计算机辅助装配公差分析的探讨

探讨了将公差分析纳入到设计过程中,并对设计过程中公差取值进行指导的可行性,在用Pro/E在计算机上进行产品预装配的过程中利用公差分析中的最坏情况分析法、统计分析法、敏感分析法、百分比贡献分析法以及Pro/E软件中的CE/TOL(公差分析)模块对所设计的零件和零件装配的全过程进行公差分析与综合,确定零件的公差在装配过程中影响关键尺寸公差的约束及其敏感度,通过改变个别零件的关键尺寸的公差约束来降低制造成本,减少发生干涉和精度超标的概率,提高装配精度。     

培养创新人才 完善学分制势在必行

随着经济一体化,国家与国家竞争归根到底是人才创新和创造能力的竞争,我国高校如何培养与时代发展趋势相适应的创新人才,完善学分制势在必行。本文从现行学分制存在的问题入手,揭示现行学分制教学管理模式对培养学生创新能力的制约,阐述了为培养创新人才如何进一步完善学分制教学管理模式的措施。     

攻击机动目标的非线性H∞制导律研究

应用非线性H∞控制理论,在建立导弹与目标相对运动数学模型的基础上,研究了一种拦截机动目标的鲁棒H∞制导律.这种鲁棒H∞制导律将目标的机动加速度视为有界的外界扰动输入,导弹的加速度视为控制输入,实现了导弹制导的鲁棒性.仿真表明,这种鲁棒H∞制导律具有很好的鲁棒性和良好的拦截效果,能够有效地拦截机动目标.     

跨模态行人重识别的对称网络算法

针对模态间差异,提出基于对称网络的跨模态行人重识别算法,该网络将基于概率分布的模态混淆与对抗学习结合,通过对称网络产生模态不变特征,从而达到模态混淆的目的;针对外观差异和模态内差异,使用不同隐藏层的网络卷积特征构造混合三元损失,提高网络的特征表征能力.RegDB和SYSU-MM01数据集上的大量实验结果表明了该方法的有...     

耐1200℃陶瓷瓦重复使用性能

针对目前比较成熟的耐1 200℃陶瓷瓦开展了1 200℃多次重复热处理,研究了陶瓷瓦的结构和性能演变行为和重复使用性能。结果表明:1 200℃热处理20次后,耐1 200℃陶瓷瓦表现出良好的宏观热稳定性;重复热处理过程中,纤维间烧结,黏接熔融和石英纤维析晶及晶粒长大,使纤维直径发生变化,出现缩颈,进而导致了Z向收缩,收缩率达14%,从而使得压缩强度略有增大,隔热性能降低;经过1 260℃、11次单面辐射加热后,Z向收缩率为5.58%,隔热效果降低了7.59%,但隔热材料能够在6次重复加热后保持材料隔热性能不降低。     

光滑物体表面反射光偏振特征分析及反射光分离技术

物体表面反射光由镜面反射光和漫反射光组成,针对光滑物体表面镜面反射光和漫反射光的分离问题,建立了一个结合镜面反射和漫反射共同作用的偏振态表征模型,并使用该模型对混合反射区域偏振特征进行分析。基于镜面反射光和漫反射光的偏振特征,根据镜面反射光和漫反射光在光滑物体表面垂直方向及平行方向上的分布关系,采用偏振正交分解的方法实现了镜面反射成分和漫反射成分的求解。利用镜面反射光图像和漫反射光图像之间的相关性,通过梯度下降算法得到镜面反射成分和漫反射成分归一化互相关最小值及其对应的镜面反射偏振度和漫反射偏振度,从而实现反射光的分离。通过对不同场景中获取的反射光图像进行测试,实验结果表明,该算法具有较好的反射光分离效果。     

