Study on Preparation and Application of Ti／Si Complex Zeolite

A Ti/Si complex zeolite has been prepared. X-ray diffraction and infrared spectrometry study has shown that two structures, namely the ZSM-5 and MCM-41, exist in the sample. BET tests have revealed that the complex zeolite contains regular mesopores of 2.6 nm. Ultraviolet spectrometry analysis has shown that the Ti species exist in the zeolite skeleton in the form of tetra-coordinate valence. The Ti/Si complex zeolite (TS-1/Ti-MCM-41) has apparently improved catalytic activity with respect to the macromolecular organic compound oxidation as compared to individual components of either Ti or Si containing zeolites (TS-1 and Ti-MCM-41).     

基于PLC的工程轮胎胎面缠绕机控制系统

叙述了工程轮胎胎面缠绕成型的基本原理 ,介绍了自行设计开发的基于PLC的工程轮胎胎面缠绕机控制系统 ,并对如何利用胎面胶条的厚度控制胎面外廓作了阐述     

多面体含能材料的爆速和爆压预估

当采用R-P经验方法预估多硝基笼状化合物最大理论密度下爆速和爆压时,需要修正F因子中与分子结构有关的A/3项,使F因子包含有来自笼状分子高晶体密度和分子内部高张力能的贡献。与K-J方法相比,改进R-P方法既保持了原式的优点,又使预估结果获得明显改善。把K-J方法预估结果作为基础数据,利用改进R-P方法估算25种多硝基笼状化合物的爆速和爆压,结果表明该方法的相对误差分别为±1.9％和±5.2％。而用R-P方法时,预估爆速和爆压的相对误差分别为±14.0％和±21.4％。     

Microstructure evolution of nanostructured Ni3Al during annealing

A nanocrystalline layer was produced on the surface of Ni3Al intermetallic by means of surface mechanical attrition treatment. The surface nanocrystallites were annealed at 250-750 ℃ for 30 min. Microstructure evolution of nanocrystallites during annealing was studied by X-ray diffraction （XRD） and transmission electronic microscope （TEM）. The experimental results show that long-rang order recovers rapidly when annealing temperature is below 250℃ and changes slowly at 350-550 ℃, and then it increases rapidly at 750℃. The grain size of nanocrystallites of Ni3Al keeps stable and crystal defects recover when they are annealed below 550℃. The grains grow normally in low temperature annealing and abnormal growth occurs at 750℃.     

颗粒增强TiAl基复合材料及其Si的韧化作用研究EI

运用ＸＤ工艺制备了颗粒增强ＴｉＡｌ基复合材料。增强颗粒均匀分布于ＴｉＡｌ基体中并细化ＴｉＡｌ合金。通过在ＴｉＢ_２／ＴｉＡｌ、ＴｉＣ／ＴｉＡｌ复合材料中加入适量的Ｓｉ，颗粒增强ＴｉＡｌ基复合材料的室温延性得到了改善。     

武钢含铁化合物二次资源综合利用的有效途径

在分析武钢含铁化合物二资资源的种类、数量和理化特性的基础上,提出了这部分资源的产品开发方向,并根据这些开发产品国内外市场的分析,指出这种开发将可能取得可观的经济效益。简介了这类开发的工艺和设备。     

球状碳单质分子的发现,研究现状及应用前景

综述了碳的第三种同素异形体──球状碳单质分子的发现、结构、性质及其应用前景。     

A singular loop transformation framework based on non-singular matrices

In this paper, we discuss a loop transformation framework that is based on integer non-singular matrices. The transformations included in this framework are called Λ-transformations and include permutation, skewing and reversal, as well as a transformation calledloop scaling. This framework is more general than existing ones; however, it is also more difficult to generate code in our framework. This paper shows how integer lattice theory can be used to generate efficient code. An added advantage of our framework over existing ones is that there is a simple completion algorithm which, given a partial transformation matrix, produces a full transformation matrix that satisfies all dependences. This completion procedure has applications in parallelization and in the generation of code for NUMA machines. This work was supported by the Cornell Theory Center, NSF Presidential Young Investigator award #CCR-8958543. by NSF Grant #CCR-9008526, and by a grant from the Hewlett-Packard Company.     

基于交流比例积分控制器的单相逆变器

提出一种电感电流、输出电压瞬时值反馈控制和负载电流前馈控制相结合的复合控制策略。在此基础上,研制了一台800W的单相逆变器。实验结果表明,提出的控制策略改善了逆变器输出电压的波形,提高了系统的暂态特性。     

A new intelligent prediction system model-the compound pyramid model

A current development trend in research on intelligent systems is to optimize a general intelligent prediction system into an individuation intelligent prediction system that is applied in specialized fields. Protein structure prediction is a challenging international issue. In this paper, we propose a new intelligent prediction system model, designed as a multi-layer compound pyramid model, for predicting secondary protein structure. The model comprises four independent intelligent interfaces and several knowledge discovery methods. The model penetrates throughout the domain knowledge, with the effective attributes chosen by Causal Cellular Automata. Furthermore, a high pure structure database is constructed for training. On the RS126 dataset, the overall state per-residue accuracy, Q3, reached 83.99%, while on the CB513 dataset, Q3 reached 85.58%. Meanwhile, on the CASP8 sequences, the results are superior to those produced by other methods, such as Psipred, Jpred, APSSP2 and BehairPred. These results confirm that our method has a strong generalization ability, and that it provides a model for the construction of other intelligent systems.