纳秒激光微刻蚀取向硅钢的形貌特征及磁性能

为有效降低取向硅钢铁损、改善其磁性能，采用红外纳秒激光对取向硅钢进行微刻蚀试验。利用3D共聚焦显微镜、扫描电镜与能谱仪研究典型工艺参数下的硅钢表面烧蚀形貌特征及表面质量，利用铁损仪测试不同刻蚀参数下取向硅钢的铁损、相对磁导率等磁性能参数及动态磁滞回线，对比分析刻痕前后磁性能的变化行为、规律及磁滞特性。结果表明：激光刻痕后，硅钢的铁损、相对磁导率、矫顽力及剩磁等性能得到明显改善，铁损的改善表现在高磁感强度下、相对磁导率的改善表现在低磁场强度下，回线特性得到优化。扫描速度为800 mm/s、脉冲能量为0.25 mJ时，刻痕边界呈近似规则的“波浪线”，且刻痕表面质量较高，铁损降低高达11.6%、剩磁降低12.8%等；刻痕后相对相对磁导率明显提高，提高约为5.7%~15.16%，最大可达2.598×10⁴。激光频率与扫描速度的耦合关系是影响刻痕边界形状与磁畴细化效果的重要因素。     

3D FE simulation for temperature evolution in the selective laser sintering process

A thermal model of selective laser sintering (SLS) has been developed. The model allows for the non-linear behavior of thermal conductivity and of specific heat due to temperature changes and phase transformations. The temperature evolution and the formation of the sintered part are simulated by a 3D finite element analysis based on continuous media theory. It is shown that the effect of sintering has a strong influence on thermal evolution through changing the thermal properties of the material. The results of the model were experimentally tested and confirmed by temperature measurements.     

喷涂与激光重熔技术制备镍基纳米钴包碳化物复合涂层的研究

采用横流2．0kW CO2激光器，在45钢表面制备了表面较平整、较细密、基本消除了裂纹与孔隙并与基体呈冶金结合的镍基纳米WC／Co复合涂层。通过SEM，EDAX，XRD，AFM及Nano Indenter XP分析了熔覆层的显微组织、成分、物相及结合强度。结果表明，涂层的显微组织为涂层中镶嵌着大量与Ni基合金结合良好的WC／C。颗粒，其中在原子力显微镜下可见相当数量的粒度≤100μm的纳米颗粒。涂层的结合强度比传统热喷涂涂层提高了2．1倍。涂层中纳米WC／Co的纳米效应在激光熔覆中起着重要作用。     

型材挤压平模应力场的研究

采用三维光弹应力冻结法,模拟研究挤压平模的三维应力场,得到了矩形模、T形模σx、σy、σz在XY面上和沿高向的分布规律.同时采用多元回归统计分析法,对试验结果进行拟合,建立了应力场模型,为挤压模具设计提供参考.     

溶胶-凝胶法制备LiCoxMn2-xO4及电化学性能研究

采用溶胶-凝胶(sol-gel)法制备了颗粒较小(100～300nm)、分布均匀的尖晶石LiCoxMn2-xO4粉体,研究了不同掺杂水平对其结构及电化学性能的影响.结果表明,掺杂少量Co于LiMn2O4中并不改变材料的尖晶石结构;随着Co掺杂量增加,材料结构稳定性提高,极化降低,首次放电比容量逐渐减小,但充放电循环性能却明显改善;在低温(500℃)条件下退火6h后,LiCoxMn2-xO4粉体的放电比容量稍有增加,但对循环性能影响不大;在电流密度0.1mA/cm2和截止电压3.5～4.4V时,LiCo0.1Mn1.9O4粉体首次放电比容量达123mAh/g,20次循环后的稳定放电比容量为106mAh/g,具有较好的电化学性能.     

Fast, externally triggered, digital phase controller for an optical lattice

We present a method to control the phase of an optical lattice according to an external trigger signal. The method has a latency of less than 30 μs. Two phase locked digital synthesizers provide the driving signal for two acousto-optic modulators which control the frequency and phase of the counter-propagating beams which form a standing wave (optical lattice). A micro-controller with an external interrupt function is connected to the desired external signal, and updates the phase register of one of the synthesizers when the external signal changes. The standing wave (period λ/2 = 390 nm) can be moved by units of 49 nm with a mean jitter of 28 nm. The phase change is well known due to the digital nature of the synthesizer, and does not need calibration. The uses of the scheme include coherent control of atomic matter-wave dynamics.     

基于改进RX算法的高光谱异常检测

针对RX算法中局部背景协方差矩阵估计的局限性,提出一种改进的RX (I-RX)异常检测算法。基于奇异值分解(SVD),将高光谱图像投影到背景的正交子空间上,获得仅包含噪声和异常的残留图像。在此基础上,通过计算各样本的空间秩深度将残留图像划分为噪声背景和潜在异常两个样本集,利用噪声背景集估计整幅图像的背景协方差矩阵,并将潜在异常集作为测试样本进行异常检测。对模拟数据和真实高光谱数据进行了实验仿真,ROC曲线表明,在相同的虚警概率下,I-RX算法的检测概率相较于RX平均提高了2倍左右。     

A New Discriminant Principal Component Analysis Method with Partial Supervision

Principal component analysis (PCA) is one of the most widely used unsupervised dimensionality reduction methods in pattern recognition. It preserves the global covariance structure of data when labels of data are not available. However, in many practical applications, besides the large amount of unlabeled data, it is also possible to obtain partial supervision such as a few labeled data and pairwise constraints, which contain much more valuable information for discrimination than unlabeled data. Unfortunately, PCA cannot utilize that useful discriminant information effectively. On the other hand, traditional supervised dimensionality reduction methods such as linear discriminant analysis perform on only labeled data. When labeled data are insufficient, their performances will deteriorate. In this paper, we propose a novel discriminant PCA (DPCA) model to boost the discriminant power of PCA when both unlabeled and labeled data as well as pairwise constraints are available. The derived DPCA algorithm is efficient and has a closed form solution. Experimental results on several UCI and face data sets show that DPCA is superior to several established dimensionality reduction methods.     

基于时间放大的光盘抖晃测试系统设计

利用TIA(时序分析仪)或其它模拟方法来测量光盘的抖晃存在成本高、灵活性差、稳定性低等不足,而在实际的光盘生产测试过程中,更需要一种升级扩展方便、性价比高的测试设备。在粗糙脉宽检测方法的基础上,引入时间放大电路,成功地设计出一套以FPGA为核心,基于PCI Express总线的抖晃测试系统;实验表明,该系统具有结构简单、精度高、设计灵活、成本低等特点,在光盘测试和抖晃特性研究方面具有较好的应用价值和一定的市场前景。