Flow and heat transfer behaviour of nanofluids in microchannels

Flow and heat transfer of aqueous based silica and alumina nanofluids in microchannels were experimentally investigated. The measured friction factors were higher than conventional model predictions at low Reynolds numbers particularly with high nanoparticle concentrations. A decrease in the friction factor was observed with increasing Reynolds number, possibly due to the augmentation of nanoparticle aggregate shape arising from fluid shear and alteration of local nanoparticle concentration and nanofluid viscosity. Augmentation of the silica nanoparticle morphology by fluid shear may also have affected the friction factor due to possible formation of a core/shell structure of the particles. Measured thermal conductivities of the silica nanofluids were in approximate agreement with the Maxwell-Crosser model, whereas the alumina nanofluids only showed slight enhancements. Enhanced convective heat transfer was observed for both nanofluids, relative to their base fluids (water), at low particle concentrations. Heat transfer enhancement increased with increasing Reynolds number and microchannel hydraulic diameter. However, the majority of experiments showed a larger increase in pumping power requirements relative to heat transfer enhancements, which may hinder the industrial uptake of the nanofluids, particularly in confined environments, such as Micro Electro-Mechanical Systems (MEMS).     

Dendrite growth and micromechanical properties of rapidly solidified ternary Ni-Fe-Ti alloy

The rapid solidification of undercooled liquid Ni_(45)Fe_(40)Ti_(15)alloy was realized by glass fluxing technique.The microstructure of this alloy consists of primaryγ-(Fe,Ni)phase and a small amount of interdendritic pseudobinary eutectic.The primaryγ-(Fe,Ni)phase transferred from coarse dendrite to fragmented dendrite and the lamellar eutectic became fractured with the increase of undercooling.The growth velocity ofγ-(Fe,Ni)dendrite increased following a power relation with the rise of undercooling.The addition of solute Ti suppressed the rapid growth ofγ-(Fe,Ni)dendrite,as compared with the calculation results of Fe-Ni alloy based on LKT model.The microhardness values of the alloy and the primaryγ-(Fe,Ni)phase increased by 1.5 times owing to the microstructural refinement caused by the rapid dendrite growth.The difference was enlarged as undercooling increases,resulting from the enhanced hardening effects on the alloy from the increased grain boundaries and the second phase.     

客家方言的反复问句及其句末语气助词

汉语的反复问句可分为VP-neg-VP和K-VP两大类型,其中,VP-neg-VP型包括简略式VP-neg.从广东、福建、江西三省的客家方言来看,其反复问句系统中都没有K-VP型,只有VP-neg-VP和VP-neg式,至于带宾语的VP-neg-VP型反复问,有V-neg-VO、VO-neg-VO和VO-neg-V三种形式.粤、闽、赣三省客家方言中VP-neg-VP和VP-neg型反复问句有各种表现形式,也有相关语气词的演化问题.     

Facile construction of novel CoMoO4 microplates@CoMoO4 microprisms structures for well-stable supercapacitors

A simple and controllable strategy has been developed to fabricate CoMoO_4 microplates/CoMoO_4 microprisms(CMCMs) structures on Ni foam via a facile, cost-effective, two-step hydrothermal route. The as-grown 3D architecture exhibited excellent areal capacitance of 4.33 F cm~(-2)at a galvanostatic chargedischarge current density of 50 mA cm~(-2)(6 Ag~(-1)) and outstanding cycle performance with only 2.8%degradation over 6500 cycles in the 3 M KOH solution. The asymmetric all-solid-state supercapacitors based on activated carbon(AC) and CMCMs exhibited much better electrochemical performance than the symmetric counterpart, showing an areal capacitance of 95.22 mF cm~(-2)at the current density of 12 m A cm~(-2)and excellent cycling stability with 92.27% of the initial capacitance after 5000 cycles. These results may provide useful guidelines for materials selection and configuration designs for the novel energy storage devices based on Co Mo O4 components and substrates.     

混沌高效遗传算法在水库含沙量预报中的应用

利用混沌映射的遍历性和实编码遗传算法的全局优化性,通过在遗传进化过程中加入混沌变异操作,在变量的定义域内投放大量的混沌初始群体,在实编码遗传算法进化过程中加入单纯形法学习算子,建立了一种新的混沌高效遗传算法(chaos higher efficient genetic algorithm, CHEGA).应用该法对3个非线性、高维、多峰值测试函数进行了仿真,在收敛速度和全局优化方面好于现有的简单遗传算法和改进的遗传算法.建立了水库含沙量预报模型.并将CHEGA用于求解上述模型的参数优化问题,与实数编码加速遗传算法(RAGA)、二进制加速遗传算法和随机优化算法等方法相比,CHEGA可以遍历到整个区域,较好的保持了种群的多样性,并且精度高、收敛速度快.CHEGA对求解实际水库计算模型的参数优化问题非常有效.     

好好芭叶片RNA提取方法和cDNA干旱消减文库的构建

介绍了从好好芭成熟叶片中提取总RNA的方法;用含有SDS的裂解液裂解细胞,用DNase除去可能出现的DNA干扰,再经植物提取试剂盒纯化后,获得了高质量的完整RNA,可用于基因编码序列的克隆和基因表达的mRNA分析等精细研究,并进一步构建了好好芭干旱消减文库.     

基于扩散模型的ZnO/p-Si异质结伏安特性研究

为了揭示ZnO/p-Si异质结的导电机理,基于p-n结扩散模型和Anderson扩散模型推导了ZnO/p-Si异质结在理想情况下的伏安特性,并分析了掺杂浓度、工作温度以及能带补偿的影响.结果表明:当正向偏压超过势垒高度时,界面两边多数载流子由耗尽变为堆积,形成反向势垒,对异质结的正向电流起阻碍作用;当外加正向电压等于内...     

浙江红花油茶茶油中脂肪酸主要成分分析

对浙江红花油茶茶油中脂肪酸性状的组成变化进行了研究,结果表明各产地油茶茶油中脂肪酸组成的单株间变异主要可分为3类:硬脂酸、亚油酸、亚麻酸、花生酸变异系数较大,其次为棕榈酸,油酸的变异系数最小.亚油酸、亚麻酸、花生酸在产地间差异不显著,硬脂酸和油酸在产地间差异显著,棕榈酸在产地间差异极显著.     

某高速公路大修养护方案设计

随着我国经济的快速发展、交通量的迅猛增长,已运营公路的养护大修工程也付诸实施。就某高速公路养护大修改造工程的实施,提出养护大修综合处治方案设计时的一些方案比选。     

基于nested-loop的大数据集快速离群点检测算法

针对已有的多数离群点检测算法存在扩展性差,不能有效应用于大数据集的问题,在已有的基于距离的离群点检测算法的基础上,设计模信息表存储结构,利用向量内积不等式关系以及合理的存储分配和调度策略,提出一种高效离群点检测算法DBoda.该算法通过在预处理中存储每个点的模信息,减少点间距离的计算量,并对嵌套循环方法进行优化,进一步减少I/O的开销.理论分析和试验结果表明,所提算法具有时间消耗小和适用于处理大数据集的特点,可以有效地解决离群点检测中的算法时间复杂性和算法扩展性问题.