铝及合金组合精炼剂应用研究

本文介绍了铝及其合金精炼剂的发展和应用现状，论述了常用精炼剂精炼机理及其特点，结合实际应用研究了组合精炼剂除去除杂的原理，介绍了其研制工艺及其精炼工艺应用结果。     

基于组合预测模型的某型导弹贮存寿命评估方法

科学确定导弹的贮存寿命对提高部队装备保障能力和战斗力具有重要的现实意义。针对导弹贮存数据具有“少数据”和随机波动性较大特点,建立了灰色GM（1,1）评估模型和马尔可夫模型的组合预测模型,并应川此组合预测模型解决了某型导弹贮存寿命评估的问题。结果表明,该方法对现有数据拟合程度较好,预测精度较高,克服单一预测方法的不足,有效性强,使用价值大。     

一种新型组合密封系统的实验研究

 介绍了一种新型组合密封系统——气体螺旋槽与铁磁流体组合密封型式.在分别对这两种密封型式研究基础上,进行了组合密封实验.实验表明,这种密封型式可以达到从零速到设计转速整个范围内均具有所需要的密封能力.在高速旋转密封时,螺旋槽有效地抑制了铁磁流体的飞溅,并在铁磁流体破裂时,使其迅速恢复密封能力.所以该组合密封具有无污染、高可靠性等特点.同时指出,通过调节这两种密封型式的结构设计参数,可以满足不同的密封要求.这些性质是其它非接触式密封所做不到的.     

疲劳载荷下单向陶瓷基复合材料界面摩擦力识别

为了确定疲劳加载过程中不同循环数下界面摩擦力的大小,对单向陶瓷基复合材料(CMCs)的疲劳迟滞行为进行了研究,提出了单向CMCs疲劳载荷下界面摩擦力识别方法。基于剪滞模型,确定了疲劳峰值和谷值应力下纤维应力分布。并基于数形结合的方法推导了迟滞环割线模量的理论值与界面摩擦力之间的函数关系。将迟滞环割线模量的实验值与理论值进行比较,识别了不同循环数下界面摩擦力的大小。结果表明,在前1000个循环内,界面摩擦力从9.89MPa 减小为5.28MPa,并在随后的循环内保持近似不变,说明疲劳过程中界面磨损主要发生前1000个循环内。     

基于组合赋权法的着陆冲出跑道事故影响因素评估

为了研究着陆冲出跑道事故的影响因素,在综合分析事故案例及已有研究成果的基础上,建立了着陆冲出跑道事故影响因素的指标体系,其中包括“人、机、环、管”为主的4个一级指标和14个二级指标,运用组合赋权法构建着陆冲出跑道事故影响因素的评估模型.采用该模型对近几年官方发布的完整的43起着陆冲出跑道事故调查报告进行评估,分别运用熵权法和层次分析法计算评价指标的客观及主观权重,之后利用组合赋权法得到组合权重并对评估结果进行对比分析.评估结果表明,引入组合赋权法可以得到着陆冲出跑道事故影响因素的科学的权重大小,对防范着陆冲出跑道事故的发生以及改善民航安全有一定的指导意义.     

多因素影响下舰载机备件需求的组合预测

舰载机列装时间较短,备件的样本数据较小,而且保障中受起落次数、飞行强度、海洋恶劣环境等因素影响较大。针对舰载机这一系列保障特点,选用了对多因素影响的小样本有较好预测效果的 BP神经网络、GM(1,N)预测模型和 SVM回归预测模型 3种预测方法,建立基于 IOWA算子的组合预测模型,以误差平方和为准则对数据进行分析,并利用 Matlab工具箱进行优化计算,从而得出最优组合预测结果。实例分析结果验证了该组合预测模型 的科学性和优越性。     

飞机供电系统自动化仿真技术

飞机供电系统是现代飞机核心组成部分之一,其性能和可靠性对飞机安全至关重要,仿真方法为高品质飞机供电系统设计提供了重要手段。传统的手动仿真方法需要耗费大量人力和时间资源,且无法完全考虑系统的复杂性和不确定性,因此无法满足飞机供电系统全面分析和评估的需求。文中提出了一种将虚拟仿真和实物系统相结合的飞机供电系统自动化仿真技术,能够提高仿真效率和准确性,且可快速、高效地评估飞机供电系统的性能,发现潜在问题,指导系统的优化与改进,对提高飞机供电系统的设计、分析和优化具有重要意义。     

Monitoring of maize lodging using multi-temporal Sentinel-1 SAR data

Lodging is a common phenomenon in maize production, which seriously affects its yield, quality, and mechanical harvesting capacity. With good penetrating power, satellite radar can monitor crop growth even under cloudy weather conditions. In this study, a method based on the change in plant height before and after lodging in maize is proposed to calculate the lodging angle and monitor the lodging degree by using dual-polarization Sentinel-1A data. The results show that the optimal sensitive polarization combinations of maize plant height before and after lodging are VH/VV and VV, respectively. The lodging angle is calculated using the plant height inversion results before and after lodging. The overall accuracy of classifying lodging grade of maize is 67%. The proposed model based on lodging angle could effectively mapped the maize lodging range on a regional scale and classify the lodging grades.     

Correction model of BDS satellite-induced code bias and its impact on precise point positioning

There are code biases on the pseudo-range observations of the Beidou Navigation Satellite System (BDS) that range in size from several decimeters to larger than one meter. These biases can be divided into two categories, which are the code biases in the pseudo-range observations of Inclined Geo-Synchronous Orbit (IGSO) satellites and Medium Earth Orbit (MEO) satellites and the code biases in the pseudo-range observations of Geosynchronous Earth Orbit (GEO) satellites. In view of the code bias of the IGSO/MEO satellites, the code bias correction model is established using the weighted least square curve fitting method. After the correction, the code biases of the IGSO and MEO satellites are clearly mitigated. A methodology of correcting GEO code bias is proposed based on the empirical mode decomposition (EMD)-wavelet transform (WT) coupled model. The accuracies of the GEO multipath combination of the B1, B2 and B3 frequencies are improved by 39.9%, 17.9%, and 29.4%, respectively. Based on the corrections above, the ten days observations of three Multi-GNSS Experiment (MGEX) stations are processed. The results indicate that the convergence time of the precise point positioning (PPP) can be improved remarkably by applying a code bias. The mean convergence time can be improved by 14.67% after the IGSO/MEO code bias correction. By applying the GEO code bias, the mean convergence time can be further improved by 17.42%.     

GOCE star tracker attitude quaternion calibration and combination

We analyse the inter-boresight angles (IBA) measured by the star trackers on board the GOCE satellite and find that they exhibit small offsets of 7–9″ with respect to the ones calculated from the rotation of the star tracker reference frames to the satellite reference frame. Further, we find small variations in the offsets with a peak-to-peak amplitude of up to 8″, which correlate with variations of the star trackers’ temperatures. Motivated by these findings, we present a method for combining the attitude quaternions measured by two or more star trackers that includes an estimation of relative attitude offsets between star trackers as a linear function of temperature. The method was used to correct and combine the star tracker attitude quaternions within the reprocessing of GOCE data performed in 2018. We demonstrate that the IBA calculated from the corrected star tracker attitude quaternions show no significant offsets with respect to the reference frame information. Finally, we show that neglecting the star tracker attitude offsets in the processing would result in perturbations in the gravity gradients that are visible at frequencies below 2?mHz and have a magnitude of up to 90?mE. The presented method avoids such perturbations to a large extent.