软件无线电的可重构流处理器体系结构

 针对软件无线电中存在通用数字信号处理器（DSP）计算能力不足以及专用基带处理器缺乏扩展性的问题,提出了一种新的处理器：面向软件无线电的可重构流处理器及相应的专用指令集。仿真证明,该处理器的可重构设计具备指令集扩展能力,可以对多种无线通信标准甚至是新的通信标准提供支持;面向软件无线电的流体系结构和专用指令集保证了对多种高速无线基带信号的实时处理,运算能力是通用DSP的5~13倍。该处理器为软件无线电中的硬件设计难题提供了一种新的解决途径。     

航空发动机风扇转子叶片外物损伤I.鸟撞击试验研究(英文)

本文改进了叶片鸟撞击试验条件。对某型发动机风扇一级转子叶片进行了鸟撞击试验。通过对叶片的鸟撞击瞬态响应分析和撞击前后叶片叶型变化的分析,验证了风扇一级转子叶片的抗鸟撞击性能,为某型发动机风扇转子叶片的抗外物损伤设计提供了依据。     

瞬态平面热源法热物理性能测量精度和适用范围的标定——常温下标准材料奥氏体不锈钢的热物理性能对比测试

瞬态平面热源法作为一种非稳态热物理性能测试技术，其测量范围、测量精度和试验参数的确定是正确评价和应用这种测试技术的前提条件。本文详细描述了采用瞬态平面热源法测量装置对热物理性能标准材料奥氏体不锈钢所进行的比对测试，并由此考察这种测试方法和测试装置的测量精度和适用范围。     

金属薄板超声无损检测

介绍了金属薄板的缺陷类型，建立了超声喷水穿透C扫描系统和检测方法。检测试验结果表明：采用建立的系统和方法能够检测出厚度≤6mm金属薄板中的分层性缺陷。     

微量钪对Al-Zn-Mg-Zr焊接接头组织性能的影响

采用铸锭冶金法制备了 Al-6.0Zn-2.0Mg-0.12Zr 和 Al- 6.0Zn - 2.0Mg - 0.2Sc - 0.12Zr 两种合金板材,以 Al-Mg-Sc-Zr焊丝为焊接填充材料,对3 mm厚的上述两种合金板材进行氩弧焊接,之后对两种接头的显微组织和力学性能进行对比研究.结果表明:第一,微量Sc可以显著提高Al-Zn-Mg-Zr合金基材的拉伸性能,基材强度的提高来源于晶粒细化强化、Al3(Sc,Zr)粒子的析出强化和Al3(Sc,Zr)粒子引起的亚结构强化;第二,焊接过程中,不含 Sc 的合金焊接接头热影响区内η相(MgZn2)粒子和晶粒明显粗化,含 Sc的合金焊接接头热影响区内η相(MsZn2)粒子也明显粗化,但晶粒大小没有明显变化,由于Al3(Sc、Zr)粒子稳定性高,不容易粗化和团聚,对位错和亚晶界仍然起钉扎作用,热影响区仍然保持未再结晶组织,过时效软化现象相对于传统的铝镁合金来说不是很严重;第三,微量 Sc 可以明显提高 Al-Zn-Mg-Zr 合金焊接接头的强度,与不加 Sc 的合金焊接接头相比,添加Sc的合金拉伸强度从395 MPa提高到447 MPa,强度系数从 0.7 提高到0.8.强度的提高主要来源于晶粒细化强化、Al3(Sc,Zr)粒子的析出强化和由于Al3(Sc,Zr)粒子的高稳定性导致的的抗热循环软化能力的提高.     

