LED封装用玻璃/Al2O3系LTCC基板材料的性能

以硼硅玻璃和Al2O3陶瓷粉料为原料,通过改变玻璃和Al2O3质量比(60∶40～40∶60),采用低温烧结法制备低温共烧多层陶瓷基板(LTCC)材料。采用热膨胀仪、电子万能试验机、导热仪、X线衍射仪(XRD)、扫描电子显微镜(SEM)和阻抗分析仪表征样品的性能。结果表明:样品在烧成温度超过650℃以后,开始出现快速的收缩。随着Al2O3含量增加,样品的密度先增加后减小,烧结收缩率减小。随着样品密度下降,样品的热导率(λ)、抗弯强度(σ)和介电常数(εr)降低,介电损耗(tanδ)恶化。当Al2O3质量分数为45%时,复相材料于875℃烧结致密,显示出较好的性能,λ=2.89 W/(m.K),σ=203.1 MPa,εr=7.66,tanδ=9.1×10-4(于10 MHz下测试)。     

Monte-Carlo仿真酒精特征波长光子在皮肤中的传输规律及光纤探头设计

用蒙特卡罗(Monte-Carlo)方法研究酒精特征波长的光子在皮肤组织中的传输规律,从而确定酒精光谱的最佳检测距离,为应用近红外光谱进行人体酒精无创检测提供理论依据。通过建立皮肤4层结构模型,确定了在酒精特征波长(1694nm、1735nm、2266nm、2308nm)下该模型的光学参数。利用Monte-Carlo方法对该模型仿真可得到结论:1694nm、1735nm波长光子的最佳检测半径为650μm,2266nm、2308nm波长光子的最佳检测半径为450μm;半径在200～1000μm之间时,出射点的光子密度随检测半径的增加呈幂函数形式递减,检测到的光子数随检测宽度的增加大致呈线性递增。利用上述结果,设计了用于人体酒精无创检测的光纤探头,选用TE制冷型的InGaAs检测器作为光子检测器。     

亚麻优化脱胶工艺对纤维性能的影响

在正交试验设计方法的基础上,采用一种新型的脱胶工艺对亚麻纤维进行脱胶,利用方差分析法对结果进行分析,通过SEM观察雨露沤麻和化学脱胶后亚麻纤维的纵向结构和形态．实验结果表明,NaOH用量对亚麻脱胶后分离度和束纤维强度影响最大,温度对亚麻柬纤维强度影响显著;亚麻脱胶的最优工艺参数为：氢氧化钠10g／L,时间90min,温度100℃;化学脱胶的亚麻胶质去除更彻底,在保证强度的前提下,分离度更大,有利于提高成纱质量．     

钢筋混凝土受弯构件开裂截面特性的解析解

文章基于平截面假定和结构平衡后各截面曲率唯一的原则,针对钢筋混凝土构件使用阶段的开裂截面特性,推导出一种新的计算方法,与现有计算公式相比,计算精度基本相当,且具有逻辑更加严密、形式更简单明了、使用参数少、计算方便等优点,能与现有规范较好地衔接。     

Biomimetic preparation and multi-sc ale microstructures of nano-sil ica/polyurethane elastomeric fibers

Bioinspired by the spinning of spider silks,the biomimetic preparation of nano-silica/polyurethane（nano-SiO/TPU） elastomeric fibers with distinctive multi-scale microstructures was successfully implemented.The formation mechanism of the nano-SiO₂/TPU fibers was considered as the integrated mechanism of diffusion,coagulation,self-assembly,and microphase separation,same as that of the native spider silks.The mass ratio of nano-SiO₂ to TPU greatly influenced the external and inner microstructures of the nano-SiO₂ATPU fibers.The formation process of the nano-SiO₂/TPU fibers was simply described as three main stages,and the second stage,such as the adding of the ethanol solvents and nano-SiO₂ in different diameters,was thought to be very crucial for the final external and inner microstructures of the prepared fibers.For example,the adding of the ethanol and the nano-SiO₂ spheres in diameter of 10 nm resulted in the existence of many TPU-self-assembled microspheres mostly spaced apart by the nano-SiO₂ aggregates in the nano-SiOVTPU fibers,while the adding of the ethanol and the nano-SiO₂ spheres in diameter of 100 nm resulted in the existence of the nano-SiO₂ spheres,instead of the TPU-self-assembled microspheres,distributed in the nano-SiO₂/TPU fibers.     

