A computational fluid dynamic analysis of gas and particle flow in flame spraying

The flame spraying process, which is a common industrial thermal spraying application, has been analyzed by means of three-dimensional computational fluid dynamics (CFD) simulations. The process used at the Volvo Aero Corporation for the coating of fan and compressor housings has been modeled. The process uses the Metco 6P torch (Metco, Westbury, NY), which ejects a mixture of acetylene and oxygen at high speed through a ring of 16 orifices to form the flame. A stream of argon gas flowing through an orifice in the center of the ring carries a powder of nickel-covered bentonite through the flame to the spray substrate. The torch is cooled by a flow of air through an outer ring of 9 orifices. The simulation emulated reality closely by including the individual inlets for fuel, cooling air, and injected particles. The gas combustion was simulated as a turbulent, multicomponent chemically reacting flow. The standard, two-equation k-ε turbulence model was used. The chemical reaction rates appeared as source terms in the species transport equations. They were computed from the contributions of the Arrhenius rate expressions and the Magnussen and Hjertager eddy dissipation model. The first simulations included several intermediate chemical substances whose predicted concentration agreed favorably with measurements. Later, more simplified simulations incorporated only the global chemical reaction involving the initial and the final products, with corrections to the thermal properties being made to account for the missing intermediaries. The gas velocity and temperature fields predicted by the later simulations compared satisfactorily to those predicted by the earlier, more elaborate, ones. Therefore, the final simulations, which incorporated injected particles, were conducted employing the simplified model with only the global reaction. An in-house finite difference code was developed to calculate particle properties. Allowance was made for elliptical shapes, phase changes, and internal heat transfer with regard to the composite material. The particle velocities and temperatures predicted by the final simulations compared fairly well with experimental results obtained with the optical DPV2000 system.     

基于流场数值模拟的导流堤加固方案优化设计

流态和流速分析是导流堤设计的先决问题。以某沿海水利枢纽导流堤为研究对象,采用有限元数值模拟的手段及平面二维水流数学模型,对其加长加固方案进行对比分析,优选出合理的导流堤结构型式和长度,为工程设计提供理论参考。     

闸坝水力学特性的三维数值模拟

本文采用标准k-ε双方程紊流模型及基于水气两相流的VOF方法,运用FLOW3 D软件对闸坝进行数值模拟,得出不同水位下的闸坝泄流能力,以及不同部位的闸室及消力池水面线、流速、压力等重要水力学要素。结果表明数值计算在一定程度上可以达到模型试验的效果。     

基于Hadoop的云端异常流量检测与分析平台

Hadoop系统作为一种开源的分布式云计算平台已获得广泛应用,但其云端易受到各种威胁和攻击,基于此,开发了一种基于Hadoop的云端异常流量检查与分析平台。首先,使用Mapper周期性地从所有存储流量信息的文件中提取流量的部分信息;然后,通过Reducer将异常流量提取并保存。通过对流量数据的存储、检测与分析可成功地检测出有威胁的攻击,从而保障云端的安全。由于本平台基于开源的Hadoop实现,因此成本较低;同时,基于Java语言实现,可成功移植于各种主流操作系统,具有广泛适用性。基于局域网进行监控试验,结果表明本平台可成功地检测出异常流量,并输出友好的用户界面。     

一种基于视频的公交客流自动统计方法

为提高公交系统智能化管理水平,提出一种公交客流自动统计方法。采用直方图统计与多帧平均的方法提取视频背景,使用背景边缘去除算法得到乘客目标边缘轮廓信息。在此基础上,根据乘客头部轮廓的类圆特性,利用基于梯度信息的Hough变换圆检测算法完成乘客头部轮廓的识别,通过基于Kalman滤波预测的CamShift目标跟踪算法实现乘客的检测与计数。实验结果表明,该方法能有效消除背景图像中的噪声以及背景边缘,准确识别乘客目标并对其跟踪计数,从而提高城市公共交通运输效率。     

教育公共服务平台基础数据的采集与应用

基础数据是教育管理公共服务平台的核心与基础。提高基础数据的应用服务能力,数据采集是基础、数据整合是关键、数据安全是保障、智能分析是需要。结合云计算的应用,分析教育基础数据的组成、基础数据采集与应用中存在的问题与困难,探讨在教育云环境下,教育基础数据的采集与存储、交换与共享、应用与服务等过程中的挑战及其解决方案。     

基于GPU的元胞自动机熔岩流动模拟

为解决基于元胞自动机进行熔岩流动模拟的计算效率问题,提出一种应用在元胞自动机上的GPU并行计算方法。将元胞自动机中每一个方形网格映射到GPU的一个逻辑计算单元上,通过并行计算,提高模拟的效率,解决传统串行计算方法的不足,使模拟达到实时性。模拟结果表明,在元胞自动机的物理模型理论基础上,用GPU并行计算进行加速,在模拟效果和时间效率上均取得了良好的效果。     

双弯管法煤粉质量流量检测

双弯管法是一种基于弯管单相流测量原理的气固两相流固相质量流量测量方法,其测量结果与输入参数间非线性关系非常复杂,直接影响其测量精度.在双弯管法固相质量流量测量原理基础上,利用人工神经网络优良的非线性映射能力,建立了一种带有附加动量项的BP神经网络软测量模型,并在气固两相流测量实验平台上进行了实验研究.以实验数据为样本对双弯管法软测量模型进行训练,仿真结果与实验数据一致性较好,测量误差小于6％,为煤粉质量流量实时在线测量提供了一种行之有效的方法.     

一种测量气--液两相流的线列阵传感器设计

针对气—液两相流研究对含气率测量的需求,基于线列阵测量技术原理,设计了一种可移动式线列阵两相流测量传感器,该传感器具有较高的空间分辨率（3 mm）和极高的时间分辨率（2500 Hz）,设计了线列阵传感器标定和含气率算法,实现了瞬时二维局部含气率的测量。经过射流冲击试验验证表明：该线列阵传感器结构稳定,基于原始测量数据,采用标定和含气率求解算法,可计算气泡夹带现象在水平截面的平均含气率分布情况。