Foreign Object Damage to Fan Rotor Blades of Aeroengine Part Ⅱ： Numerical Simulation of Bird Impact

Bird impact is one of the most dangerous threats to flight safety. The consequences of bird impact can be severe and, therefore, the aircraft components have to be certified for a proven level of bird impact resistance before being put into service. The fan rotor blades of aeroengine are the components being easily impacted by birds. It is necessary to ensure that the fan rotor blades should have adequate resistance against the bird impact, to reduce the flying accidents caused by bird impacts. Using the contacting-impacting algorithm, the numerical simulation is carded out to simulate bird impact. A three-blade computational model is set up for the fan rotor blade having shrouds. The transient response curves of the points corresponding to measured points in experiments, displacements and equivalent stresses on the blades are obtained during the simulation. From the comparison of the transient response curves obtained from numerical simulation with that obtained from experiments, it can be found that the variations in measured points and the corresponding points of simulation are basically the same. The deforming process, the maximum displacements and the maximum equivalent stresses on blades are analyzed. The numerical simulation verifies and complements the experiment results.     

旋转机翼悬停气动特性研究

鸭式旋转机翼(CRW)是一种先进的高速直升机方案,旋翼同时也是机翼,是其最关键气动部件之一。采用结构分区拼接网格技术进行空间离散,分区建立参考系,通过求解多重参考系下的N-S方程来计算旋翼流场,首先以传统的Caradonna-Tung实验旋翼的亚、跨声速悬停流场分析为例验证该方法的可靠性,进而采用该方法对旋转机翼悬停流场进行了数值计算,旋翼拉力计算值和地面实验值吻合较好,结果分析表明旋转机翼的悬停流场有着不同于传统旋翼的流场特性。     

超高负荷涡轮叶栅叶顶间隙流动特征及间隙高度的影响

采用数值模拟方法研究了超高负荷涡轮叶栅叶顶间隙流动特征,详细分析了泄漏涡、叶顶分离涡、上通道涡等的流动细节,在此基础上分析间隙高度对流场特征和叶片负荷的影响.结果表明:超高负荷涡轮叶栅叶顶间隙区域存在多种形式的流动分离,泄漏流非常强烈,不仅直接影响上通道涡的形成与发展,使通道涡整体向叶根移动,而且部分泄漏流进入下通道涡;随着间隙高度增加,叶顶分离涡和泄漏涡均明显增强,叶片负荷尤其是叶顶负荷有所降低.      

Adaptive Gaussian sum squared-root cubature Kalman filter with split-merge scheme for state estimation

The paper deals with state estimation problem of nonlinear non-Gaussian discrete dynamic systems for improvement of accuracy and consistency. An efficient new algorithm called the adaptive Gaussian-sum square-root cubature Kalman filter（AGSSCKF） with a split-merge scheme is proposed. It is developed based on the squared-root extension of newly introduced cubature Kalman filter（SCKF） and is built within a Gaussian-sum framework. Based on the condition that the probability density functions of process noises and initial state are denoted by a Gaussian sum using optimization method, a bank of SCKF are used as the sub-filters to estimate state of system with the corresponding weights respectively, which is adaptively updated. The new algorithm consists of an adaptive splitting and merging procedure according to a proposed split-decision model based on the nonlinearity degree of measurement. The results of two simulation scenarios（one-dimensional state estimation and bearings-only tracking） show that the proposed filter demonstrates comparable performance to the particle filter with significantly reduced computational cost.     

Robust fault-tolerant control for wing flutter under actuator failure

Many control laws, such as optimal controller and classical controller, have seen their applications to suppressing the aeroelastic vibrations of the aeroelastic system. However, those control laws may not work effectively if the aeroelastic system involves actuator faults. In the current study for wing flutter of reentry vehicle, the effect of actuator faults on wing flutter system is rarely considered and few of the fault-tolerant control problems are taken into account. In this paper, we use the radial basis function neural network and the finite-time H_∞ adaptive fault-tolerant control technique to deal with the flutter problem of wings, which is affected by actuator faults, actuator saturation, parameter uncertainties and external disturbances. The theory of this article includes the modeling of wing flutter and fault-tolerant controller design. The stability of the finite-time adaptive fault-tolerant controller is theoretically proved. Simulation results indicate that the designed fault-tolerant flutter controller can effectively deal with the faults in the flutter system and can promptly suppress the wing flutter as well.