Preparation and Properties of Amorphous NiFe/Cu/NiFe Thin Films

The amorphous of Permalloy on the copper subtract was studied using composite electroplating method. A portion of hydrogen brings the counteraction on the surface of cathode leading nickel-iron alloys to be anomalous in the process of co-depositing. The results of X-ray diffraction (XRD) show that the Ni-Fe alloys layer is amorphous. The Giant Magneto -Impedance (GMI) effect of Ni-Fe alloys was obtained under the optimal conditions, dependence on the soft magnetic property of Ni-Fe amorphous thin film. As a result, the ratios△ Z/Z of NiFe/Cu/NiFe amorphous thin film are 30% at 40 kHz which is in low frequency. Furthermore, the GMI value of NiFe/Cu/NiFe amorphous thin film with a sandwich structure is higher than that of single-layer ferromagnetic films of the same thickness.     

铸渗表面合金化层的组织与性能研究

论述了ＺＧ４５铸钢铸渗表面合金化层组织与性能的研究结果，并对其形成机制进行了初步探讨。     

Study of Physical Properties of SiCw/Al Composites During Unloaded Thermal Cycling

The thermal expansion coefficient of SiCw/Al composites squeeze cast during unloaded thermal cycling was determined and analyzed. The study had shown that the thermal expansion coefficient of SiCw/Al composites reduced greatly with temperature raising. The thermal expansion coefficient of artificial ageing treatment SiCw/Al composites during unloaded thermal cycling reduced gradually, while the thermal expansion coefficient of squeezing SiCw/Al composites increased gradually. In addition, the thermal expansion coefficient of SiCw/Al composites reduced drastically with fiber fraction increasing.     

基于最小变量的B-样条移动机器人路径规划研究

为解决移动机器人在避障时的曲线优化问题,提出了基于最小变量的B-样条路径规划方法。对该方法从数学模型上进行了推导,指出了该方法相对于其它B-样条方法的优点,并对该方法进行了优化,给出了相应的优化算法。研究表明：具有最小变量的B-样条函数比只用B-样条函数定义的曲线具有更优化的线性约束,其曲线具有更好的光滑性。     

基于异常样品剔除的酒醅近红外定量分析模型的精度提升

目的 利用异常识别算法识别出原数据集中存在的奇异点,以建立预测精度更高的酒醅定量分析模型。方法 采用集群分析思维,利用马氏距离、主成分马氏距离、蒙特卡罗交叉验证法对108个样本进行异常样品识别及剔除,以光谱-理化值共生距离算法进行样品集的划分,划分比例为3:1。结果 酒醅水分近红外定量分析模型经马氏距离处理后预测精度达到最高,预测相关系数上升了0.43%,预测均方根误差下降了6.94%;酒醅酸度近红外定量分析模型经马氏距离处理后预测精度达到最高,预测相关系数上升了0.02%,预测均方根误差下降了0.20%;酒醅还原糖近红外定量分析模型经蒙特卡罗处理后,预测相关系数上升了8.74%,预测均方根误差下降了42.14%;酒醅淀粉近红外定量分析模型经蒙特卡罗处理后预测精度达到最高,预测相关系数上升了2.81%,预测均方根误差下降了57.80%。结论 经过验证,剔除异常样品可建立出预测精度更高的酒醅定量分析模型。     

用RBF神经网络预测材料力学性能的研究

由于径向基函数(RBF)神经网络有易学,动态仿真性强,较强的输入输出映射功能和全局最优逼近的结构特点,因此将之用于预测麦杆增强复合板材力学性能。高斯函数表示形式简单,径向对称,光滑性好和解析性好,所以模型采用高斯函数作为隐含层基函数,k均值聚类法确定径向基函数的参数,运用最小二乘法确定权值。结合影响复合板材力学性能因素的特点和变化规律,以成型温度、成型压力、纤维含量、保温时间、拉伸强度、冲击韧性等为对象建立预测复合板材力学性能的模型,用它来优化模压成型的工艺参数,找出最佳工艺参数的范围。结果表明,径向基函数神经网络具有较好的学习和泛化能力,在预测力学性能中效果较好。     

