纯镍N6平面热压缩变形行为及加工图

利用Gleeble-3800热模拟试验机对纯镍N6在变形温度800~1100℃,应变速率5~40 s-1,应变量70%条件下进行了高温塑性变形压缩试验,分析纯镍N6高温高应变速率热变形行为,得到了材料在不同变形参数条件下的组织变化规律及流变应力变化曲线,利用动态材料模型绘制出了纯镍N6在不同应变条件下的热加工图。通过对组织及热加工图的分析研究,得出变形温度为1000~1100℃,应变速率为5~7 s-1或20~40 s-1以及变形温度为800~900℃,应变速率为5~10 s-1为纯镍N6材料高温高应变速率热变形的两个合理变形参数区间,在参数区间内N6组织均匀;而流变失稳区变形参数条件下得到的组织比较紊乱,晶粒大小不一。纯镍N6热变形后的晶粒尺寸随变形温度升高及应变速率减小而增大。     

电热合金Cr20 Ni80的热变形行为及热加工图

为了解决Cr20 Ni80电热合金锻造开裂的问题,在Gleeb-1500D热模拟试验机上对该合金进行热压缩试验,研究变形温度为900~1220℃,应变速率为0.001~10 s-1条件下的热变形行为,并根据动态材料模型建立合金的热加工图.合金的真应力-真应变曲线呈现稳态流变特征,峰值应力随变形温度的降低或应变速率的升高而增加;热变形过程中稳态流变应力可用双曲正弦本构方程来描述,其激活能为371.29 kJ·mol-1.根据热加工图确定了热变形流变失稳区及热变形过程的最佳工艺参数,其加工温度为1050~1200℃,应变速率为0.03~0.08 s-1.优化的热加工工艺在生产中得到验证.     

Ti62421s钛合金的热变形行为及加工图

在变形温度为900～1060℃和应变速率为0.001～10s-1条件下,对Ti62421s合金进行变形量为60％的热压缩变形,以研究Ti62421s合金的热压缩流变应力行为.研究温度与应变速率对Ti62421s热变形流变应力的影响,建立Ti62421s合金热变形流变应力的本构方程和加工图.研究结果表明:合金在热压缩过程中,流变应力随着应变的增大而增加,达到峰值应力后逐渐趋于平稳:当在高应变速率(10s-1)下变形时,出现不连续屈服现象:应力峰值随应变速率的增大而增大,随温度的升高而呈减小趋势:合金最佳变形工艺参数为:温度θ=980℃,应变速率(ε)=0.01～0.1s-1.     

Cr-Co-Mo-Ni齿轮钢的热变形行为及模锻工艺的有限元模拟

在Gleeble-3800热模拟试验机上进行大变形等温压缩试验,研究Cr-Co-Mo-Ni齿轮钢的高温热变形行为和显微组织,分析材料流变应力与变形温度和应变速率的关系,建立热变形过程的本构方程和热加工图.该材料的流变应力随着温度的升高而下降,随应变速率的增加而增加;用双曲正弦函数式可描述其在热变形过程中的流变应力,热变形活化能为487.21kJ·mol-1;热加工图显示的适宜加工区间为温度1000～1100℃,应变速率0.1 ～1s-1.在热模拟试验基础上进行该钢种锻造工艺的有限元模拟,并结合热加工图分析初锻温度和加工道次对于锻件温度和应变速率的影响,得出适宜的模锻工艺参数为初锻温度1000～1100℃,锻造道次15次.     

齿轮钢SAE8620 H高温变形行为及热加工图

通过高温压缩试验研究齿轮钢SAE8620H在950~1100℃、应变速率0．01~10 s-1条件下的高温变形行为.该合金钢的流动应力符合稳态流变特征,流变应力随变形温度升高以及应变速率降低而减小,其本构方程可以采用双曲正弦方程来描述.基于峰值应力、应变速率和温度相关数据推导出SAE8620H高温变形激活能Q=280359．9 J·mol-1.根据变形量40%和60%下应力构建该齿轮钢的热加工图,通过热加工图中耗散值及流变失稳区确定其热变形工艺参数范围. SAE8620H钢在在变形程度较小时宜选取低的应变速率进行成形,而在变形程度大时则要选取低温低应变速率或者高温高应变速率.     

挤压态CuCr25合金热变形行为及其加工图

在Gleeble-3500D热模拟试验机上,对挤压态CuCr25合金在应变速率为0.01~10s~(-1),变形温度为750~900℃的条件下进行恒温压缩模拟实验.结果表明:挤压态CuCr25合金在热变形过程中流变应力随变形温度升高和应变速率降低而减小;可用双曲正弦模型来描述合金的流变行为,其平均激活能为383.4kJ/mol;基于动态材料模型获得了挤压态CuCr25合金的热加工图,并结合金相显微组织分析得到了该合金在实验参数范围内较优的热加工工艺参数范围:加工温度830~900℃,应变速率为0.01~0.1s-1.     

5083铝合金高温变形行为及加工图

采用Gleeble-3800热模拟机对5083铝合金进行高温等温压缩实验,研究该合金在变形温度为300~500℃、应变速率为0.0l~10.0 s-1条件下的流变行为,建立合金高温变形的本构方程和加工图,采用电子背散射衍射(EBSD)分析变形过程中合金的组织特征。研究结果表明:流变应力随变形温度升高而降低,随应变速率增大而升高;当变形温度为400~500℃时,合金发生动态再结晶;5083铝合金的高温流变行为可用Zener-Hollomon参数描述,该合金在真应变为0.6时的加工图中存在2个失稳区域,其优选的加工条件是变形温度为420~500℃,应变速率为0.01~0.10 s-1。     

新型Al-Mg-Si-Cu合金热压缩流变应力研究

在Gleeble 1500热模拟机上对一种新型Al-Mg-Si-Cu合金热压缩流变应力行为进行了研究,应变速率为 0.005~5 s-1、变形温度为350~550 ℃.结果表明:在较小应变(<0.15)出现一峰值后流变应力随应变的增加有所降低,表现出较明显的动态软化;在实验范围内,流变应力值随着应变速率减少和变形温度升高而降低,可用Zener-Hollomon参数的幂指数关系描述合金的流变应力行为,其变形激活能Q为236 kJ/mol.图5,参11.     

纯镍与GH3625合金热压缩行为研究及本构解析

利用Gleeble-3500热模拟试验机对铸态纯镍及GH3625合金在变形温度900~1 200 ℃、应变速率0.1~10 s^－1、应变量60%条件下,进行了热压缩实验.研究分析了纯镍以及GH3625合金的热塑性变形规律,并构建了本构方程,绘制了2种材料不同变形参数下的热加工图,分析了热加工图稳定与失稳区所对应的组织特征.研究发现纯镍在热压缩变形时,失稳区组织出现晶粒层级分化现象.通过对热加工图分析研究,确定纯镍最优热变形温度为1 050 ℃,最优应变速率为0.1 s^－1;GH3625合金最优变形温度为1 170 ℃,最优应变速率为0.1 s^－1.     

一种新型Al-Cu-Li系合金的热压缩流变应力

采用Gleeble-1500热模拟机高温等温压缩试验,研究了一种新型Al-Cu-Li系合金在应变速率为0.01～10s-1、变形温度为300～500℃条件下的流变应力特征.结果表明:流变应力随变形温度的升高而降低,随变形速率的提高而增大;采用Z参数的双曲正弦函数描述该合金高温变形的峰值流变应力,获得了峰值流变应力解析式,其热变形激活能为239.02kJ·mol-1.     

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).     

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.