不平衡磁拉力作用下偏心转子的非线性振动

用数值方法研究不平衡磁拉力、 偏心力、 陀螺力及极对数对发电机空载运行时转子振动的影响. 结果表明, 不平衡磁拉力可引起大幅度圆形涡动.     

静载荷作用下偏心转子电磁振动特性

偏心转子不仅受动载荷作用,还受静载荷作用。该文推导了转子同时考虑动、静偏心的气隙长度统一公式,利用数值方法计算出作用于转子的不平衡磁拉力(UMP),建立了UMP、静载荷(重力)、不平衡质量激励力作用下转子系统的运动微分方程。分析了动偏心和动静复合偏心情形下不计静载荷时和考虑静载荷时转子系统的轴心轨迹和位移频谱,讨论了静偏心方向、初始静偏心量对转子系统振动特性的影响。结果表明:静偏心方向影响转子轴心轨迹的位置分布,使位移频谱中幅值周期性变化,静偏心量的增加使位移频谱中出现4倍旋转频率的振动分量。静载荷对转子系统的作用可视为该静载荷方向上大小恒定的静偏心。     

水轮发电机组轴系非线性电磁振动特性分析

根据不平衡磁拉力与转子偏心的非线性关系,把气隙磁导展开为傅里叶级数,推导出不平衡磁拉力的解析式,建立了水轮发电机组轴系非线性电磁振动的动力学模型和微分方程,并采用数值方法分析了不平衡磁拉力下转子系统的非线性动力学响应.仿真结果表明:发电机转子和水轮机转子随激磁电流变化存在周期1运动、周期7运动及复杂的拟周期运动等,其特征频率除主要在1倍频处外,还分别在1.2～1.5倍频和0.2～0.8倍频处存在大量的谐波分量;随着转子质量偏心的增大,转子系统的固有频率降低,发电机转子高频分量不断减小,水轮机转子低频谐波却不断增大.     

大型水轮发电机不平衡磁拉力数值计算

采用一种先进的前处理技术，实现了在整域中利用二维有限元法计算不饱和情况下由于水轮发电机转子偏心造成的作用于转子上的不平衡磁拉力（即单边磁拉力），使不同偏心下计算出的磁拉力具有可比性．给出了单边磁拉力随偏心的不同而发生变化的规律，讨论了同一偏心下，激磁发生变化后单边磁拉力的变化情况．     

轮毂电机气隙偏心下不平衡电磁力与转子系统振动特性分析

相对于传统电机,轮毂电机在电动车行驶过程中,由于路面激励等外界因素的作用,定转子之间会更容易产生偏心,造成轮毂电机气隙不均匀而产生不平衡磁拉力,影响轮毂电机的运行。以一种表贴式永磁同步轮毂电机为研究对象,建立等效的转子动力学模型。通过解析计算和Maxwell Ansoft软件分析了气隙偏心下轮毂电机电磁力的变化情况,并将不平衡电磁力带入等效转子系统运动方程,运用隐式Newmark积分法对转子系统在不平衡电磁力、质量偏心和初始误差偏心影响下的动力响应进行计算。结果表明:气隙偏心会产生特定频率的不平衡磁拉力,增大质量偏心会减轻不平衡磁拉力对转子系统的影响,并且初始位置误差偏心会使转子轴心朝偏心方向偏移,并会与重力相互作用。研究结果可为分析电动车用轮毂电机定转子的振动和后续的控制奠定基础。     

大型水轮发电机不平衡磁拉力数值计算

采用一种先进的前处理技术，实现了在整域中利用二仪表 限元法计算不饱和情况下由于水轮发电机转子偏心造成的作用于转子上的不平衡磁拉力，使不同偏心下计算出的磁拉力具有可比性，给出了单边磁拉力随偏心的不同而发生变化的规律，讨论了同一偏心下，激磁发生变化后单边磁拉力的变化情况。     

电动车用永磁同步电机转子偏心对电磁力影响分析

针对电动车用永磁同步电机转子偏心问题,对偏心对电磁力的影响进行研究.通过解析法和有限元法建立电机偏心电磁力以及不平衡磁拉力模型,分析静动态偏心对电磁力的影响,得出静动态偏心会增加±1阶电磁力成分,并分别产生0Hz和f/p的不平衡磁拉力,且不平衡磁拉力成分随偏心率呈线性变化.这就为分析电动车用电机的振动和噪声激励源奠定了基础.     

不平衡磁拉力对碰摩转子-轴承系统的影响

针对转子-轴承系统当同时存在动偏心和静偏心时,不平衡磁拉力引起的系统振动问题,从气隙磁场能出发,推导了同时考虑两种气隙偏心时的不平衡磁拉力表达式,并将其表示为电磁刚度的形式.通过拉格朗日方程,建立了不平衡磁拉力作用下碰摩转子-轴承系统的非线性动力学方程,利用四阶龙格-库塔法求解系统微分方程并得到转子的分岔图和频谱瀑布图等,分析了电磁刚度、系统转速、初始间隙和静偏心对转子-轴承系统振动特性的影响.研究结果表明:电磁刚度的存在使碰摩现象和油膜涡动发生延迟,有利于系统在中低转速区域的安全稳定运行;在初始间隙和静偏心的变化过程中,系统会出现拟周期运动与倍周期运动交替出现的规律,且静偏心越大,系统振幅越大.     

双馈异步风力发电机转子匝间短路故障振动特性分析

针对双馈异步风力发电机转子匝间短路的故障振动机理尚不明确且无法为故障诊断提供理论依据的问题,开展了双馈异步风力发电机转子匝间短路故障振动特性分析.首先,结合有限元仿真及解析推导,分析转子匝间短路下双馈异步风力发电机的气隙磁密规律,得到转子所受的不平衡磁拉力;然后,考虑转子不平衡磁拉力的情况下构建双馈异步风力发电机转子-轴承系统非线性动力学模型,利用非线性动力学仿真获取转子匝间短路故障下系统的振动仿真信号;最后,在双馈异步风力发电机故障模拟实验台上进行转子匝间短路故障实验,利用实验分析验证非线性动力学仿真结果的有效性.非线性动力学仿真及实验分析结果均表明,转子匝间短路故障下双馈异步风力发电机转子-轴承系统振动信号的频谱存在转频的谐波成分,通过检测转频的谐波分量可诊断双馈异步风力发电机转子匝间短路故障,有效揭示了双馈异步风力发电机转子匝间短路的故障振动机理.     

基于振动信号分析的感应电机气隙偏心故障诊断

电机的偏心故障会引起气隙磁场不均匀,由电磁感应理论可知,不平衡的磁场作用在定转子上会产生不平衡磁拉力,使电机发生异常振动,故电机的振动信号可间接反映内部磁场变化,进而有利于判断电机内部是否发生气隙偏心故障.主要分析了振动信号与偏心故障间的关系,先分析电机气隙大小对磁场的影响,计算出振动作用力大小;再通过故障模拟平台测得数据对理论分析得出的故障特征频率进行验证;总结了气隙偏心故障与电机机械振动现象间的关系.     

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).     

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.