Solar cycle and latitude dependence of high-beta suprathermal plasma conditions in interplanetary space between 1.3 and 5.4 AU

The analysis of energetic particles and magnetic field measurements from the Ulysses spacecraft has shown that in a series of events, the energy density contained in the suprathermal tail particle distribution is comparable to or larger than that of the magnetic field, creating conditions of high-beta plasma. In this work we analyze periods of high-beta suprathermal plasma occurrences (β_ep > 1) in interplanetary space, using the ratio (β_ep) of the energetic particle (20 keV to ∼5 MeV) and magnetic field energy densities from measurements covering the entire Ulysses mission lifetime (1990–2009) in order to reveal new or to reconfirm some recently defined interesting characteristics. The main key-results of the work are summarized as follows: (i) we verify that high-beta events are detected within well identified regions corresponding mainly to the vicinity of shock surfaces and magnetic structures, and associated with energetic particle intensity enhancements due to (a) reacceleration at shock-fronts and (b) unusually large magnetic field depressions. (ii) We define three considerable features for the high-beta events, concentrated on the next points: (a) there is an appreciable solar-activity influence on the high-beta events, during the maximum and middle solar-cycle phase, (b) the annual peak magnitude and the number of occurrences of high events are well correlated with the sunspot number, (c) the high-beta suprathermal plasma events present a spatial distribution in heliographic latitudes (HL) up to ∼±80°, and a specific important concentration on the low (−25° ? HL < −6°, 6° < HL ? 25°) and median (−45° ? HL < −25°, 25° < HL ? 45°) latitudes. We also reconfirm by a statistical analysis the results of Marhavilas and Sarris (2011), that the high-beta suprathermal plasma (β_ep > 1) events are characterized by a very large parameter β_ep (up to 1732.5), a great total duration (406 days) and a large percentage of the Ulysses-mission lifetime (which is equal to 6.34% of the total duration with usable measurements, and 11.3% of the duration in presence of suprathermal particles events).     

高速飞行器热结构工作时变模态参数辨识

高速飞行器由于其很高的飞行速度而无可避免地受到气动加热作用的影响,进而引起结构特性的时变。采用理论或有限元方法(FEM)进行数值分析,难以获取反映结构在飞行(工作)状态下的真实模态参数。通过辨识获取高速飞行器热环境下的时变结构模态参数是一项十分具有挑战性的任务。针对此问题,引入参数化时频域的最大似然方法,对气动加热作用下的高速飞行器升力面结构的时变模态参数进行了辨识。通过模拟真实飞行状态的数值算例研究,说明参数化时频域的最大似然方法能够很好地辨识出低信噪比(SNR)情况下的模态频率和模态振型,验证了参数化时频域最大似然方法适用于具有显著时变特征的高速飞行器热结构的时变结构模态参数辨识,可为将来相关的工程研究和应用提供良好的理论支持。     

Experimental and numerical investigation on surface quality for two-point incremental sheet forming with interpolator

The unsatisfied surface quality seriously impedes the wide application of incremental sheet forming(ISF) in industrial field. As a novel approach, the interpolator method is a promising strategy to enhance the surface quality in ISF. However, the mechanism for the improvement of surface quality and the influence of interpolator properties on surface roughness are not well understood. In this paper, the influences of process variables(i.e. tool diameter, step size and thickness of interpolators) ...     

基于深度学习递归神经网络的电离层总电子含量经验预报模型

利用行星际太阳风参数与太阳活动指数、地磁活动指数、电离层总电子含量格点化地图数据,首次基于一种能处理时间序列的深度学习递归神经网络（Recurrent Neural Network,RNN）,建立提前24h的单站电离层TEC预报模型.对北京站（40°N,115°E）的预测结果显示,RNN对扰动电离层的预测误差低于反向传播神经网络（Back Propagation Neural Network,BPNN）0.49～1.46TECU,将太阳风参数加入预报因子模型后对电离层正暴预测准确率的提升可达16.8%.RNN对2001和2015年31个强电离层暴预报的均方根误差比BPNN低0.2TECU,将太阳风参数加入RNN模型可使31个事件的平均预报误差降低0.36～0.47TECU.研究结果表明深度递归神经网络比BPNN更适用于电离层TEC的短期预报,且在预报因子中加入太阳风数据对电离层正暴的预报效果有明显改善.     

