四通换向阀对家用热泵空调系统性能的影响

四通换向阀对热泵系统的热性能和效率会产生一定的影响．只要热泵系统处于运行状态,该性能影响就一直存在．通过搭建的实验台,测定了家用分体式热泵型空调器中四通换向阀的传热、压降和制冷剂泄漏损失的具体值,得出了相应的特性系数;建立了包括四通换向阀在内的热泵系统稳态仿真模型,并经实验验证．通过实例,定量分析了四通换向阀的各种损失对热泵系统热性能和ＣＯＰ所产生的影响．结果表明,四通换向阀使家用热泵系统的ＣＯＰ下降了２．５％左右．通过改进四通换向阀的特性,可减少其对热泵性能的影响,有利于热泵系统的节能．     

高价阴离子在PEG水溶液中的粘度B系数

测定了ＮａＣｌ、ＫＣｌ、Ｎａ２ＳＯ４、Ｋ２ＳＯ４、Ｎａ２ＣＯ３、Ｎａ３ＰＯ４在ＰＥＧ水溶液中的相对粘度,利用Ｊｏｎｅｓ－Ｄｏｌｅ方程求出了粘度Ｂ系数,结果表明Ｂ系数具有良好的加和性,以ＫＣｌ为参考电解质计算了单个离子Ｂ系数,发现ＳＯ＾２－４,ＣＯ＾２－３,ＰＯ＾３－４的Ｂ系数随着ＰＦＧ浓度的增大而减小,温度系数ｄＢ／ｄＴ大于零,表明ＳＯ＾２－４,ＣＯ＾２－３,ＰＯ＾３－４对ＰＥＧ水溶液结构呈破坏作     

丙烯氨氧化催化剂物化性能研究：Ⅱ.催化剂失活前后的结构表征

采用ＸＲＤ，ＩＲ，Ｍｏｂａｕｅｒ ＥＳＲ，ＸＰＳ，ＳＥＭ和孔结构分析等分析测试手段，对比研究了新鲜，失活和再生三种丙烯氨氧化催化剂的体相结构和表面性质。结果表明，新鲜催化剂中各元素以Ｆｅ２（ＭｏＯ４），α－ＣｏＭｏＯ４，ＮｉＭｏＯ４，γ－Ｂｉ２Ｏ３．ＭｏＯ３，α－Ｂｉ２Ｏ３．３ＭｏＯ３，η－ＭｏＯ３，α－Ｂｉ２Ｏ３和β－Ｂｉ２Ｏ３形式存在２；失活催化剂中，部分Ｆｅ２（ＭｏＯ４）３转变为α－Ｆｅ－Ｍ     

水在有机溶剂中聚合行为的IR研究

应用ＩＲ光谱差减技术，研究了水在 ＣＣ１４； ＨＣＣ１３， ＴＢＰ和 １， ４－二氧六环中的聚合形态。在 Ｈ２Ｏ－ＣＣ１４， Ｈ２Ｏ－ＨＣＣ１３体系中，通过差减，观察到聚合水的４个吸收峰，指定为开式二聚水的 ＩＲ吸收。在 Ｈ２Ｏ－ＴＢＰ和 Ｈ２Ｏ－二氧六环体系中，通过聚合水的吸收峰面积与单聚水的吸收峰面积的关联，认为存在二聚和更高聚合形式的水。     

邻苯二胺电聚合膜中Ni的掺杂及其催化作用

采用二甲基甲酰胺、水杨醛、氨基乙酸、乙酸改性的聚邻苯二胺膜电极（ＰＯＤＢ）配合Ｎｉ（Ⅱ）,形成ＰＯＤＢｄ－Ｎｉ（Ⅱ）,ＰＯＤＢｈ－Ｎｉ（Ⅱ）,ＰＯＤＢｅ－Ｎｉ（Ⅱ）,ＰＯＤＢａ－Ｎｉ（Ⅱ）电极。红外光谱显示,Ｎｉ（Ⅱ）是由于改性物质和ＰＯＤＢ以酰胺的形式结合,从而引入更多的含孤对电子的元素,配合到ＰＯＤＢ膜中去的。在ＨＣｌ溶液中（ｐＨ＝３）,ＰＯＤＢａ－Ｎｉ（Ⅱ）的配合稳定性最好。掺杂Ｎｉ的ＰＯＤＢ对Ｏ２和抗坏血酸（Ｈ２Ａ）有电催化还原和氧化的作用。对Ｈ２Ａ的催化氧化属于平行催化机理,电极反应受Ｈ２Ａ向电极表面扩散的控制。     