一种RFID复杂事件语义分析方法研究

复杂事件处理技术是射频识别技术（Radio Frequency Identification,RFID）应用中的重要技术。现有的RFID复杂事件处理模型,例如基于petri网的模型、基于树的模型、基于图的模型、基于自动机的模型,并不能十分有效地解决复杂的RFID应用问题,具体地说,RFID复杂事件的语义分析方面缺乏进一步的研究。针对上述问题,提出了一种RFID复杂事件语义分析方法。该方法,借鉴编译原理中的语义分析技术,为事件增添定义了继承属性和综合属性,同时按照事件之间的关系,定义了三种语义模式,最后通过一个语义解析算法,解析出了特定模式组合的语义信息。实验证实,该方法取得了比较理想的效果。     

Nondestructive test and prediction of MOE of FRP reinforced fast-growing poplar glulam

The modulus of elasticity (MOE) of fiber-reinforced plastic (FRP) reinforced fast-growing poplar glulam was investigated and predicted in this study. Firstly, MOE of FRP reinforced glulam with different FRP lengths were measured by longitudinal vibration and static bending tests and the effect of FRP length on MOE was investigated. Secondly, MOE of FRP globally reinforced (GR) poplar glulam and non-reinforced (NR) poplar glulam was predicted by improved transformed section method based on dynamic MOE of poplar laminas. At last, the deflection curve equation of FRP locally reinforced (LR) poplar glulam was obtained by singularity function method. Then MOE was predicted based on deflection curve equation of LR glulam. The results indicated that the reinforced effect of FRP on MOE of reinforced glulam increased as the FRP length increased. The predicted MOE had a good agreement with measured static MOE of glulam, and the accuracy of MOE prediction of LR glulam decreased as the FRP length decreased.     

渗硼工艺对汽车用45CrNiMoV热锻模具钢性能的影响

研究了850～950℃3～6 h渗硼处理的汽车发动机曲轴锻造用模具钢的显微硬度、冲击韧性、耐磨性能以及物相组成和微观结构。研究结果表明,925℃渗硼4 h后的样品性能较优,模具钢渗硼层最大HV显微硬度值1712,渗层厚度58.6μm,400℃和24℃冲击韧性值分别为39 J·cm^-2和27 J·cm^-2,90 min摩擦试验后的磨损量6.7 mg。物相组成显示渗硼层主相为Fe₂B,显微结构中可以明显看见渗硼后的渗硼层、过渡层以及基体。     

萌发苦荞淀粉的理化特性及消化性研究

本试验以萌发苦荞为研究对象,对苦荞萌发过程中淀粉的组成,尤其是淀粉颗粒形态的变化规律以及消化特性进行了研究。试验结果表明:经萌发处理后苦荞淀粉组成发生了变化,其中总淀粉质量分数下降了28.35%,随着直链淀粉的增加,直链淀粉与支链淀粉的比例也随之增大,在第3d时达到0.63;萌发苦荞淀粉的组成也发生变化,其中慢消化淀粉含量明显提高(P0.05);同时,适度萌发仅对淀粉颗粒的无定形区晶体结构产生影响,结晶度随着萌发时间增加逐渐增大,形成部分小分子聚合体。体外消化试验表明:较萌发前,苦荞淀粉消化性能明显改善。从萌发苦荞淀粉颗粒结构与体外消化性相关性分析结果可以看出体外消化率即血糖指数与萌发苦荞淀粉平均粒径呈显著正相关,与其结晶度呈显著负相关。从而揭示了萌发后苦荞淀粉粒径变小,结晶度变大,有利于血糖指数的降低。萌发苦荞淀粉血糖指数(GI)均小于55,属于低GI食品,是目前国内外营养与食品界推荐糖尿病人群理想食物。