Performance relationships between ground model and space prototype of deployable space antennas

Performance testing is very useful in the design of deployable space antennas. It is arduous and costly to carry out the prototype experiments on the ground because of the large aperture of the antenna and the difficulty of simulating space environments. Thus, a smaller replica of the antenna, called scale model, is used to achieve the performance testing for reasons of economy, convenience, and saving in time. In this paper, a two-step approach is proposed to predict the prototype performance of the antenna in the space environment according to the performance testing of the scale model. The first step is to analyze the similarity between the prototype and the model in the same environment. Different methods are adopted according to the different performance of the antenna. The scaling laws of the driving force of the deployable Astromesh antenna are established through the differential equations on the basis of the deployment dynamic equations, while the scaling laws of frequency are derived by the dimensional analysis method. The second step is to analyze the performance relationships of the scale model in the different environments. Experiments on the scale model can be performed to obtain the performance relationships. Finally, a complete example of the natural frequency analysis is given to illustrate the two-step method.     

单直管科氏质量流量计结构研究

科氏质量流量计是一种高精度的适应范围很广的流量计，通过检测管子上两路振动信号的相位差，就可以算出流经管道的质量流量。本文分析了影响流量计性能和精度的因素，从结构设计的角度提出了改进的方法，并给出了几种解决的方案。     

A new component maps correction method using variable geometric parameters

Accurate engine performance models are important for model-based performance evaluation of aero engine. The accuracy of the model often depends on engine component maps, so there is a need for a method that can accurately correct the component maps of the model over a wide range. In this paper, a new method for modifying component maps is proposed, this method combines the correction of the scaling factors with the solution process of the off-design working point, and uses the adjustment of the variable geometric parameters of the engine to change the position of the working line, in order to obtain more correction results and guarantee high accuracy in a wider range. The method is validated by taking the main fan of the Adaptive Cycle Engine (ACE), an ideal power unit for a new generation of multi-purpose and ultra-wide working range aircraft, as an example. The results show that the maximum error between the corrected component maps and the target maps is less than 1%. New possibility for more precise component maps can be realized in this paper.     

A physics-based framework for online surface roughness assessment for high-pressure turbines

Surface roughness is a critical health parameter of a turbine blade due to its implications on blade surface heat transfer and structural integrity. This paper proposes a physics-based online framework for Gas Turbine Engines (GTE), in order to assess the blade surface roughness in a high-pressure turbine without engine shutdown. The framework consolidates Gas Path Analysis (GPA) based performance monitoring models and meanline turbomachinery analysis, using a novel GPA-meanline matching process. This extracts meaningful performance deviation trends from GPA, while addressing the uncertainties associated with the measurements and modelling. To relate efficiency loss to surface roughness severity, a meanline-based system-identification process has been developed to establish the meanline representation of the turbine stage, and to incorporate the empirical surface roughness loss correlations. The roughness loss correlations have been evaluated against recent transonic test data in the literature. A modification to the compressibility correction factor has been made according to the evaluation outcome, which improved loss predictions compared to the experimental measurements. The framework was tested on the three-year operational data of a cogeneration GTE, and the results verified the framework's potential for online surface roughness monitoring. The predicted surface roughness showed agreement in both trend and the magnitude-level with the measurements reported in the literature.     

CJ1飞机在湿和污染跑道上的起飞着陆性能分析

2009年12月中国民用航空局(CAAC)下发了咨询通告《航空承运人湿跑道和污染跑道运行管理规定》(AC-121-FS-2009-33)。咨询通告给出了干、湿和污染跑道的定义并明确了相应的起飞着陆性能要求,强调了进行到达时着陆距离评估的重要性。本文结合法规对CJ1在湿和污染跑道的起飞性能和着陆性能进行了分析。     

