Particle distribution and interfacial reactions of Al–7%Si–10%B<Subscript>4</Subscript>C die casting composite

Aluminum–boron carbide particle reinforced composite is an advanced material which can be used in applications such as neutron-shielding components, aircraft, and aerospace structures. In the microstructural characterization of an Al–7%Si–10%B₄C die casting, attention is particularly focused on particle distribution and interface reaction products between B₄C particles and the aluminum matrix. The quantitative analysis results show that, in a cross-section of the cast part, more particles concentrate in the center and fewer particles are present in the wall regions. Moreover, some particle segregation bands have been observed. The mechanisms of the particle migration are proposed to describe the phenomenon. However, the average particle fraction in any cross-section of the cast part is almost the same. A barrier layer consisting of several sublayers was detected on the surface of B₄C particles. Using electron diffraction in selected areas, it is found that these sublayers are composed of Al₃BC crystals, TiB₂ crystals, Si crystals, and coarse stick-shaped TiB₂ particles. In addition, it is observed that Si plays an important role in the formation of a dense barrier layer. The barrier layer can limit B₄C decomposition and improve B₄C stability in the aluminum melt.     

An empirical investigation of bias and variance in time series forecasting: modeling considerations and error evaluation

Bias and variance play an important role in understanding the fundamental issue of learning and generalization in neural network modeling. Several studies on bias and variance effects have been published in classification and regression related research of neural networks. However, little research has been done in this area for time-series modeling and forecasting. We consider modeling issues related to understanding error components given the common practices associated with neural-network time-series forecasting. We point out the key difference between classification and time-series problems in consideration of the bias-plus-variance decomposition. A Monte Carlo study on the role of bias and variance in neural networks time-series forecasting is conducted. We find that both input lag structure and hidden nodes are important in contributing to the overall forecasting performance. The results also suggest that overspecification of input nodes in neural network modeling does not impact the model bias, but has significant effect on the model variance. Methods such as neural ensembles that focus on reducing the model variance, therefore, can be valuable and effective in time-series forecasting modeling.     

导数火焰原子吸收法对调味品中锌的测定

将微量脉冲进样技术和导数火焰原子吸收法结合，建立了测定调味品中锌含量的新方法。该方法的检出限为0．013μg／mL，精密度4．46％，回收率96．67～113．33。     

两相管流工艺计算软件的研制

利用流体力学理论 ,结合目前国内外最新的两相流理论和实验研究成果 ,在描述气液两相流水力计算、热力计算和流型判断的数学物理模型基础上 ,研制出适用于海洋、沙漠、丘陵地区原油与伴生气、凝析天然气与凝液输送工艺的一套新的计算模拟软件TFTCS。介绍TFTCS软件的结构、功能、适用范围。用该软件对锦州 2 0 - 2海底湿天然气管道进行模拟计算 ,并与管线生产数据进行对比 ,用国外同类软件PIPEPHASE进行验算。实例计算分析表明 ,该软件功能完善 ,操作方便 ,计算结果可靠 ,能满足油气混输管道的设计计算和生产管理的需要     

混凝土多孔砖应用技术研究

在分析了多孔砖力学特点的基础上,通过分析和研究,找出克服由于设计、施工原因造成的混凝土多孔砖砌体强度下降的措施。     

水吸收-催化燃烧技术处理PET聚酯废气的中试研究

应用水吸收—催化燃烧技术处理PET聚酯生产中排放的含乙二醇、2—甲基—1，3—二氧戊环、乙醛等废气。水吸收可以有效脱除高沸点的乙二醇，通过对乙醛的吸收、解吸作用使废气的总烃浓度得到均匀化处理；采用Pt／Pd／CeO2蜂窝状催化剂，在反应器床层空速40000h^-1，人口温度250℃，人口总烃浓度3522—5666μL/L的条件下，反应器出口总烃浓度54—84μL/L，乙醛浓度3—11μL/L，总烃去除率达到97．6％一98．9％，净化后气体符合国家排放标准。     

Flow efficiency in multi-louvered fins

The paper studies the effect of Reynolds number, fin pitch, louver thickness, and louver angle on flow efficiency in multi-louvered fins. Results show that flow efficiency is strongly dependent on geometrical parameters, especially at low Reynolds numbers. Flow efficiency increases with Reynolds number and louver angle, while decreasing with fin pitch and thickness ratio. A characteristic flow efficiency length scale ratio is identified based on geometrical and first-order hydrodynamic effects, which together with numerical results is used to develop a general correlation for flow efficiency. Comparisons show that the correlation represents more than 95% of numerical predictions within a 10% error band, and 80% of predictions within a 5% error band over a wide range of geometrical and hydrodynamic conditions.     

三维合成炮叠前深度偏移

对国际上标准的SEG/EAEG模型进行了三维合成炮叠前偏移研究。与三维单炮叠前深度偏移不同 ,三维合成炮叠前偏移有一个叠前数据的合成过程 ,由于合成后数据量大大减少 ,所以合成炮偏移的计算量要比单炮偏移小得多。阐述了三维合成炮叠前偏移的实现过程 ,给出了相应公式。对SEG/EAEG盐丘模型的一个数据集进行了MPI并行计算 ,取得了良好的成像效果。所作的较多计算表明了三维合成炮叠前偏移的正确性和有效性 ,这为野外实际数据的三维叠前深度偏移提供了另一条有效途径。     

电话防盗报警器

详细介绍了电话通讯技术以及安全报警技术的应用，二者如何有效地结合起来形成综合联网报警系统。分析了HT9200A和MT8870DC的电路结构，及与AT89C51的接口电路。     

企业信息化中的网络存储整合应用

首先介绍了网络存储技术中NAS技术和SAN技术的基本原理,并对两者的特性进行了比较;然后详细介绍了企业信息化过程中网络存储整合的一个典型案例,分析了其整合前存在的不足,制定有效的整合实施方案,并对实施过程中许多关键技术部分进行了阐述,最终很好的达到了预定目标;最后总结了网络存储整合需要规划多种技术相融合的必要性.