基于正激波位置计算的进气道/发动机系统实时仿真模型

研究了超声速条件下,基于进气道内正激波位置计算的进气道/发动机系统综合仿真问题。提出了将超声速进气道分为内、外两部分独立计算的方案,外部通过斜激波计算公式获得进气道内部的边界条件,对进气道内部采用准一维CFD模型模拟背压对正激波位置的影响。相比二维CFD计算,在保证参数精度要求的前提下有效缩短了计算时间,提高了仿真实时性。进一步将进气道模型与发动机部件级模型匹配运行,构建了进气道与发动机综合实时仿真模型。进气道/发动机综合模型的仿真表明,其能够准确模拟进气道正激波位置对涡扇发动机的动稳态影响,当来流发生扰动时,通过喷管喉道面积和压缩部件导叶角的快速调节,能够抑制正激波位置的变化,并使推力下降量减少50%。      

NNW-TopViz流场可视分析系统

流场可视化技术采用图形图像直观地表现CFD数值模拟的计算结果,使用户能够方便地对这些数据进行分析、比较和研究。然而,CFD数值模拟的流动复杂,其产生的流场数据规模巨大、数据类型复杂、特征提取困难,传统的串行可视化软件效率低、交互手段单一,难以满足数据分析的需求。国家数值风洞（NNW）工程研制了一套流场数据处理可视化软件系统（NNW-TopViz,简称TopViz）,具有对流场数据处理与特征提取、几何图形绘制等可视化与交互功能。根据可视分析效率需求,TopViz实现了线程并行,在多核计算环境下有效提高了可视化计算和交互效率;针对流场特征提取困难、常规方法效率低的问题,TopViz实现了基于卷积神经网络的流场旋涡特征提取方法,提升了特征提取准确率和效率;为提高软件交互效率并提供便捷的交互方式和体验,基于头戴式显示设备和体感控制器构建沉浸式虚拟显示与交互平台,TopViz实现了手势和眼球凝视2种交互方法,提供沉浸式环境下多视图、多角度流场探测方式。     

基于负载特征聚类的节能资源调度算法

基础设施即服务(IaaS,Infrastructure as a Service)平台提供商为用户提供高性能服务的同时,必须考虑如何在不违反服务级别协议(SLA,Service Level Agreement)的前提下,节约云平台的能耗成本.采用基于负载特征聚类的方法,提出一种IaaS云平台上保证SLA的资源调度算法,最终实现降低SLA违反率和节约能耗的目标.具体采用能耗相关的负载特征提取和改进K-means聚类分析的研究方法,进行资源调度算法研究,对物理资源进行有效分配,以保证IaaS平台节约能耗的要求.实验验证方面,通过扩展CloudSim模拟实验平台,对本研究算法与改进BFD(Best Fit Decreasing)算法进行比较,得出本研究算法在SLA违反率和节能方面更优.      

Flow field characteristics,mixing and emissions performance of a lab-scale rich-quench-lean trapped-vortex combustor utilizing a quench orifice plate combined with a bluff-body

In this study, the low emission combustion technology of Rich-Quench-Lean (RQL) has been applied in Trapped-Vortex Combustor (TVC), and the combinative RQL-TVC shows a promising low emissions performance. By utilizing a quench orifice plate combined with a bluff-body, a lab-scale RQL-TVC was designed. The flow fields of RQL-TVC were measured by 2-D PIV and predicted by 3-D numerical simulation. Flow structures, radial profiles of normalized mean axial velocity, turbulence intensity and mixing level of the quench zone were analyzed. Results reveal that the dual-vortex and the single-vortex flow patterns both exist in cavities and quench zone of RQL-TVC, and the turbulence intensity is strong in the quench zone with some reverse flows. The spiral vortex was discussed by 3-D streamlines and the detail flow structures of the quench zone were analyzed based on the numerical results. The mixing level of the quench zone was determined, and results show that the quench device enhances the mixing level compared with TVC. Combustion efficiency and emissions performance were investigated experimentally, and results demonstrate that RQL-TVC has relatively higher combustion efficiency and lower emission index of CO, UHC and NO_x than the same size lab-scale TVC in present work.     

某飞机上航炮的黑色磷化液的研究

飞机上常用的航炮要求具有优良的综合力学性能和抗腐蚀性能,一般都需要进行磷化处理和发蓝处理。介绍一种黑化装饰效果及抗蚀性好的钢铁件磷化液,其由黑化液和磷化液两部分组成部分。经飞机上航炮的试验研究表明：用该黑色磷化液处理后,既起到磷化的效果又进行了发黑处理;生成的黑色磷化膜,色泽乌黑纯真,并且有良好的稳定性和极强的抗蚀性能。     

New trade tree for manned mars missions

Recent studies on human missions to Mars suggest revisiting the parameters that have the most important impact on the complexity, the initial mass in low Earth orbit, the risks and the development costs for the first journey to the red planet. In the last NASA reference mission, a trade tree is proposed.     

质量管理体系中的计量保证工作研究

计量保证是型号产品质量管理的重要组成,是保证型号研制、生产、试验、使用中单位统一、量值准确可靠的重要手段,为支撑型号创新发展和保证型号产品质量发挥着基础性保障性作用。经过多年发展,计量保证已逐步融入型号质量工作,并通过质量管理条例、计量监督管理条例等相关法规和标准得到进一步的巩固,有力地支撑着型号的研制生产。新时期,型号产品发展为计量保证工作提出了新要求、新问题和新挑战,本文对型号计量保证工作的现状、发展需求和存在的不足进行了分析,并提出了后续的工作建议。     

在役钢结构概率安全评定方法

针对大型在役钢结构的安全评定问题,综合利用第二水平法和Monte Carlo法,提出了静载和疲劳条件下概率安全评定的方法;并利用三阶段腐蚀规律对海洋气候腐蚀条件下概率安全评定过程进行了修正.以青岛港装船机主梁和翻车机端环为例进行了实际结构的安全评定分析计算,分别得出了这些结构中一些缺陷的确定性和概率安全评定结果.2种评定结果是大体上是相近的,但也存在一些不同.通过对这些确定性和概率安全评定结果的对比分析,得到了确定性和概率性安全评定方法的初步关系式-近似为单对数线性关系,此结论为概率安全评定方法的工程化奠定了基础.     

厦门机场低空风切变产生的地理成因分析

厦门机场航班飞行遭遇低空风切变的频次较高,危及飞行安全。产生风切变的原因主要有两大类,一是大气运动本身的变化,一是地理、环境因素。本文着重分析因厦门机场地理环境及环境变化导致风切变产生的原因。     

LEVEL DECISION-MAKING FOR AERO-ENGINE MODULES BASED ON INCREMENTAL KNOWLEDGE LEARNING

The maintenance of an aero-engine usually includes three levels, and the maintenance cost and period greatly differ depending on the different maintenance levels. To plan a reasonable maintenance budget program, airlines would like to predict the maintenance level of aero-engine before repairing in terms of performance parame- ters, which can provide more economic benefits. The maintenance level decision rules are mined using the histori- cal maintenance data of a civil aero-engine based on the rough set theory, and a variety of possible models of upda- ting rules produced by newly increased maintenance cases added to the historical maintenance case database are in- vestigated by the means of incremental machine learning. The continuously updated rules can provide reasonable guidance suggestions for engineers and decision support for planning a maintenance budget program before repai- ring. The results of an example show that the decision rules become more typical and robust, and they are more accurate to predict the maintenance level of an aero-engine module as the maintenance data increase, which illus- trates the feasibility of the represented method.