发动机线性模型在动态过程中的应用研究

本文分析了发动机线性模型在动态过程中的应用研究,建立了发动机线性变参数模型,并进行了仿真验证,获得了较好的动态性能。这样,在发动机整个工作过程中,可通过线性变参数模型将发动机的稳态和动态过程描述出来,方便了控制器的设计。     

某弹载天线热管PCM热控装置参数分析

为获得某弹载天线热管PCM复合热控装置的相控阵天线的温控性能,建立了其整机数学模型,并基于DSC测试数据,采用有效热容法对材料的相变过程进行模拟。根据T/R组件安装面的最高温度和储热器内相变材料的相变完成情况,研究了相变材料导热系数和翅片数对整机热控性能的影响。研究发现,使用较高导热系数的相变材料与较多的铜翅片数量有利于提高装置的热控性能,且两参数效益可以互补。最后根据研究获得的综合优选参数,制作了试验样机,验证了参数设置的合理性和可行性。     

Operational modal parameter identification with colored noise excitation

Operational Modal Analysis (OMA) refers to the modal analysis of a structure in its operating state. The advantage of OMA is that only the output vibration signal of a system is used in the analysis process. Classic OMA is based on the white noise excitation assumption and many identification methods have been developed in both time domain and frequency domain. But in reality, many environmental excitations are not compliance with the white noise assumption. In this paper, a method of half power bandwidth analysis is applied to power spectrum analysis to deal with the colored noise and trapezoidal spectral excitation. The modal frequencies and modal damping ratios are derived and the error caused by trapezoidal spectral and colored noise excitation are analyzed. It is proved that the OMA algorithm based on the white noise assumption can be extended to the colored noise environments under certain conditions. Finally, a simulation example with a cantilever beam and a vibration test with four kinds of colored noise and trapezoidal spectrum base excitation are carried out and the results support the proposed method.     

基于动力学仿真技术的TC4整体叶轮铣削参数优化

针对某航空发动机TC4整体叶轮在数控加工过程中存在颤振、加工效率低及因加工变形而导致局部超差等问题,提出了相应的铣削参数优化解决方案。在进行切削力系数辨识试验获取TC4材料的切削力系数及锤击试验获取加工系统动力学特性参数的基础上,通过综合使用自行开发的铣削加工动力学仿真软件SimuCut和国外的CutPro软件进行动力学仿真与优化,获得了优化的切削参数。使用优化的切削参数进行加工,有效地消除了颤振和因加工变形引起的局部超差,提高了加工效率。     

差动变压器式位移传感器专家设计系统的研究

在分析差动变压器式位移传感器整个设计流程的基础上,提出开发位移传感器专家设计系统。按照实际流程,将专家设计系统分为参数设计、分析仿真、三维建模三个部分,并简要介绍了整个系统的结构、功能及实现。     

用于微型涡轮机的节流孔式静压气浮轴承实验

对用于厘米级微型涡轮发动机的径向静压气浮轴承展开了实验研究,分析了长径比、节流孔径、气膜间隙及供气压力等对承载力、刚度和耗气量的影响.提出了这些设计参数的优选方法,并结合直径11 cm的某微型喷气发动机,给出了与之匹配的径向静压气浮轴承设计方案:工作面直径15 mm、长度17.5 mm、节流孔径0.35 mm、气膜间隙25μm.此方案在供气绝对压力2.5 kPa时,双轴承支撑能力为13.72 N,耗气量小于1.0 g/s,有效地满足了微型涡轮发动机要求.