不同还原度铁氧化物球团在微波场中的升温及还原行为

为深入了解氧化球团在微波竖炉中的升温以及煤基直接还原行为,实验采用铁精矿氧化球团作为基础原料,在气体还原剂条件下进行预还原,通过控制还原时间得到不同还原度铁氧化物球团,并从不同还原度铁氧化物球团的结构以及性能出发,研究它们在微波场中的升温性能及其还原变化.电磁性能测试结果表明,球团中的铁及其氧化物在微波场中的升温速度从快到慢依次为:Fe3O4,Fe2O3,Fe,FeO.微波加热还原结果分析及矿相结构观察显示,Fe2O3的深还原时间较长,物相多重转变,造成过程温度和还原气氛跟不上氧化物的还原反应速度;Fe3O4阶段升温速度快,结构松散,有助于进一步的还原,但进入浮士体(FeO的固溶体)阶段后孔隙率降低,升温速度骤降,造成还原的困难;在还原度达到66.90％时,表层以金属铁相为主,孔洞发达,吸波性能强,在气化反应有效进行的条件下,球团将会实现快速还原.     

在氧化性气氛中含碳球团直接还原的研究

实验研究证明在氧化性气氛中,在一定温度下含碳球团能够快速直接还原。还原得到的金属化球团表面会被迅速氧化生成铁氧化物层,阻碍氧化过程的进行,出现氧化停滞现象,得到直接还原铁。     

氩气氛铬铁矿含碳球团还原动力学

用热重法研究了铬铁矿含碳球团在氩气流中还原过程动力学,考察了还原温度、球团中配碳量和铬铁矿粉粒度等对还原过程的影响。应用颗粒模型对还原过程的实验数据进行了动力学解析,发现在本实验条件下,球团还原中对速度的限制步骤是铬铁矿颗粒还原产物层中的内扩散过程。进一步的分析步明,在 1 200℃ 以下和以上两个温度区间,该内扩散过程的活化能不同。分别求出了这两个区间的有效内扩散系数的阿仑尼乌斯表达式,得到了铬铁矿含碳球团还原过程的综合速度式。应用所获得的动力学方程对不同加热条件下的还原过程进行模拟计算,与实验结果相当符合。     

铁矿--生物质复合球团还原行为及还原动力学

通过分析生物质合成气气氛下,不同组分复合球团(添加和未添加生物质)的还原速率、还原度、表面微观结构和失重变化规律,对球团中添加生物质的作用机理以及含生物质球团还原过程的限制性环节展开研究.添加生物质的复合球团表面结构比无生物质球团疏松,孔隙率高,有利于后续还原的热质传递,增加产物还原度,降低反应活化能;复合球团的还原以收缩核方式进行,在1123~1323 K温度范围内,界面化学反应是两种球团还原反应的主要控速环节;添加生物质后,有利于界面化学反应的进行,使得球团的还原表观活化能由95.448 kJ·mol-1降低到68.131 kJ·mol-1.     

微波场中氧化球团升温性能及结构变化

在氮气保护下对氧化球团进行微波加热,旨在研究微波场中氧化球团的升温性能以及结构变化.氧化球团在中性气氛的微波场中进行加热,升温过程可以划分为缓慢升温、快速升温和较慢升温3个阶段.不同终点温度下氧化球团在冷态时的电磁性能测试以及微观结构观察结果显示:氧化球团在升温过程中内部结构发生了较大的改变,冷态时磨细再成型测其电磁性能变化不大,升温速度的不一致与温度和球团结构变化有关.整个过程中球团的强度和真孔隙率都是先降低再升高的,通过扫描电镜观察发现:颗粒在电磁场中首先出现碎裂现象,随着温度的升高,颗粒发生重结晶,造成球团结构的改变.     

