窄分布纳米级HMX的制备及粒度分析

通过撞击法成功地制备了窄分布的纳米级HMX。实验结果表明，分散剂1和分散剂2能改善HMX的粒度分布。在分散剂1存在的条件下，用撞击法可制备出粒度分布较窄的纳米HMX颗粒，其d50分别为70．1nm和68．9nm，分布范围分别为0．9nm和1．4nm。     

2 AU以内的“渐进型”太阳高能粒子事件模拟

太阳高能粒子（Solar Energetic Particle,SEP）事件是影响地球空间以及深空辐射环境的主要因素之一。“渐进型”太阳高能粒子事件中的高能粒子主要来自于日冕物质抛射（Coronal Mass Ejection,CME）所驱动的激波扩散加速（Diffusive Shock Acceleration,DSA）过程。CME驱动的激波在行星际的传播过程中,其结构不断演化,进而影响到高能粒子的加速过程。本文利用二维太阳高能粒子加速和传播模型,对发生于2014年4月18日的太阳高能粒子事件实例进行了数值模拟。模型考察了黄道面上2 AU的距离以内包含地球所在位置的4个不同点,分别计算了每个点上高能粒子的通量。数值模拟的结果表明：黄道面内不同位置的观察点,与激波波前的磁力线连接不同,从而导致观察点处高能粒子的通量有着显著的差异。该模型的计算结果可以为深空探测计划开展辐射环境研究提供必要的输入。     

Modelling ignition probability with pairwise mixing-reaction model for flame particle tracking

Reduced order models for ignition analysis can offer insights into ignition processes and facilitate the combustor optimization. In this study, a Pairwise Mixing-Reaction (PMR) model is formulated to model the interaction between the flame particle and the surrounding cell mixture during Lagrangian flame particle tracking. Specifically, the model accounts for the two-way coupling of mass and energy between the flame particle and the surrounding shell layer by modelling the corresponding turbulent mixing, chemical reaction and evaporation process if present. The state of a flame particle, e.g., burnt, hot gas or extinguished, is determined based on particle temperature. This model can properly describe the ignition process with a spark kernel being initiated in a nonflammable region, which is of practical importance in certain turbine engines and has not been rigorously accounted for by the existing models based on the estimation of local Karlovitz number. The model is integrated into an ignition probability analysis platform and is demonstrated for a methane/air bluff-body flame with the flow and fuel/air mixing characteristics being extracted from a non-reacting simulation. The results show that for the spark location being at the extreme fuel-lean outer shear layer of the recirculation zone, PMR can yield ignition events with a significant number of active flame particles. The mechanisms for the survival of the initial flame particles and the entrainment of the survived flame particles into the recirculation zone are analyzed. The results also show that the ignition probability map from PMR agrees well with the experimental observation: a high ignition probability in the shear layer of the recirculation zone near the mean stoichiometric surface, and low ignition probabilities inside the recirculation zone and the top stagnation region of the recirculation zone. The parametric study shows that the predicted shape of the ignition progress factor and ignition probability is in general insensitive to the model parameters and the model is adequate for quantifying the regions with high ignition probabilities.     

Inverse identification of constitutive parameters of Ti2AlNb intermetallic alloys based on cooperative particle swarm optimization

Ti₂AlNb intermetallic alloy is a relatively newly developed high-temperature-resistant structural material, which is expected to replace nickel-based super alloys for thermally and mechanically stressed components in aeronautic and automotive engines due to its excellent mechanical properties and high strength retention at elevated temperature. The aim of this work is to present a fast and reliable methodology of inverse identification of constitutive model parameters directly from cutting experiments. FE-machining simulations implemented with a modified Johnson-Cook (TANH) constitutive model are performed to establish the robust link between observables and constitutive parameters. A series of orthogonal cutting experiments with varied cutting parameters is carried out to allow an exact comparison to the 2D FE-simulations. A cooperative particle swarm optimization algorithm is developed and implemented into the Matlab programs to identify the enormous constitutive parameters. Results show that the simulation observables (i.e., cutting forces, chip morphologies, cutting temperature) implemented with the identified optimal material constants have high consistency with those obtained from experiments, which illustrates that the FE-machining models using the identified parameters obtained from the proposed methodology could be predicted in a close agreement to the experiments. Considering the wide range of the applied unknown parameters number, the proposed inverse methodology of identifying constitutive equations shows excellent prospect, and it can be used for other newly developed metal materials.     

