of each parameter depends only partly on the coefficient of variation, much more on the sensitivity of the model to the parameters and on the flow process being observed. We observed that the contribution of the retention parameters to uncertainty increases during drainage processes; the opposite occurs with the hydraulic conductivity parameters.