高强度玻璃纤维研究与应用

高强玻璃纤维是特种功能玻璃纤维中应用最广的一种,具有强度高、耐高温、抗冲击、透波高、耐腐蚀等优异的综合性能,在高性能复合材料及耐热材料领域应用广泛.     

多无人机同时到达的分散化控制方法

多无人机(UAV)同时到达是典型的协同控制问题,在编队飞行、协同攻击中都有应用。以多无人机协同多目标攻击为应用背景,对多无人机同时到达问题进行了研究。考虑到战场环境的动态性和不确定性以及无人机自身的特点,提出一种适用于多无人机同时到达的分散化控制方法,其内容包括仅依靠局部信息交互的分散化控制结构和基于一致性算法的分散化控制策略。为方便操作员控制无人机群体的整体行为,分别设计了引入外部参考信号和虚拟Leader的分散化控制策略。根据路径规划和速度控制的不同特点将二者结合起来,利用它们的互补优势来应对路径误差和突发威胁等不利因素的影响。仿真结果表明,本文提出的分散化控制方法能够实现多无人机同时到达,并且具有很好的灵活性、鲁棒性、可靠性和可伸缩性。     

某型发动机高压涡轮叶片叶尖裂纹修复工艺研究

采用激光熔焊法,排除了某型发动机高压涡轮工作叶片叶尖裂纹超标及开口型叶尖裂纹故障。对修理后的叶片进行了热冲击试验考核,考核证明了修复后的高压涡轮工作叶片可满足发动机工作要求。     

氧化锆陶瓷基高温自润滑材料

为了,解决较宽温域范围内特别是高温下材料的润滑问题,本文采用热压烧结方法制备了一系列含各种不同固体润滑剂(Mo、MoS2、BaF2、CaF2、BaF2/CaF2、CuO)的氧化锆基高温自润滑陶瓷复合材料.其中ZrO2(Y2O3)-Mo-BaF2/CaF2系列复合物在800 ～1 000℃表现出较低的摩擦因数,在1 000℃摩擦因数低至0.28左右,已接近工程应用的许用值;另一种ZrO2(Y2O3)-MoS2-CaF2系列复合物同SiC陶瓷球对磨时在800～1 000℃内摩擦因数为0.30 ～0.22,具有较好的摩擦磨损性能.     

Adaptive double chain quantum genetic algorithm for constrained optimization problems

Optimization problems are often highly constrained and evolutionary algorithms(EAs)are effective methods to tackle this kind of problems. To further improve search efficiency and convergence rate of EAs, this paper presents an adaptive double chain quantum genetic algorithm(ADCQGA) for solving constrained optimization problems. ADCQGA makes use of doubleindividuals to represent solutions that are classified as feasible and infeasible solutions. Fitness(or evaluation) functions are defined for both types of solutions. Based on the fitness function, three types of step evolution(SE) are defined and utilized for judging evolutionary individuals. An adaptive rotation is proposed and used to facilitate updating individuals in different solutions.To further improve the search capability and convergence rate, ADCQGA utilizes an adaptive evolution process(AEP), adaptive mutation and replacement techniques. ADCQGA was first tested on a widely used benchmark function to illustrate the relationship between initial parameter values and the convergence rate/search capability. Then the proposed ADCQGA is successfully applied to solve other twelve benchmark functions and five well-known constrained engineering design problems. Multi-aircraft cooperative target allocation problem is a typical constrained optimization problem and requires efficient methods to tackle. Finally, ADCQGA is successfully applied to solving the target allocation problem.     

总经理致辞

亲爱的旅客：您好!非常高兴与您相逢在中国国际航空公司的班机上!感谢您选择乘坐国航的航班，对于您给予国航安全服务品质的信赖，我们感到不胜荣幸。     

总经理致辞

亲爱的旅客:您好!非常高兴与您相逢在中国国际航空公司的班机上!感谢您选择乘坐国航的航班,对于您给予国航安全服务品质的信赖,我们感到不胜荣幸。作为我国唯一载国旗的航空公司的一名高级管理者,我每时每刻都感到自己使命光荣,更感到责任重大。目前,国航已     

总经理致辞

亲爱的旅客:您好!非常高兴与您相逢在中国国际航空公司的班机上!感谢您选择乘坐国航的航班,对于您给予国航安全服务品质的信赖,我们感到不胜荣幸。     

邹炳锁 材料科学专家

<正>作为材料科学与工程领域的专家,您主持研究的许多成果达到了国内领先、国际先进水平,请您介绍一下您所从事的研究工作及取得的研究成果和进展。邹炳锁:我们开展的工作主要是半导体的光电行为,探索其在能     

Drogue detection for autonomous aerial refueling based on convolutional neural networks

Drogue detection is a fundamental issue during the close docking phase of autonomous aerial refueling(AAR). To cope with this issue, a novel and effective method based on deep learning with convolutional neural networks(CNNs) is proposed. In order to ensure its robustness and wide application, a deep learning dataset of images was prepared by utilizing real data of ‘‘Probe and Drogue" aerial refueling, which contains diverse drogues in various environmental conditions without artificial features placed on the drogues. By employing deep learning ideas and graphics processing units(GPUs), a model for drogue detection using a Caffe deep learning framework with CNNs was designed to ensure the method's accuracy and real-time performance. Experiments were conducted to demonstrate the effectiveness of the proposed method, and results based on real AAR data compare its performance to other methods, validating the accuracy, speed, and robustness of its drogue detection ability.