Numerical analysis of broadband noise reduction with wavy leading edge

Large Eddy Simulation(LES) is performed to investigate the airfoil broadband noise reduction with wavy leading edge under anisotropic incoming turbulence. The anisotropic incoming turbulence is generated by a rod with a diameter of 10 mm. The incoming flow velocity is 40 m/s and the corresponding Reynolds numbers based on airfoil chord and rod diameter are about 397000 and 26000, respectively. The far-field acoustic field is predicted using an acoustic analogy method which has been validated by the experiment. A straight leading edge airfoil and a wavy leading edge airfoil are simulated. The results show that wavy leading edge increases the airfoil lift and drag whereas the lift and drag fluctuations are substantially reduced. In addition, wavy leading edge can significantly change the flow pattern around the leading edge and a pair of counter-rotating streamwise vortices stemming from each wavy leading edge peak are observed.An averaged noise reduction of 9.5 dB is observed with the wavy leading edge at the azimuthal angle of 90°. Moreover, the wavy leading edge can mitigate noise radiation at all the azimuthal angles without significantly changing the noise directivity. The underlying noise reduction mechanisms are then analyzed in detail.     

涡轮与冲压组合动力高温进气预冷特性

针对涡轮基冲压组合循环发动机中高温进气影响涡轮发动机性能的问题,开展实际某高空模拟试验进气预冷段的数值分析。基于欧拉-拉格朗日多相流方法解析气液两相热质传输过程,探索射流冷却对不同高空高马赫数进气条件时预冷段内温度和压力的沿程变化规律。结果表明,射流冷却对流场具有明显地温降效果。带有射流装置的预冷段内流动损失是以由黏性耗散所引起的耗散熵产为主,而由气-液传热温差所引起流场温度梯度变化的加热熵产并不显著。对比高空模拟试验进气工况在射流量4%~7%的冷却效果发现,预冷段内气流温降程度为32.30~90.08 K,冷却前后总压降系数范围由1.42%~1.86%降低到0.95%~1.46%。因此,射流冷却技术在一定程度上改善涡轮发动机在高空高马赫数工作时进气流场特性。      

改进节点积分的无单元Galerkin法及其在流动问题中的应用

无单元Galerkin法需要在背景网格上积分,计算量大,且在求解对流占优问题时会出现非物理的数值伪振荡现象。为此,基于局部Taylor展开思想,采用节点处的局部Taylor展开计算积分,建立了局部Taylor展开积分无单元Galerkin法。该方法同时解决了标准的无单元Galerkin法计算量大和对流占优时会出现数值伪振荡的问题。一维定常对流扩散方程和二维Burgers方程的求解说明了该方法的有效性,且计算效率远高于无单元Galerkin法。     

有机-无机Nano-SiO2/DCPDCE杂化材料的性能

为解决传统商用nano-SiO2粒子在双环戊二烯型氰酸酯(DCPDCE)树脂基体中容易团聚的问题,利用Sol-Gel法制备的有机-无机nano-SiO2为填料对DCPDCED进行改性。研究了有机-无机nano-SiO2含量对nano-SiO2/DCPDCE杂化材料力学性能、介电常数、介电损耗因子的影响。结果表明:有机-无机nano-SiO2较商用nano-SiO2在DCPDCE中分散更优;当有机-无机纳米SiO2含量为3.0wt%时,杂化材料的综合性能最优。     

Damage characteristics and constitutive modeling of the 2D C/Si C composite: Part I – Experiment and analysis

This paper reports an experimental investigation on the macroscopic mechanical behaviors and damage mechanisms of the plain-woven(2D) C/Si C composite under in-plane on- and offaxis loading conditions. Specimens with 15, 30, and 45 off-axis angles were prepared and tested under monotonic and incremental cyclic tension and compression loads. The obtained results were compared with those of uniaxial tension, compression, and shear specimens. The relationships between the damage modes and the stress state were analyzed based on scanning electronic microscopy(SEM) observations and acoustic emission(AE) data. The test results reveal the remarkable axial anisotropy and unilateral behavior of the material. The off-axis tension test results show that the material is fiber-dominant and the evolution rate of damage and inelastic strain is accelerated under the corresponding combined biaxial tension and shear loads. Due to the damage impediment effect of compression stress, compression specimens show higher mechanical properties and lower damage evolution rates than tension specimens with the same off-axis angle. Under cyclic tension–compression loadings, both on-axis and off-axis specimens exhibit progressive damage deactivation behaviors in the compression range, but with different deactivation rates.     

