An interface shear damage model of chromium coating/steel substrate under thermal erosion load

The Cr-plated coating inside a gun barrel can effectively improve the barrel's erosion resistance and thus increase the service life.However,due to the cyclic thermal load caused by high-temperature gun-powder,micro-element damage tends to occur within the Cr coating/steel substrate interface,leading to a gradual deterioration in macro-mechanical properties for the material in the related region.In order to mimic this cyclic thermal load and,thereby,study the thermal erosion behavior of the Cr coating on the barrel's inner wall,a laser emitter is utilized in the current study.With the help of in-situ tensile test and finite element simulation results,a shear stress distribution law of the Cr coating/steel substrate and a change law of the interface ultimate shear strength are identified.Studies have shown that the Cr coating/steel substrate interface's ultimate shear strength has a significant weakening effect due to increasing temperature.In this study,the interfacial ultimate shear strength decreases from 2.57 GPa(no erosion)to 1.02 GPa(laser power is 160 W).The data from this experiment is employed to establish a Cr coating/steel substrate interface shear damage model.And this model is used to predict the flaking process of Cr coating by finite element method.The simulation results show that the increase of coating crack spacing and coating thickness will increase the service life of gun barrel.     

Visual SLAM in dynamic environments based on object detection

A great number of visual simultaneous localization and mapping (VSLAM) systems need to assume static features in the environment. However, moving objects can vastly impair the performance of a VSLAM system which relies on the static-world assumption. To cope with this challenging topic, a real-time and robust VSLAM system based on ORB-SLAM2 for dynamic environments was proposed. To reduce the influence of dynamic content, we incorporate the deep-learning-based object detection method in the visual odometry, then the dynamic object probability model is added to raise the efficiency of object detection deep neural network and enhance the real-time performance of our system. Experiment with both on the TUM and KITTI benchmark dataset, as well as in a real-world environment, the results clarify that our method can significantly reduce the tracking error or drift, enhance the robustness, accuracy and stability of the VSLAM system in dynamic scenes.     

基于电流变液的火炮反后坐技术研究

根据火炮反后坐装置的技术特点和电流变液的力学性能,从理论上分析了电流变液技术用于火炮反后坐装置的可行性,设计了简易电流变液驻退装置的结构和控制策略,并对关键的技术问题进行了探讨。     

基于模糊均值聚类算法的图像分割

将图像直方图统计特性引入到FCM聚类算法的目标函数中,用混合粒子群优化算法对目标函数进行全局最优求解,提高了图像分割的运算速度。     

装备表面现代维修保养技术研究

结合装备表面智能维修保养技术方面的研究成果,介绍了装甲装备故障智能检测技术、自适应、自修复功能材料,装甲装备器材全自动保养设备等先进技术,侧重装备维修保养阐述了如何提高信息化程度,推进军队武器装备维修保养技术的现代化建设。     

防锈剂对两栖装甲装备溶剂型防锈油抗盐雾性能的影响

为优选出适用于两栖装甲装备溶剂型防锈油的防锈剂,先后进行了防锈剂的单因素试验和正交试验。通过盐雾试验,考察了几种防锈剂及其复合防锈剂的抗盐雾性能。结果发现,由质量分数为6%的羊毛脂镁皂、10%的石油磺酸钡、2%的二壬基萘磺酸钡和5%的N-油酰基氨酸十八胺组成的复合防锈剂具有优异的抗盐雾性能。     

电力市场环境下AGC的一种仿真方法

在电力市场环境下,AGC不仅要使系统频率保持稳定,而且要使各个发电单元输出电力满足市场合同要求。在现有AGC系统的基础上,对频率偏差的因子的取值进行了分析,建立起清晰、简明、便于分析的数学模型,直观地展现了系统内各个环节的相互关系,为AGC系统的运行和调整提供了数学依据;并通过对模型的计算机仿真,反映出不同情况下系统的动态性能和稳态性能。     

用于纯方位机动目标跟踪的机动探测法

假设目标在某时刻发生折线机动,并且目标在机动前后都是做匀速直线运动。所提出的机动探测算法通过探测这种变化得到探测时刻。这种算法是基于对方位预测误差的均值变化进行分析的。然后估计出目标机动时刻,并从机动时刻起重新设置滤波器,估计出目标机动后的运动参数。典型的机动TMA态势仿真结果表明,该算法对于一般的目标折线机动可以有效地进行跟踪。     

用于纯方位目标运动分析的泰勒级数法

以泰勒级数法的理论模型为基础,研究它在纯方位TMA中的应用问题。将泰勒级数法与高斯-牛顿法相结合,得到一种混合泰勒级数法。这种混合方法简单易懂,计算并不复杂。经蒙特卡罗仿真研究,其性能可与高斯-牛顿法相比较,对于有些态势甚至在收敛时间以及解算效果上要优于高斯-牛顿法。算法性能反映在一些典型的TMA态势上。     

NCES服务发现体系研究及我军发展建议

为占有信息优势,进而占有决策优势,美军在总结近年实际战争经验的基础上,提出服务发现体系结构。在深入研究美军NCES(net-centerenterpriseservice)服务发现体系结构的基础上,分析了NCES的背景和发展趋势,NCES服务发现体系结构的含义和优势,其视图、关键技术和不足等。借鉴美军建设该体系结构的思想与发展趋势,立足我军实际情况,建设我军自己的服务发现体系结构。有助于提高我军信息获取能力,为占有决策优势提供强有力的支持。