军事领域细粒度识别技术与应用

战争的信息化程度不断加深对军事侦察提出了更高要求。军事目标识别作为军事侦察的主要任务之一,需要能够处理细粒度军事目标,为人员提供更加详细的目标信息。但传统的粗粒度目标识别方法无法得到目标的细粒度信息。因此,如何识别细粒度目标成为目前军事侦察亟需解决的问题。针对该问题,本文结合军事领域的实际需求,对细粒度识别技术的发展现状进行了分析,提出了军事领域细粒度识别技术应用流程的数据集构建、模型设计和终端部署三个阶段,同时,从无人机侦察、遥感侦察和单兵侦察三个方向分析了细粒度识别的应用前景。经过分析,军事领域细粒度识别技术已经具备实际运用条件,具备良好的应用价值。     

Robust cubature Kalman filter method for the nonlinear alignment of SINS

Nonlinear initial alignment is a significant research topic for strapdown inertial navigation system(SINS).Cubature Kalman filter(CKF)is a popular tool for nonlinear initial alignment.Standard CKF assumes that the statics of the observation noise are pre-given before the filtering process.Therefore,any unpredicted outliers in observation noise will decrease the stability of the filter.In view of this problem,improved CKF method with robustness is proposed.Multiple fading factors are introduced to rescale the obser-vation noise covariance.Then the update stage of the filter can be autonomously tuned,and if there are outliers exist in the observations,the update should be less weighted.Under the Gaussian assumption of KF,the Mahalanobis distance of the innovation vector is supposed to be Chi-square distributed.Therefore a judging index based on Chi-square test is designed to detect the noise outliers,determining whether the fading tune are required.The proposed method is applied in the nonlinear alignment of SINS,and vehicle experiment proves the effective of the proposed method.     

The effect of al particle size on thermal decomposition,mechanical strength and sensitivity of Al/ZrH2/PTFE composite

To study the thermal decomposition of Al/ZrH2/PTFE with different Al particle size as well as mechanical strength and impact sensitivity under medium and low strain rates, molding-vacuum sintering was adopted to prepare four groups of power materials and cylindrical specimens with different Al particle size. The active decomposition temperature of ZrH2 was obtained by TG-DSC, and the quasi-static me-chanics/reaction characteristics as well as the impact sensitivity of the specimen were studied respec-tively by quasi-static compression and drop-hammer test. The results show that the yield strength of the material decreased with the increase of the Al particle size, while the compressive strength, failure strain and toughness increased first and then decreased, which reached the maximum values of 116.61 MPa, 191％, and 119.9 MJ/m respectively when the Al particle size is 12—14μm because of particle size grading. The specimens with the highest strength and toughness formed circumferential open cracks and reacted partly when pressed. Those with developmental cracks formed inside did not react. It is considered that fracture of specimens first triggered initial reaction between Al and PTFE to release an amount of heat. Then ZrH2 was activated and decomposed, and participated in subsequent reaction to generate ZrC. The impact sensitivity of the specimens decreased with the increase of Al particle size.     

Interval uncertain optimization for damping fluctuation of asegmented electromagnetic buffer under intensive impact load

Aiming at the problems of demagnetization effect of electromagnetic buffer (EMB) caused by high ve-locity under intensive impact load and the difficulty and error of machining composite thin-walled long tube, a segmented EMB is proposed. The inner tube and air-gap are divided into initial segments and the traversing segments. Through theoretical analysis, impact test and simulation, it can be found that the RRF curve has two peaks. Firstly, in order to reduce the resultant resistance force (RRF) peaks, the sensitivity analysis based on optimal Latin hypercube design (OLHD) and polynomial regression was performed. The results show that the smallest contribution ratio to the dynamic response is the seventh and ninth segments of the inner tube, which are less than 1％. Then, fully considering the uncertain factors, important parameters are selected for uncertain optimization after sensitivity analysis. The in-terval order and interval probability degree methods are used to establish interval uncertain optimiza-tion model of the RRF considering robustness. The model was solved using an interval nested optimization method based on radial basis function (RBF) neural network. Finally, the Pareto front is obtained and numerical simulation is performed to verify the optimal value. It indicates that the two kinds of RRF peak is obviously reduced, and the optimization object and strategy are effective.