基于常规发动机发展STOVL推进系统的总体性能方案

结合F135-PW-600发动机构型,开展基于常规涡扇发动机发展短距起飞/垂直降落(STOVL)推进系统的总体性能方案研究,分析了影响性能方案的各升力部件参数,完成了针对总升力提升的方案优化。研究结果表明:以提高总升力为目标,升力风扇应选取低功耗、小压比、大流量的参数组合;滚转喷管引气量应由风扇裕度、滚转力及其力矩控制需求共同决定;增加外涵道调节机构和重新设计低压涡轮等措施,可将推进系统总升力最高提升近20%;保持主发动机部件不变,通过多学科优化设计,综合考虑质量等结构参数及耗油率等性能参数影响,可使短垂推进系统净收益提升近20%。     

桥式槽处理机匣的扩稳机理研究

利用数值模拟的手段对桥式槽处理机匣的失速机制和扩稳机理进行研究。通过与实壁机匣和全通槽处理机匣的对比分析结果表明:叶尖泄漏和叶片吸力面的分离均会引起叶尖通道堵塞,进而诱发失速。在实壁机匣情况下叶尖泄漏流堵塞叶尖通道是诱发失速的主要原因;全通槽和桥式槽处理机匣均能减弱叶尖泄漏流强度,但是全通槽处理机匣加剧了吸力面的分离,这造成了较大的效率损失;而桥式槽处理机匣能够通过改变抽吸区和喷气区的面积大小控制泄漏流和分离流引发的流道堵塞,从而在裕度提升和效率损失之间取得平衡。研究表明:喷气区面积越大,叶尖攻角越大,吸力面分离越强,压气机效率越低;抽吸区面积越大,泄漏流越弱,压气机的失速裕度越大。     

低速轴流压气机周向单槽机匣处理扩稳实验研究

周向槽机匣处理作为一种有效的扩稳措施得到了广泛应用,但是缺乏对其机理的深入理解和认识。为此,在一台低速单转子轴流压气机上考察了周向单槽机匣处理随轴向位置变化的扩稳效果。实验中获得了单槽不同轴向位置的扩稳规律,在该台压气机上得出了扩稳效果最好的槽位于40%~60%轴向弦长,而当单槽位于27%轴向弦长附近时,其扩稳效果最差。在此基础上,选取了最优扩稳槽位和最差扩稳槽位进行详细的壁面非定常流场测量和尾迹测量,对比分析了光壁条件与各单槽处理机匣对叶顶间隙泄漏流和转子尾迹的影响。结果表明,采用扩稳效果最优槽位之后,周向单槽能推迟叶顶间隙泄漏流与主流交界面前移,以及减弱叶顶间隙泄漏流非定常性,且能明显增强尾迹区1BPF(叶片通过频率)的能量,同时减弱0.5BPF的能量,达到扩稳的目的。而对于扩稳效果最差槽位而言,叶顶间隙泄漏流与主流交界面直到失速前也无法跨过单槽从叶片前缘溢出,周向单槽改变了叶顶间隙内部诱发突尖失速先兆的扰动传播方式;另外,其对转子尾迹区0.5BPF和1BPF的影响也比较小,从而使得其扩稳效果减弱。     

驻涡式处理机匣对跨声速压气机扩稳的数值模拟

提出了一种驻涡式处理机匣结构,通过叶片通道前后以及叶片压力面和吸力面共同作用的压差,驱动流体产生回流.将通道后部的附面层流体吸除,然后在叶片前缘注入,增大叶尖泄漏流内的动量,从而达到扩稳的效果.该设计将抽气槽与喷气槽的方向和主流流动方向设计成一致方向,以减少掺混损失.此外,该处理机匣在轴向上完全在转子叶片内部,不需要前伸量,因而可以方便地应用于多级压气机中的任何一级,而不会和静子叶片发生干涉.通过数值模拟对这一设计进行了验证,结果表明该处理机匣可以扩大跨声速压气机转子裕度17.39%,而对效率不会产生明显的影响.      