CORBA/IOP的语义初探

用π－演算刻划ＣＯＲＢＡ／ＩＯＰ环境下涉及多个ＯＲＢ的分布式对象计算过程，重点描述多个ＯＲＢ之间的互操作过程．构造了一个高度简化的ＣＯＲＢＡ／ＩＯＰ的π－演算模型．借助于这个模型，演示了ＣＯＲＢＡ／ＩＯＰ支持分布式对象计算这个性质．     

新颖苝四羧酸亚胺系化合物的光电互转换性质研究

合成了Ｎ，Ｎ＇－二正丙基－１，６，７，１２－四苯氧基－３，４，９，１０－苝四羧酸亚胺（ＰＴＣ）。利用真空镀膜技术制备了Ａｌ－ＰＴＣ－Ａｇ（Ｃｅｌｌ－Ａ）和ＩＴＯ－ＰＴＣ－Ａｇ（Ｃｅｌｌ－Ｂ）两种光电池以及ＩＴＯ－ＰＴＣ－Ｚｎｑ_２－Ａｌ（ＬＥＤ－Ｃ）双层结构的电致发光二极管。测试光电性能得：Ｃｅｌｌ－Ａ具有光生伏打效应，Ｃｅｌｌ－Ｂ没有，ＬＥＤ－Ｃ发出λ＝５５０ｎｍ的黄绿光，故ＰＴＣ具有Ｐ型半导体性质。     

Bi系与Tl系高Tc超导体的比热奇异研究

利用扫描比热法对Ｂｉ－Ｓｒ－Ｃａ－Ｃｕ－Ｏ和Ｔｌ－Ｂａ－Ｃａ－Ｃｕ－Ｏ超导体从液氮温度到室温作了详尽的比热测量．类似于ＹＢＣＯ超导体，在临界转变温度与室温的这一区间里发现Ｂｉ系和Ｔｌ系样品也存在负的比热奇异行为，即存在形状类似于倒置λ相变的比热反常峰．反常峰的位置和数量与样品的受热历史有关．并且实验发现存在一个临界的最高热循环温度Ｔ（ＣＴＣ），当样品的最高热循环温度Ｔ（ＴＣ）小于Ｔ（ＣＴＣ）时，这类反常峰将消失．对ＢＳＣＣＯ和ＴＢＣＣＯ这一临界热循环温度Ｔ（ＣＴＣ）分别为２３８±２Ｋ和２６１±１Ｋ．     

复合掺杂对BaTiO3瓷介电常数温度特性的影响

研究了Ｄｙ－Ｎｂ、Ｃｅ－Ｎｂ氧化物复合掺杂对ＢａＴｉＯ３瓷温度特性的影响。结果表明，能使ＢａＴｉＯ３瓷的介电常数－温度关系曲线变得相当平缓。对造成此结果的原因，进行了理论分析和讨论。     

包钴包亚铁磁粉表面的XPS研究

使用ＶＧ ＥＳＣＡＬＡＢ５电子能谱仪对不同产地的ＣｏＦｅ－γ－Ｆｅ２Ｏ３磁粉的表面进行了研究，对不同ＣｏＦｅ－γ－Ｆｅ２Ｏ３磁粉表面Ｃｏ，Ｆｅ元素的可能价态和组分进行了分析，探讨了包钴包亚铁磁粉采用的工艺。     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Wuhan University Journal of Natural Sciences TOTAL CONTENTS

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