压气机放气对核心机起动性能的影响研究

为了研究压气机放气对核心机起动性能的影响,本文利用十级轴流高压压气机的放气专项试验结果分析了放气对压气机中低转速性能的影响,基于大涵道比涡扇发动机的核心机性能模型分析了放气量和放气位置对核心机性能的影响,最后开展了三种不同放气规律的核心机起动试验。结果表明：合理的设置放气方案,可以优化压气机前后级流动匹配,有效降低核心机试验中压气机的共同工作线,改善核心机的起动性能。     

支撑板型线和径向倾斜设计对燃气轮机排气扩压器气动性能的影响

支撑板结构设计直接影响燃气轮机排气扩压器的流场结构和气动性能。本文在验证数值方法可靠的基础上,采用求解三维Reynolds-Averaged Navier-Stokes(RANS)和 湍流模型的方法对带进气导叶和支撑板的排气扩压器模型进行了研究,探究在四种进气预旋下,支撑板截面型线以及本文提出的支撑板径向倾斜设计方案对排气扩压器气动性能的影响。结果表明：进气预旋和支撑板设计方式相同时,截面型线更薄的支撑板更易导致流体在支撑板附近的分离及更大范围的尾迹流,从而增大总压损失;支撑板截面形状相同时,与径向垂直设计相比,支撑板采用径向倾斜设计使得排气扩压器通道面积变化更加平缓,从而使得在四种进气预旋下,排气扩压器的总压损失系数下降7%-20%。当支撑板截面型线宽长比为0.2时,相对于径向垂直设计,支撑板采用径向倾斜设计方式的排气扩压器静压恢复系数在进气预旋 和 时分别提升了4.7%和3.8%;但在支撑板截面型线宽长比为0.12和0.175时,支撑板采用径向倾斜设计方式会降低排气扩压器在进气预旋 和 时的静压恢复性能。     

旋转爆震冲压发动机总体性能分析

为了快速可靠地评估旋转爆震冲压发动机的总体性能,针对冲压模态下的旋转爆震发动机建立了性能分析模型。模型以飞行条件和冲压发动机关键几何参数作为输入参数,结合气体动力学和C-J爆震理论,获得旋转爆震燃烧室的流场参数分布以及发动机喷管排气参数,输出发动机推力以及燃料比冲,建立了基于连续旋转爆震的冲压发动机性能评估方法。模型参与反应的燃料和氧化剂分别为煤油以及空气,主要研究了燃料温度、喷管喉部面积、燃烧室环面面积、反应物当量比、飞行马赫数以及飞行高度对发动机燃料比冲、推力的影响趋势。研究结果表明,控制其它变量不变,发动机推力与燃料比冲随燃料温度上升而提高;随喷管喉部面积、燃烧室环面面积减小而增大;随飞行高度增加而降低;燃料比冲随当量比、马赫数增大而减小,而推力随当量比、马赫数增大而增大。在高度为25 km、马赫数为4、当量比为0.6的工况下,发动机燃料比冲可达到1 740 s。分析结果表明,模型计算方法可靠,可快速计算出旋转爆震冲压发动机的推力性能,为旋转爆震冲压发动机的设计提供可靠参考。     

亚洲10大枢纽机场运营绩效预测研究

提高机场未来运营绩效是可持续发展的关键,对其进行准确预测是改善机场运营绩效的基础。考虑到突发事件的影响,单纯定量预测存在预测失真问题,本文采用定性定量结合分析法预测亚洲 10 大枢纽机场“十四五”期间的运营绩效,对比灰色模型定量分析法和 ARIMA 模型的预测结果,并对机场运营绩效预测结果进行分析。结果表明：灰色模型定量分析法比 ARIMA 模型更适合预测机场运营绩效;与实际统计值相比,灰色模型预测的误差都小于 4%,预测精度较好;采用定性定量结合分析法得到了机场未来运营绩效预测的结果,比单纯定量预测更符合实际情况。     

浅析“SOP”在空管系统的应用

本文分析了SOP在企业中的功能、创建与实施的关键以及对SOP理解的五大误区。同时,结合空管行业特点,剖析了SOP在空管行业的运行现状,总结规律,并就如何做好空管系统SOP的运行管理提出了建议,对如何在空管系统运用SOP是非常重要的。