"北斗"陆基增强系统岸台同步技术研究

导航信号同步技术是无线电导航系统的关键技术.本文介绍了"北斗"陆基增强系统的技术方案,对该系统导航信号同步技术进行了分析.利用"北斗"单向授时技术实现导航台时钟同步;采用CPLD器件设计同步脉冲提取电路及同步调整电路;利用直接频率合成技术产生高精度、高稳定度的扩频伪码时钟.实测数据分析表明,通过"北斗"授时可以保证陆基增强系统的导航台链具有较高的时钟同步精度.     

一种基于优化设计的动目标检测方法及其运用

提出一种新的动目标检测(MTD)滤波器组设计方法,即通过设置目标处理通道和气象处理通道,其中目标通道采用自适应动目标检测(AMTD)处理方式,实时检测杂波的存在,根据杂波的强弱自动产生或选择滤波器加权因子,以保证抑制地杂波的同时,减少信噪比损失,提高对弱小目标的检测性能。仿真结果证明该方法是有效的,且在工程上有一定的实用价值。     

高校共青团基层团支部能力建设初探

本文对目前高校基层团支部存在的现象进行了剖析,并对加强高校共青团基层团支部能力建设提出了几点粗浅的看法,以求进一步提高基层团支部的创造力、凝聚力和战斗力。     

Research on the Algorithm of Avionic Device Fault Diagnosis Based on Fuzzy Expert System

Based on the fuzzy expert system fault diagnosis theory, the knowledge base architecture and inference engine algorithm are put forward for avionic device fault diagnosis. The knowledge base is constructed by fault query network, of which the basic element is the test-diagnosis fault unit. Every underlying fault cause’s membership degree is calculated using fuzzy product inference algorithm, and the fault answer best selection algorithm is developed, to which the deep knowledge is applied. Using some examples, the proposed algorithm is analyzed for its capability of synthesis diagnosis and its improvement compared to greater membership degree first principle.     

Characteristics of surface and subsurface of formed thread parts by axial-infeed thread rolling process

The thread rolling process has been widely applied to manufacture high-performance thread parts. In this process, the evolutions of surface and subsurface are frequently introduced, which affect the working performance of manufactured parts. In this study, an axial-infeed thread rolling process (ATRP) is employed, and the macro-meso surface characteristics under different lubrications and operating conditions are investigated. Moreover, the distributions of microstructure and hardness on the subsurface of formed tooth are analyzed in detail, along with the study of stress state and yield strength change. It is found that the MoS₂ grease is more effective in reducing the surface roughness and defects than the lubrication oil and water-base graphite during the ATRP process. Increasing rolling speed improves the quality of surface morphology and can reduce the surface roughness. On the subsurface of bottom and flank, intensive shear stress occurs in a narrow region, resulting in the elongation and refinement of the grains and increasing the low angle grain boundary fraction. Based on the grain size and plastic strain, the yield strength is predicted. The maximum yield strength and hardness on the bottom of formed tooth are improved by 41.2% and 39.4%, respectively.     

Performance improvement of licklider transmission protocol in complex deep space networks based on parameter optimization

A reasonable parameter configuration helps improve the data transmission performance of the Licklider Transmission Protocol (LTP). Previous research has focused mainly on parameter optimization for LTP in simplified scenarios with one to two hops or multihop scenarios with a custody mechanism of the Bundle Protocol (BP). However, the research results are not applicable to communications in Complex Deep Space Networks (CDSNs) without the custody mechanism of BP that are more suitable for deep space communications with LTP. In this paper, we propose a model of file delivery time for LTP in CDSNs. Based on the model, we propose a Parameter Optimization Design Algorithm for LTP (LTP-PODA) of configuring reasonable parameters for LTP. The results show that the accuracy of the proposed model is at least 6.47% higher than that of the previously established models based on simple scenarios, and the proposed model is more suitable for CDSNs. Moreover, the LTP parameters are optimized by the LTP-PODA algorithm to obtain an optimization plan. Configuring the optimization plan for LTP improves the protocol transmission performance by at least 18.77% compared with configuring the other parameter configuration plans.