振动状态下频率源特性测试技术研究

阐述了频率稳定性时频域表征的理论和测试方法,以及在振动条件下测量频率稳定性的意义,详细介绍了测量系统的组建方案及工作原理.最后提供了部分测试数据及测试曲线,并对测试系统的经济效益和社会效益进行了简单分析.该测试系统具有噪底低,体积小,便于携带,操作简便等特点,其综合技术指标达到国内领先水平,不仅适用于振动状态下的频率源特性测试,而且完全可以作为通用测试系统用于实验室、工厂等.     

生态环境材料——社会可持续发展的物质基础

 生态环境材料是近年来在先进材料研究中提出的一个新研究领域。简要介绍了生态环境材料概念的产生、发展及哲学基础,从材料环境协调性评价、材料和物质的再生循环、与生态系统相协调的材料与工程、环境工程材料、与材料科学相关的生态工程等几方面对生态环境材料研究的最新进展进行了评述。     

A Possible Transfer Mechanism for the 11-Year Solar Cycle to the Lower Stratosphere

Observational evidence of the 11-year solar cycle (SC) modulation of stratosphere temperatures and winds from the ERA-40 dataset is reviewed, with emphasis on the Northern winter hemisphere. A frequency modulation of sudden warming events is noted, with warmings occurring earlier in solar minimum periods than in solar maximum periods. The observed interaction between the influence of the SC and the quasi biennial oscillation (QBO) on the frequency of sudden warmings is noted as a possible clue for understanding their mechanism of influence. A possible transfer route for the 11-year solar cycle from the equatorial stratopause region to the lowest part of the stratosphere is proposed, via an influence on sudden warming events and the associated induced meridional circulation. SC and QBO composites of zonal wind anomalies show anomalous wind distributions in the subtropical upper stratosphere in early winter. Mechanistic model experiments are reviewed that demonstrate a sensitivity of sudden warmings to small wind anomalies in this region. Various diagnostics from these experiments are shown, including EP fluxes and their divergence and also the synoptic evolution of the polar vortex, in order to understand the mechanism of the influence. Some recent GCM experiments to investigate the SC/QBO interaction are also described. They simulate reasonably well the observed SC/QBO interaction of sudden warming events and appear to support the hypothesis that tropical/subtropical upper stratospheric wind anomalies are an important influence on the timing of sudden warmings.     

恒温热源条件下实际回热式布雷顿循环的功率密度优化

计人工质与高、低温侧换热器和回热器的热阻损失、压气机和涡轮机中不可逆压缩和膨胀损失及管路系统中的压力损失，用有限时间热力学方法，导出了恒温热源条件下实际回热式布雷顿循环功率密度与压比间的解析式，借助于数值计算，研究了高、低温侧换热器和回热器的热导率分配对最大功率密度的影响。     

不同生命周期项目组合的约束资本预算优化模型及算法

文章给出了约束资本预算优化模型的一般数学表达式.根据詹姆斯*范霍恩的共同生命周期法的理论,提出了一种对不同生命周期项目组合的约束资本预算优化的新算法.通过算例,说明了新算法与原有算法的差别,结果表明新算法考虑了项目的重置,在满足各种约束的前提下,按照净现值指数的大小选择项目组合,从总体上寻优,得到的净现值总和更大,具有更为优化的特征.     

吸力面翼刀对压气机叶栅内二次流的影响

1引言在叶轮机械叶栅内流动控制中,可以通过在叶片吸力面、端壁上安装翼刀或隔片,控制二次流的发展,降低二次流损失,其中将翼刀加装在吸力面上的控制方式即为吸力面翼刀控制技术。吸力面翼刀主要是通过阻断端壁附面层和叶片吸力面附面层近端壁处低能流动沿吸力面的展向迁移来对     

固体微推力器设计与数值分析

设计了两种基于微光机电技术的固体微推力器结构,其中一种结构具有不连续的非正常拉瓦尔喷管。采用数值计算方法对不同的设计进行了内弹道、燃气流动过程和热损失的数值分析。结果表明:不连续的非正常拉瓦尔喷管同样能够将推进剂燃气加速到超声速,其比冲性能与正常拉瓦尔喷管相当;微光机电技术常用的硅材料会造成推力器比冲性能较大量级的下降,而绝热性能良好的玻璃或陶瓷材料可以有效提高微推力器的比冲性能。     

时频测量的新技术——相位重合点检测技术

近年来相位重合点检测技术和周期性信号参数测量各种高精度的方法在国内外得到了广泛应用。对这种新技术的基本原理、所派生的频率、周期、相位差和时间间隔测量方法作了介绍。这些新方法测量精度高,测量频率范围宽,设备构成比较简单,在时频测量领域将获得越来越广泛的应用,可能逐渐取代已有的某些测量技术,并可在其它量测量领域获得推广。     

直流电机网络控制系统仿真

对直流电机网络闭环控制系统进行仿真分析,根据电机网络闭环控制系统原理建立仿真模型。对具有数据丢包的直流电机网络伺服控制系统输出响应特性进行仿真,比较系统分别采用PI控制及增益,可调PI控制方式时的输出特性。结果表明,相比常规PI控制增益可调PI控制方法在网络环境下具有更好的控制特性。该研究为网络伺服控制技术提供可靠的参考依据。     

A fast pulse phase estimation method for X-ray pulsar signals based on epoch folding

X-ray pulsar-based navigation (XPNAV) is an attractive method for autonomous deep-space navigation in the future. The pulse phase estimation is a key task in XPNAV and its accuracy directly determines the navigation accuracy. State-of-the-art pulse phase estimation techniques either suffer from poor estimation accuracy, or involve the maximization of generally non-convex object function, thus resulting in a large computational cost. In this paper, a fast pulse phase estimation method based on epoch folding is presented. The statistical properties of the observed profile obtained through epoch folding are developed. Based on this, we recognize the joint prob-ability distribution of the observed profile as the likelihood function and utilize a fast Fourier transform-based procedure to estimate the pulse phase. Computational complexity of the proposed estimator is analyzed as well. Experimental results show that the proposed estimator significantly outperforms the currently used cross-correlation (CC) and nonlinear least squares (NLS) estima-tors, while significantly reduces the computational complexity compared with NLS and maximum likelihood (ML) estimators.