《光纤通信》实验教学的优化探讨

为了培养学生的实践和动手能力,达到和理论课相辅相成的效果,根据实际教学经验及现有光纤通信实验基础,文章强调学生实验素质的培养,从做好基础实验、坚持系统实验、增设综合性、创新性实验和仿真实验等方面对优化光纤通信实验课程的教学方法、实验内容、考核方式等问题进行了探讨,为该实验教学的改革提供了有益的借鉴。     

IUKF neural network modeling for FOG temperature drift

A novel neural network based on iterated unscented Kalman filter （IUKF） algorithm is established to model and com- pensate for the fiber optic gyro （FOG） bias drift caused by temperature. In the network, FOG temperature and its gradient are set as input and the FOG bias drift is set as the expected output. A 2-5-1 network trained with IUKF algorithm is established. The IUKF algorithm is developed on the basis of the unscented Kalman filter （UKF）. The weight and bias vectors of the hidden layer are set as the state of the UKF and its process and measurement equations are deduced according to the network architecture. To solve the unavoidable estimation deviation of the mean and covariance of the states in the UKF algorithm, iterative computation is introduced into the UKF after the measurement update. While the measure- ment noise R is extended into the state vectors before iteration in order to meet the statistic orthogonality of estimate and mea- surement noise. The IUKF algorithm can provide the optimized estimation for the neural network because of its state expansion and iteration. Temperature rise （-20-20℃） and drop （70-20℃） tests for FOG are carried out in an attemperator. The temperature drift model is built with neural network, and it is trained respectively with BP, UKF and IUKF algorithms. The results prove that the proposed model has higher precision compared with the back- propagation （BP） and UKF network models.     

女子短跑运动员身体机能评定的研究

通过对广东省女子短跑运动员备战第11届全运会阶段的生化指标进行监测,为建立有效的女子短跑项目机能评定指标监测体系提供理论依据,为第十二届全运会赛前科研提供借鉴.监测指标包括血睾酮、血清肌酸激酶、尿素氮、血红蛋白等.结果表明：HB、BUN、T、CK等指标的综合使用,对评定女子短跑运动员的身体机能水平有较强的实用性和针对性.     

LC4表面纳米SiC和PTFE双颗粒复合阳极氧化膜的制备

以250g/L硫酸+15g/L草酸为基础电解液,通过添加2g/L表面改性的纳米SiC颗粒和15ml/LPTFE乳液,组成双颗粒复合阳极氧化电解液,利用脉冲电源在LC4铝合金表面制备双颗粒复合的阳极氧化膜.结果表明:在脉冲电源频率80Hz、占空比80%、电流密度3A/dm2、温度0℃、氧化时间40min等条件下,在LC4铝合金表面成功制备出厚度为20μm,硬度为4340MPa的双颗粒复合的Al2O3-SiC-PTFE阳极氧化膜;复合氧化膜结构中存在着大量的微米级的孔隙缺陷为复合沉积双颗粒提供了复合场所,形成了具有纳米SiC颗粒增强膜的硬度和PTFE颗粒增强膜的自润滑性能的双颗粒复合氧化膜.     

慈竹不同变异类型的纤维形态研究

通过对四川省青神县慈竹不同变异类型的纤维形态指标进行观测,比较分析了不同变异类型纤维形态特征的差异及变异规律,并对其利用价值进行了探讨.结果表明:慈竹6种类型的平均纤维长度都大于1.6 mm,除罗汉慈外均大于毛竹;慈竹、琴丝慈和蛇头慈纤维长度分布的最大频率出现在2.0 ～3.0 mm之间,其余慈竹类型的纤维长度分布最大频率出现在1.0 ～2.0 mm之间.除罗汉慈外,其余慈竹类型的纤维长宽比平均值均大于100,且大于毛竹.慈竹6种类型纤维平均壁腔比在1.77～ 3.96之间,均小于毛竹.在轴向上,慈竹不同类型纤维的长度、宽度、长宽比和腔径的变异规律随交异类型的不同而不同,其纤维壁厚和壁腔比则具有相似的交异规律;在径向上,慈竹不同类型竹壁内侧的纤维长度、腔径均大于外侧纤维,其竹壁内侧的纤维宽度、长宽比、壁厚和壁腔比大多小于外侧.说明除罗汉慈外慈竹其余变异类型的竹材纤维质量均优于毛竹,琴丝慈的竹材纤维质量优于慈竹,其造纸性能最佳.