基于MBD的飞机装配工装协同变更方法

装配工装在飞机产品生产过程中处于飞机设计的下游,受到飞机装配件设计及其装配工艺的影响以及飞机生产准备周期限制,时间紧迫,任务繁重。传统的飞机装配工装以文本、二维图形式表达为主,信息是静态的,缺乏唯一的数据源易导致飞机-装配工装协同变更管理效率低、准确性差,针对以上问题提出一种飞机-装配工装协同变更方法:利用基于模型的定义(Model based definition,MBD),建立了飞机和装配工装MBD模型关系架构,并结合相关的变更传播计算方法实现了飞机设计结构变更对装配工装变更影响的主动、自动化预测和分析。通过一套飞机壁板开口加强框的装配工装变更设计实例验证了该方法的可行性。     

基于强度退化的齿轮可靠性计算模型研究及应用

为了研究强度退化对齿轮可靠性的影响,针对一般工作环境下具有多种失效模式的齿轮,通过引入条件概率,考虑零件失效相关性和材料性能退化因素,利用动态应力-强度干涉模型建立基于强度退化的齿轮可靠性的计算模型。以某型齿轮可靠度计算为例,其计算结果表明:在考虑材料强度退化时,齿轮的可靠度随工作时间的增加不断降低,验证了该计算模型的准确性。     

仿生四足六旋翼无人机自适应着陆性能分析

旋翼无人机在民用和军用领域被广泛应用,但传统撬式起落架在复杂地形下难以起降,为了扩大旋翼无人机的降落面积和应用范围,设计一种仿人腿式两级缓冲自适应起落架。通过对仿生腿的正逆运动学分析,提出一种自适应起落架姿态调整策略;建立仿生四足六旋翼无人机着陆动力学模型,基于多体动力学软件sim?center 3D 开展了着陆动力学仿真,并与传统撬式起落架进行着陆性能对比研究。结果表明：着陆腿式的两级缓冲自适应起落架及其姿态调整策略,能够使滚转角减小95.69%,过载系数降低34.06%,两级缓冲自适应起落架在面对复杂地形时具备主动调节姿态安全着陆的地形适应能力和极好的减震缓冲能力。     

超声速变马赫数风洞流场参数线性变化验证

旋转喷管型面使超声速变马赫数风洞在单次运行过程中可连续调节实验区的马赫数,便于研究飞行器的机动过程、进气道起动过程中的气动问题。在控制喷管型面旋转过程中,流场参数能否线性变化是衡量超声速变马赫数风洞性能的一个重要指标。分析变马赫数风洞实验区流场参数的线性变化规律,利用弹簧光顺的动网格技术建立数值仿真模型,验证喷管位于马赫数3.041~3.215 范围所对应的位置时,实验区流场参数是否满足线性变化规律。结果表明：通过对喷管型面旋转的控制实现了风洞实验区流场参数的线性变化,动态计算结果与预期实验区流场参数线性变化规律吻合良好;在不同加速度的流场参数线性变化过程中,各时刻实验区的平均参数与预期参数之间的偏差均小于0.13%。     

直升机主起落架疲劳试验技术研究

以直升机主起落架疲劳试验为对象，对试验内容、试验方法、试验实施及试验结果进行分析。通过试验验证确定了起落架的疲劳危险区域，并为优化零件结构提供了依据。     

某型教练机起落架信号电路改进设计

针对某型教练机存外场使用时出现起落架未放到位，而飞行员却没能及时发现的问题，本文对飞机起落架信号电路进行了分析，并提出了相应的改进措施。     

小型电磁辐射敏感度自动测试系统的设计

介绍电磁辐射敏感度自动测试系统组成、工作原理和设计方法，叙述了硬件配置、系统控制、数据采集处理等软件设计。其中较详细地介绍了光纤式场强数据采集部分的设计。     

客机起落架件号和改装标识分析

针对客机起落架件号不同的OEM标识规则进行对比分析,明确了起落架在进行翻修和改装的件号标识规则,提出了起落架组件和零件的标识方法,对于起落架日常维护、改装、翻修以及让步修理工作进行规范的刻号和标识具有重要参考价值,为相关人员快速识别起落架构型和改装状态提供了工具,同时也给互换性评估人员对起落架的识别提供了一定思路。     

Rio de la Plata estuarine system: Relationship between river flow and frontal variability

This paper deals with the application of SeaWIFS images to characterize spatial and temporal variability of fronts in the Rio de la Plata estuarine system over the period 2000–2003. We aim to depict the relationship between river outflow and variability of fronts’ loci on monthly to ENSO-related timescales and the influence of the winds along Rio de la Plata (axial winds) on the abrupt changes in frontal dynamics over synoptic timescales. During the studied period both La Niña (July 1999–June 2000) and El Niño (April 2002–May 2003) events induced significant displacements of fronts. Three distinct fronts were analyzed between river, estuarine, coastal and marine waters of the Rio de la Plata: Main Turbidity Front, Main Marine Front, and Secondary Marine Front. Their number, location and separation seem to be mainly related to river outflow and second, to fresh (>8 m/s) axial winds. During low discharge periods (i.e. summer time and/or La Niña events) these winds induce abrupt changes in the location of fronts (100–200 km) and greater separation between them over synoptic timescale, whereas during high river discharge or ENSO years some of the variability of fronts location is explained by the river’s outflow fluctuations, especially by the high variability of the River Uruguay discharge.     

Hypothesis-test-based landcover change detection using multi-temporal satellite images – A comparative study

Remote sensing images and technologies have been widely applied to environmental monitoring, in particular landuse/landcover classification and change detection. However, the uncertainties involved in such applications have not been fully addressed. In this paper two hypothesis-test-based change detection methods, namely the bivariate joint distribution method and the conditional distribution method, are proposed to tackle the uncertainties in change detection by making decisions based on the desired level of significance. Both methods require a data set of class-dependent no-change pixels to form the basis for class-dependent hypothesis test. Using an exemplar study area in central Taiwan, performance of the proposed methods are shown to be significantly superior to two other commonly applied methods (the post-classification comparison and the image differencing methods) in terms of the overall change detection accuracies. The conditional distribution method takes into consideration the correlation between digital numbers of the pre- and post-images and the effect of the known pre-image digital number on the range of the post-image digital number, and therefore yields the highest change detection accuracy. It is also demonstrated that the class-dependent change detection is crucial for accurate landuse/landcover change detection.