含碳球团的还原性和还原冷却后的强度

在 １２７３～１５７３ Ｋ条件下研究了不同煤种、木炭和石墨与不同种类矿石制成含碳球团 的还原速度;进而讨论了温度、配碳比（Ｃ／Ｏ）、挥发分含量等因素对含碳球团还原所需时间和 金属化率的影响．通过测定含碳球团还原冷却后的强度,对影响强度因素进行了分析．还原冷 却后的强度在温度 １２７３ Ｋ时较低,配入含挥发分较高的气煤,可以使还原冷却后的强度提高, 加快反应速度．     

含钒钛铁矿球团还原过程中微观结构变化

在实验室模拟高炉条件下研究了含钒钛铁矿球团的还原过程,采用X射线衍射仪测定含钒钛铁矿球团在不同还原温度下的物相组成,通过光学显微镜和扫描电镜观察含钒钛铁矿球团还原过程中微观结构变化,并结合能谱分析仪研究氧化物中不同元素的分布状况.含钒钛铁矿球团在还原过程中出现的铁钛分离现象会影响含钒钛铁矿球团的还原性,形成的高钛含量钛铁晶石会增加铁氧化物还原难度.高温时形成的密实金属铁球壳会阻碍内部氧化物的还原,导致还原停滞,从而造成含钒钛铁矿球团高温还原性较差.当内部熔融物滴下时,会提高高炉下部氧势,有利于减少Ti(C,N)的生成.     

焙烧温度对氧化球团性质及其气基直接还原过程的影响

考查焙烧温度对氧化球团抗压强度、孔隙率、Fe3O4含量及显微结构等性质的影响,研究不同焙烧温度下球团的还原行为,计算其还原过程动力学并确定还原过程的限制性环节。研究结果表明:随着焙烧温度的升高,氧化球团抗压强度增大,晶粒间互联及渣相增多,球团内Fe3O4含量及孔隙率则明显降低;在1 200℃焙烧时球团还原最快,其次为1 150℃和1 250℃,最慢的是于1 100℃焙烧球团;在1 100,1 150和1 200℃焙烧球团还原过程受界面化学反应控制,而1 250℃焙烧球团在还原过程前期受界面化学反应控制,后期受内扩散控制。     

含碳氧化锌球团还原的动力学

采用等温法研究了纯氧化锌配加石墨碳粉制成含碳氧化锌球团在1000－1150℃下还原的动力学，研究结果表明：还原温度对含碳纯氧化锌还原速度有显著影响，温度愈高，还原反应速度愈大；根据Arrhenius方程计算出在1000－1150℃下碳的气化反应、界面化学反应和气相扩散为限制环节的活化能分别为37.615kJ/mol、43.192kJ/mol和46.548-53.280kJ/mol；与其它氧化锌的还原方式相比，含碳纯氧化锌球团还原反应的活化能要小得多，其还原速度主要由气相扩散控制。     

预还原球团吸波性能及其微波加热煤基直接还原

研究预还原球团在微波场中的升温特性,考察预还原球团微波加热中对直接还原的影响,分析铁氧化物煤基微波加热的还原行为.研究结果表明:预还原程度越高,球团中的Fe3O4含量逐渐减少,浮氏体和金属铁含量逐渐增多,对微波的吸收性能逐渐减弱,但是仍然具有较好的吸波能力.预还原球团金属化率越高,得到的海绵铁金属化率越高,在预还原球团金属化率为42.85％(质量分数),温度为1 000℃,还原时间为48 min,碳氧质量比为1.75:1时,海绵铁金属化率达到97.29％.随着还原反应的进行,铁氧化物的成分不断改变,金属铁颗粒呈星点状分布于浮氏体之间,但并不会形成致密金属壳,为还原反应中的气体交换创造良好的动力学条件.     

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.     

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).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.     

Tracking data management using topology of moving object database system for moving object constrained trajectory in LBS application

Advances in wireless technologies and positioning technologies and spread of wireless devices, an interest in LBS (Location Based Service) is arising. To provide location based service, tracking data should have been stored in moving object database management system (called MODBMS) with proper policies and managed efficiently. So the methods which acquire the location information at regular time intervals then, store and manage have been studied. In this paper, we suggest tracking data management techniques using topology that is corresponding to the moving path of moving object. In our techniques, we update the MODBMS when moving object arrived at a street intersection or a curved road which is represented as the node in topology and predict the location at past and future with attribute of topology and linear function. In this technique, location data that are corresponding to the node in topology are stored, thus reduce the number of update and amount of data. Also in case predicting the location,because topology are used as well as existing location information, accuracy for prediction is increased than applying linear function or spline function.