短裂纹的裂纹尺寸分布密度函数与耐久性设计

给出了一个极为简单的近似方法, 只要依据亚音速机翼在t-= 0 时的f Ej i ( 0) 和t-= ts 时的 f Eij ( t-s) 值即可求得非定常空气动力系数的两个主导极点值, 避免了必须先计算出机翼的任一个气 动力系数指数函数, 然后经过拟合才能求出两个主导极点值的繁琐作法。 关键词　非定常流, 机翼, 气动力系数, 指数函数.     

Radiative properties of alumina/aluminum particles and influence on radiative heat transfer in solid rocket motor

The thermal radiation of micron-sized condensed phase particles plays a dominant role during the heat transfer process in aluminized Solid Rocket Motors（SRMs）. Open research mainly focuses on the radiative properties of alumina particles while the study considering the presence of aluminum is lacking. In addition, the thermal radiation inside the SRM with consideration of the participating particles is seldom studied. In this work, the multiscale method of predicting the thermal environment insi...     

固体推进剂定淬息距离凝相燃烧产物收集方法

含铝固体推进剂凝相燃烧产物对发动机的能量特性、热防护以及燃烧稳定性均有重要影响.为了排除燃烧过程中推进剂燃面退移造成的凝相燃烧产物淬息距离逐渐增大的影响,设计并建立了一套基于恒定淬息距离的凝相燃烧产物收集系统,并通过典型丁羟四组元推进剂凝相燃烧产物的收集和分析,对该收集方法进行了校验.结果表明,淬息距离恒定使得凝相燃烧...     

基于卷积盲分离的强干扰下通信信号分离算法

针对目前通信辐射源个体识别算法在实际试验中由于各类干扰信号和多径衰落导致识别率较低的问题,提出一种用于识别算法前端的信号分离算法,可有效地减少其他电磁信号对于识别算法输入信号的影响,从而提高在复杂电磁环境中通信辐射源个体识别的正确识别率。该算法将灾变策略和搜索状态的自适应引入量子粒子群算法,通过对混合信号的联合对角化从截获的观测信号中提取出目标通信辐射源的有用信号。为了更加系统、直观地衡量算法的分离效果,提出分离熵来量化算法的整体性能。仿真结果表明,该分离算法可以把目标通信辐射源的有用信号从复杂电磁环境中提取出来,从而提高通信辐射源个体识别在复杂电磁环境中的正确识别率,具有较好的可行性和有效性。     

发射系下SINS/GPS/CNS组合导航系统联邦粒子滤波算法

传统的扩展卡尔曼滤波(Extended Kalman filter, EKF)算法应用于未来高超、空天飞行器的组合导航系统时,因其模型线性化展开会导致模型不准确,从而引起导航精度下降;采用蒙特卡洛方法来实现递推贝叶斯估计问题的粒子滤波(Particle filter,PF)算法能有效避免引入线性化误差,具有一定的优势。据此,针对高超、空天飞行器在发射过程中通常需要直接获得发射惯性系下的高精度导航参数的需求,提高发射惯性系下弹载组合导航系统滤波算法的精确性就尤为重要,PF滤波算法无需对非线性系统进行线性化展开即可直接实现对非线性系统的状态误差估计。为此,本文将PF滤波算法引入空天飞行器SINS/GPS/CNS多信息融合组合导航系统,设计了发射系下基于联邦滤波器的PF滤波算法,实现了对组合导航系统状态参数的直接建模估计。算法仿真结果表明,相较于发射系下SINS/GPS/CNS组合导航系统联邦EKF滤波算法,PF滤波算法有效提高了组合导航系统滤波精度。