120 t LF精炼炉生产工艺优化

120 t LF精炼炉自投产以来,存在精炼周期长、升温速度慢、钢水质量不稳定等诸多问题.经现场调研发现,进站钢水渣量大、温度及成分波动大,精炼渣成分配比及吹Ar制度不合理.因此,通过改进精炼造渣工艺、控制过程温度、优化吹氩工艺,提高了钢水的可浇性,同时使得平均冶炼周期缩短40％,耗电量降低23％,显著降低了生产成本.     

钢水液面自动控制系统

介绍了连铸机结晶器中钢水液面控制系统的工作原理、系统构成、调节装置和辐射防护问题,给出了试验对比分析,利用此系统不用对连铸机结晶器进行任何改动.对钢水及周围不会造成污染.     

钢水液面自动控制系统

介绍了连铸机结晶器中钢水液面控制系统的工作原理、系统构成、调节装置和辐射防护问题 ,给出了试验对比分析 ,利用此系统不用对连铸机结晶器进行任何改动 .对钢水及周围不会造成污染     

氧气转炉的氧枪喷头优化及操作改进

为使转炉冶炼与连铸生产更好地匹配,通过对80t转炉氧枪喷头和顶底吹的操作改进,使供氧时间平均缩短了1.5min,并减少了冶炼终点钢水溶解氧和渣中铁损。同时评估氧气射流冲击熔池的深度、吹炼过程渣成分的演变以及钢水的氧化性,提出了终点钢水溶解氧含量与指数VO2/w[C]以及转炉炉龄之间的关系。     

钢包吹氩精炼过程钢水流动与混合行为的研究

结合鞍钢180 t钢包吹氩搅拌装置的设备工艺条件,采用数学模型方法预报了吹氩搅拌过程中钢水循环流动和混合等冶金行为,分别探讨了吹氩方式和氩气流量对钢水循环流量和混匀时间的影响.     

转炉炼钢厂工序产能和品种钢铸机配置

以邢钢转炉炼钢厂生产运行研究为基础,从物质量基本参数角度,对转炉、LF、连铸机三者的工序产能进行匹配分析和综合研究.运用OPT技术分析得出连铸机是原流程协调运行的"瓶颈",通过对提升连铸机生产能力的三种方法的分析,提出将连铸机由4流增加至5流是适合邢钢工艺的最佳工序产能匹配方案.最后,对中小吨位转炉流程的转炉、LF和连铸机匹配模式进行探讨,认为三者"一一对应"匹配模式是可行的.     

中间包吹氩去除钢水夹杂物

通过现场实验,研究了中间包吹氩位置和氩气流量对钢水洁净度的影响,重点探讨了在注流区吹氩对钢水洁净度的影响.结果表明:在T型中间包注流区内进行合适流量吹氩可提高钢水洁净度,在浇铸区拐角处和塞棒附近吹氩对钢水洁净度没有明显的影响;在注流区内吹氩,合适的氩气流量为6L·min-1,与不吹氩相比,钢中总氧降低率和夹杂物的去除率均可提高10%左右,但15L·min-1的大流量吹氩将会显著增加钢中总氧和大型夹杂物数量.分析认为:注流区内大的湍流强度可将氩气泡击碎成弥散小气泡,大量小气泡在钢液中上浮,不但提高了气泡捕捉夹杂物的概率,而且增加了夹杂物之间的碰撞机会,其结果是增大了夹杂物的粒径,促进了夹杂物的上浮去除;同时,注流区离水口距离最远,在注流区吹氩,碰撞长大的夹杂物有更长的时间上浮排出.以上两个因素的共同作用,使得在注流区吹氩对去除钢水夹杂物有显著效果.     

低碳含铝钢LF炉精炼工艺及精炼渣的优化

针对低碳含铝钢转炉生产的粗钢水[O]含量高和钢水[C]低的特点,提出了采用CaO-Al2O3的LF炉精炼渣系.为兼顾脱硫和吸收同化夹杂的需求,可选取(质量分数)CaO=55%～60%,SiO2=4%-7%,Al2O3=28%～32%,MgO=4%～8%,CaO/Al2O3=1.7～1.9作为LF炉精炼终渣组成.出钢过程中采用渣洗工艺向钢包内加入大部分精炼渣、出钢末期对转炉下渣还原处理的造渣模式,结合足够的软吹Ar时间,对16MnR进行精炼,得到了脱硫率为61.8%,铸坯T[O]为22×10-6,铸坯中大型夹杂总量为15.68mg/10kg钢的良好冶金效果.     

RH-MFB精炼过程中钢水温度预测模型

建立了RH-MFB精炼过程中钢水温度的数学模型,通过Delphi程序计算了精炼过程中钢水的温度.结果表明,RH-MFB精炼开始阶段,钢水温度急剧下降,前10 min降温速率约为3℃·min-1,加Al吹氧、加合金和真空室内壁初始温度对钢水温度影响较大.采用该模型预测了精炼结束时刻的钢水温度,与生产中钢水温度平均误差在±5℃以内的占80%.     

LF精炼对CSP集装箱钢T[O]和夹杂物影响

为提高武钢薄板坯连铸连轧产线集装箱钢水洁净度,通过工业试验考察了LF精炼过程炉渣成分、软吹氩以及钙处理工艺对钢中T[O]和夹杂物的影响.试验结果表明,适当提高(CaO+MgO)/SiO2有利于降低钢中T[O],但同时要考虑(CaO+MgO)/Al2O3的比值,适当增加钙处理前后软吹氩时间可明显提高钢水洁净度;将炉渣中(CaO+MgO)/SiO2和(CaO+MgO)/Al2 O3控制在合适范围不仅有利于提高钢水洁净度,而且有利于钢中低熔点CaO--MgO--Al2 O3系夹杂物的生成.根据相关热力学数据给出了实际生产钢中生成不同液态铝酸钙时[Ca]--[Al]平衡热力学计算模型.     

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)

正~~     

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).     

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.     

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.