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.     

车用磁流变减振器动力性能实验分析

MRF阻尼器结构简单、体积小、能耗低、反应迅速且阻尼力可调范围广, 已经成为新型履带车辆半主动悬挂系统优先选择的方案。基于磁流变液体本构关系的Bingham模型,对影响车用磁流变减振器的阻尼力的各种因素进行了综合分析。对自行研制的双出杆剪切阀式磁流变减振器进行了实验研究,获得了不同振幅、频率、电流强度下的阻尼力变化曲线,从不同的侧面获得了MRF阻尼器的动力性能。结合Hrovat限界最优半主动控制算法和车辆悬挂系统振动的半主动控制策略,仿真分析了磁流变阻尼器对整车振动的控制效果,并与LQR控制结果作了比较。     

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。     

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。     

电子产品在振动环境中的损伤效应研究

在分析电子装备结构特点及冲击振动环境影响因素基础上,阐述了电子产品在冲击振动环境中的损伤机理与模式。以某型雷达装备为试验对象,选取该装备某型组合体与电路板进行冲击振动与扫频振动试验,分析了电子产品在振动环境中的损伤规律。试验表明:电子产品在振动环境中的损伤不仅与振动类型及幅值有关,也与其自身结构有着密切的关系。     

基于小波变换的海面红外弱小目标检测中实时性研究

针对凝视型红外预警系统在复杂海面背景下对弱小信号检测的实时性问题,提出了压缩监测区域、危险度分级、舍弃小波变换后的低频分量部分和检测图像中的零信号4种优化型算法,减少了系统的运算量,提高了系统的运算速度,满足了系统实时性的要求,并且降低了系统的虚警率,保证了系统对强起伏背景的抑制效果。