汽车消声器筒体与制造设备

介绍了单层纵缝焊接简体、单层纵缝咬边简体和缠绕式点焊筒体等3种类型的汽车消声器筒体及其制造设备的原理、结构、性能与特点．     

支承座三工序复合冲压模具

介绍一种新型支承座三工步复合冲压模具的结构、工作原理、主要工作部件的设计技术和参数计算。使用此种模具，可以在一个工步中完成支承座毛坯的落料、冲孔和弯曲成形，生产效率高，工艺质量好。     

角分辨紫外光电子谱仪校正因子的测量和计算

测量并分析计算了角分辨紫外光电子谱仪的电子能量分析器的聚焦特性 ,分析计算了紫外光斜入射时光电信号的校正因子。结果表明 :偏离分析器聚焦中心 β角的光电子被分析器接收的几率为高斯函数exp( - β2 /β0 2 ) ,且 β0 =3.5° ;斜入射光电信号的校正因子是光入射角α的函数且大于cosα     

SAR image formation via semiparametric spectral estimation

A new algorithm, referred to as the SPAR (Semiparametric) algorithm, is presented herein for target feature extraction and complex image formation via synthetic aperture radar (SAR). The algorithm is based on a flexible data model that models each target scatterer as a two-dimensional (2-D) complex sinusoid with arbitrary unknown amplitude and constant phase in cross-range and with constant amplitude and phase in range. By attempting to deal with one corner reflector, such as one dihedral or trihedral, at a time, the algorithm can be used to effectively mitigate the artifacts in the SAR images due to the flexible data model. Another advantage of SPAR is that it can be used to obtain initial conditions needed by other parametric target feature extraction methods to reduce the total amount of computations needed. Both numerical and experimental examples are provided to demonstrate the performance of the proposed algorithm     

高效液力偶合器轮系参数分析研究

高效液力偶合器额定工况无滑差的特点，使大功率（＞ ３００ ｋ Ｗ ）液力偶合器发热问题得到根本解决。就其设计方法进行分析，提出了斗轮及斗叶数的确定方法，并通过样机试验了解该偶合器的特性。     

非结构混合网格自适应并行技术

计算流体力学（CFD）模拟实际工程问题所采用的网格规模可达千万量级，并行技术是减少计算时间的有效方法。耦合流场信息的网格自适应技术能有效动态优化计算网格，被NASA视为一项亟待发展的CFD关键技术。混合网格自适应系统包含网格分布优化、表面网格投影和空间网格匹配等关键技术。针对以上3项关键技术分别建立了高效的并行算法。首先，提出了"先唯一后同一"的两步法策略实现了网格单元分布优化过程的并行相容性；其次，基于局部曲面拟合思想，实现了曲面重构和新增物理网格点投影的完全并行；再次，提出了空间网格匹配技术的半并行算法，快速解决了网格单元交错问题。为了提高后续流场计算的并行效率，发展了基于并行重分区-网格数据迁移方法的动态负载平衡技术，并采用圆柱激波流场自适应模拟对动态负载平衡技术进行初步验证。最后，采用三角翼自适应加密测试了自适应系统的并行效率。结果表明，建立的混合网格自适应系统并行效率较高，且相比流场求解耗费总时间的比例低于1%。     

典型直升机完整性维持关键技术需求分析研究

典型直升机是实施立体突击作战的重要力量，在火力支援、立体补给、综合勤务保障等方面发挥着重要作用。针对其构造形式和作战使用要求，直升机在低空超低空低速执行任务时，使用场景中面临低空和地面的多种威胁，致使其服役环境和作战环境更加恶劣。本文通过分析直升机在作战中面临的威胁特点，阐述在直升机设计和使用维护过程中，综合防护能力、环境适应能力、战伤抢修能力对直升机作战完整性的影响，通过合理设计机体结构，提升生存能力，提升海上、高原、沙尘等环境适应能力，建立完备的战伤抢修能力来保证直升机使用的完整性，满足使用需求。     

Kalman filtering for GPS/magnetometer integrated navigation system

This paper investigated the data processing method for a GPS/IMU/magnetometer integrated system with Kalman filtering (KF). As a result of GPS/IMU/magnetometer land vehicle system, dead-reckoning of magnetometer and accelerometer integrated subsystem bridged very well the GPS signal outage due to the trees on the two sides of the road. Both differential GPS data processing method and the carrier-phase method with magnetometers’ outputs for predicting the car position, velocity, and acceleration (PVA) are presented. The results from DGPS with Kinematical Positioning (KINPOS) software shown that the averages of the north, east, and down direction standard deviation (short for “std”) are 0.014, 0.010, and 0.018 m, respectively. The std of velocities and accelerations derived by the position and velocity differentiation are 10, 7, 13 mm/s, 7, 5, 9 mm/s², respectively. This method for getting velocities and accelerations requires higher accurate position coordinates. But the position accuracy has frequently been degraded in this case when the car drove under the trees or other similar kinematical environments. That caused the larger velocity and acceleration errors. While the results from the carrier-phase method are std of the velocities = 2.1 mm/s, 1.3 mm/s, 3.7 mm/s in north, east, down, and std of the accelerations = 1.5 mm/s², 0.9 mm/s², 2.3 mm/s² for the static test period; as compared with KINPOS software results, std of the velocity difference between the carrier-phase method and the DGPS method = 7 mm/s, 6.9 mm/s, 9.7 mm/s in north, east, down direction, and std of acceleration difference = 5.0 mm/s², 4.5 mm/s², 7.5 mm/s² in north, east, down direction for the kinematical test period. Obviously, errors come from both the carrier-phase method and DGPS velocity and acceleration results derived directly by the position differentiation. In addition, better accuracy of positions than that before KF has been got by means of velocities and accelerations derived by the carrier-phase method after KF.     

基于有效中转时间预测的不正常航班恢复技术

不正常航班恢复问题研究通常基于固定航班中转时间，忽视了实际航班中转时间的改变对航班恢复带来的影响。对此，依据全国235个机场的全部运营航班数据抽取机场-航班特征，构建了基于LightGBM的航班中转时间预测模型，预测航班的有效中转时间，数值结果显示，航班中转时间预测模型预测的均方根误差为6.783 min。构造了基于有效中转时间的不正常航班恢复模型，并针对性地设计了求解该模型的列向量生成算法，构造的模型通过取消、改变计划时间、更换飞机等方式，分别在最小化航班延误时间、取消个数、换飞机个数的目标下，解决机场流量下降、机场关闭、飞机维修等不正常条件下的航班恢复问题。通过航空公司实际运行数据测试证明，基于有效中转时间预测的不正常航班恢复技术有效，在大规模航班恢复的情况下，可以将总延误时间减少34.2%。将列向量生成算法与时空网络算法的结果进行对比，所提出的恢复方法能降低航班恢复代价。      

固体超强酸TiO2/SO2-4催化合成苹果酯-B

使用TiO2/SO2-4为催化剂,催化乙酰乙酸乙酯和1,2-丙二醇反应合成苹果酯-B.结果表明:使用该催化剂1.0 g,乙酰乙酸乙酯(0.077 mol)与1,2-丙二醇摩尔比为1∶1.2,环己烷15 ml,反应2.5 h,苹果酯-B产率达73%.产品经理化检验确认.