Dimensional Variation Modeling of Aircraft Compliant Part Assembly Considering Clamping Force Change

Compliant parts are widely applied to aircraft structures. Due to the ease of deformation of compliant parts in assembly,the prediction of assembly variation is especially important for assembly quality control. A dimensional variation model considering the clamping force change in assembly is proposed based on the method of influence coefficient(MIC). First,the assembly process is decomposed into several steps including positioning,clamping,joining,and spring-back. Then,the force-displacement relationship is formulated according to the varied force conditions on the parts in each assembly step. Finally,two examples are illustrated to validate the proposed assembly variation model. The results show the impact of clamping force change is significant on the assembly variation,and the proposed model can predict the assembly variation more accurately than the referred method without clamping force correction at the over-constrained locating points of fixture.     

湿热环境下复合材料层合板本构模型研究及其应用

近年来复合材料被广泛地应用于航空航天等工程领域。在实际的使用中,复合材料在不同的湿热环境下其力学性能会发生显著变化,针对这一问题,国内外已有大量的试验研究,而对湿热环境下复合材料的本构模型理论的研究则较少。在经典层合板理论基础上引入湿热膨胀系数的概念,通过定义一个无量纲的温度,建立材料弹性常数与湿热参数之间的函数关系,推导出复合材料单层板在湿热力耦合作用下的本构关系,同时加入三维Hashin失效判定准则对层合板的损伤演化及失效模式进行模拟。结果表明:该模型较好地预测了复合材料层合板在不同湿热环境下的弹性响应,为分析实际工程中复合材料结构模型在湿热环境下的力学行为提供了重要参考。     

Biomass-Derived Nitrogen and Sulfur Co-Doped 3D Carbon Networks with Interconnected Meso-Microporous Structure for High-Performance Supercapacitors

Three-dimensional(3D)carbon networks have been explored as promising capacitive materials thanks to their unique structural features such as large ion-accessible surface area and interconnected porous networks,thus enhancing both ions and electrons transport.Here,sustainable bacterial cellulose(BC)is used both precursor and template for facile synthesis of free-standing N,S-codoped 3Dcarbon networks(a-NSC)by the pyrolysis and activation of polyrhodanine coated BC.The synthesized a-NSC shows highly conductive interconnected porous networks(24S·cm~(-1)),large surface area(1 420m~2·g~(-1))with hierarchical meso-microporosity,and high-level heteroatoms codoping(N:3.1%in atom,S:3.2%in atom).Benefitting from these,a-NSC as binder-free electrode exhibits an ultrahigh specific capacitance of 340F·g~(-1)(24μF·cm~(-2))at the current density of 0.5A·g~(-1)in 6MKOH electrolyte,high-rate capability(71%at 20A·g~(-1))and excellent cycle stability.Furthermore,the assembled symmetrical supercapacitor displays a much short time constant of 0.35sin 1MTEABF4/AN electrolyte,obtaining a maximum energy density of 32.1W·h·kg~(-1 )at power density of 637W·kg~(-1).The in situ multi-heteroatoms doping enables biocellulose-derived carbon networks to exploit its full potentials in energy storage applications,which can be extended to other dimensional carbon nanostructures.     

做好高校科研管理工作的几点思考

高校科研管理工作,是高校管理工作中一个非常重要的组成部分。本文分析了民航高校科研管理中存在的问题,并对问题进行探讨,最后提出了新形势下科研管理的创新对策,以此推动高校科研管理的发展。     

线性模拟量数据采集系统准确度的一种评价方法

采用一种新的准确度表述方法来评价数据采集系统的准确度；同时讨论了该方法的数据采集系统各种误差与现有指标的兼容性问题。     

用DYL电路实现模糊控制器方案探讨

DYL电路为模糊控制器的硬件化提供了新手段。本文根据模糊控制器的算法原理,提出了用DYL电路实现模糊控制器的理论方案,并针对理论方案电路复杂的缺点,介绍了三种简化方案,并对它们进行了分析和比较,其中的两种方案还进行了仿真实验。本文给出的例子是对某型导弹横侧向运动的模糊控制,意在探索模糊控制在航空中应用的可能性。     

嵌入式隐Markov模型的分段训练方法

针对嵌入式隐Markov模型再学习问题,提出了分段训练方法用于人脸识别:把当前的训练样本看作整体训练样本的一部分,训练结束后存储训练后的模型参数和中间变量;增加新样本后,以当前模型参数作为初始模型参数,用新增样本训练模型,得到新的中间变量,最后将已存储的中间变量和用新样本计算得到的中间变量合成,得到最终的模型.人脸识别实验结果表明了该方法的可行性.      

高超声速风洞气动力试验技术进展

高超声速技术是未来航空航天技术的制高点,而高超声速风洞气动力试验是为高超声速飞行器设计和性能评估提供可靠数据不可或缺的重要技术手段。介绍了高超声速气动力试验设备种类和国内外典型的风洞设备,并分析了目前的发展现状。对国内高超声速风洞气动力试验相关测量技术、试验技术、试验数据评估和高超声速气动力标模体系等研究进展进行了总结。同时,还就高超声速气动力试验设备、气动力试验相关技术的未来发展趋势进行了探讨。     

Multi-view space object recognition and pose estimation based on kernel regression

The application of high-performance imaging sensors in space-based space surveillance systems makes it possible to recognize space objects and estimate their poses using vision-based methods. In this paper, we proposed a kernel regression-based method for joint multi-view space object recognition and pose estimation. We built a new simulated satellite image dataset named BUAA-SID 1.5 to test our method using different image representations. We evaluated our method for recognition-only tasks, pose estimation-only tasks, and joint recognition and pose estimation tasks. Experimental results show that our method outperforms the state-of-the-arts in space object recognition, and can recognize space objects and estimate their poses effectively and robustly against noise and lighting conditions.     

CAN总线在航空领域应用的探讨

本文从Controller Area Network(CAN)总线的特点出发,通过将CAN总线与机载领域应用最成熟的1553B总线进行对比,分析了在航空领域,尤其是在航空机电系统中,局部采用CAN总线的可行性.然后从可靠性和实时性两个方面指出了CAN总线需要在机载适应性上进行的改进.最后结合国外已经发布的CANaero...