Imaginary filtered hindsight experience replay for UAV tracking dynamic targets in large-scale unknown environments

As an advanced combat weapon, Unmanned Aerial Vehicles (UAVs) have been widely used in military wars. In this paper, we formulated the Autonomous Navigation Control (ANC) problem of UAVs as a Markov Decision Process (MDP) and proposed a novel Deep Reinforcement Learning (DRL) method to allow UAVs to perform dynamic target tracking tasks in large-scale unknown environments. To solve the problem of limited training experience, the proposed Imaginary Filtered Hindsight Experience Replay (IFHER) generates successful episodes by reasonably imagining the target trajectory in the failed episode to augment the experiences. The well-designed goal, episode, and quality filtering strategies ensure that only high-quality augmented experiences can be stored, while the sampling filtering strategy of IFHER ensures that these stored augmented experiences can be fully learned according to their high priorities. By training in a complex environment constructed based on the parameters of a real UAV, the proposed IFHER algorithm improves the convergence speed by 28.99% and the convergence result by 11.57% compared to the state-of-the-art Twin Delayed Deep Deterministic Policy Gradient (TD3) algorithm. The testing experiments carried out in environments with different complexities demonstrate the strong robustness and generalization ability of the IFHER agent. Moreover, the flight trajectory of the IFHER agent shows the superiority of the learned policy and the practical application value of the algorithm.     

激光选区熔化成型316L不锈钢工艺参数研究

针对激光选区熔化成型316L不锈钢工艺参数选择问题,采用单因素条件变量分析法,在激光选区熔化过程中,分析了激光功率、扫描速度对316L不锈钢成型零件表面粗糙度、致密度、硬度和尺寸偏差的影响规律。结果表明:当激光功率降低或者扫描速度提高时,内部能量密度减小,粉末熔化量减少,试样表面球化效应增强,孔隙缺陷增多,试样致密度减小、硬度降低;当激光功率提高或者扫描速度降低时,内部能量密度增大,粉末被过度烧蚀,产生较大的尺寸偏差,所形成熔道易塌陷,导致层间结合较差,试样性能降低。当激光功率为300 W、扫描速度为1000 mm/s时,能量密度适中,形成了较好的冶金结合,抗拉强度可达753 MPa,上表面硬度HRB能达到97.22。该项研究为316L不锈钢激光选区熔化工艺参数的合理选择提供了参考。     

Investigation of flow unsteadiness in a highly-loaded compressor cascade using a dynamic mode decomposition method

Unsteady flow in the hub endwall region has long been a hot topic in the turbomachinery community. However important it is to the performance of the whole engine, the coherent unsteady flow phenomena are still not well understood. In this paper, the complex flow field in the hub endwall of a cantilevered compressor cascade has been investigated through numerical approach. The predicted results were validated by experimental data. To highlight the dominant flow structures among irregular and chao...     

Effect of hygrothermal aging on moisture diffusion and tensile behavior of CFRP composite laminates

Carbon Fiber Reinforced Polymer (CFRP) composites are widely used in aircraft structures, because of their superior mechanical and lightweight properties. CFRP composites are often exposed to hygrothermal environments in service. Temperature and moisture can affect the material properties of composites. In order to make clear the moisture diffusion behavior and the properties degradation of composites, the TG800/E207 composite laminates with four stacking sequences [0]₁₆, [90]₁₆, [±45]_4s, and [(+45/0/0/–45)_s]_s are designed and manufactured. Moisture absorption tests are carried out at 80 ℃, 90 %RH. It is shown that the moisture absorption curves of composite laminates present a three-stage. A modified Fickian model was proposed to capture the diffusion behavior of TG800/E207 composite laminates. The relationships among the non-Fickian parameters, the environmental parameters and the stacking sequences of CFRP were correlated and compared. Results showed that the modified Fickian curve is sensitive to the diffusivity of Stage I and Stage II. Compared with unaged specimens, the maximum tensile stress for [0]₁₆, [90]₁₆, [±45]_4s, and [(+45/0/0/–45)_s]_s decreased by 14.94 %, 28.15 %, 11.96 %, and 26.36 %, respectively. The strains at failure for [0]₁₆, [90]₁₆, [±45]_4s, and [(+45/0/0/–45)_s]_s decreased by 55.38 %, 62.65 %, 46.41 %, and 31.71 %, respectively. The elastic modulus for [0]₁₆, [90]₁₆, [±45]_4s, and [(+45/0/0/–45)_s]_s increased by 90.93 %, 94.57 %, 49.22 %, and 8.22 %, respectively. [90]₁₆ sample has the minimum saturated moisture content and the maximum strength degeneration.     

在轨高效目标检测加速技术

针对深度卷积网络目标检测算法参数量大、计算量大以及受星上计算资源、存储资源及功耗的限制，难以实现在轨部署的问题，提出了一种在轨高效目标检测算法加速框架与实现方法。首先，设计了一种可以同时兼容三种卷积算子的计算引擎，有效提高了资源利用率;其次，从通道和卷积核两个维度将目标检测算法模型展开，实现了加速器的高度并行化和可扩展性;最后，在多种FPGA平台上实现了该加速器并对其性能进行了评估。实验结果表明：所提出的加速器计算性能可以达到1843.2 GFLOPs(每秒千兆次浮点运算)，推理时间为0.22 ms。与同类加速器方案相比，所提出的加速器框架在性能、功耗、能效比及推理时间方面具有很大优势，适合部署在资源受限环境中，具有良好的星上应用前景和价值。