数控车削过程再生型颤振稳定性建模与仿真

考虑瞬态切屑厚度变化和刀具角度变化对颤振的影响,基于再生型颤振机理建立了精确实用的数控外圆车削动力学模型.在此基础上应用数字仿真技术开发了车削颤振分析专用软件包,并结合相关试验数据进行了仿真分析.仿真结果表明,极限切宽和主轴转速之间具有明显的非线性关系,且主轴转速对颤振影响最为明显;切削稳定性随主振系统的等效刚度或阻尼比增加而增大,但当方向系数、切削重叠率或切削刚度增加时,稳定性反而降低,同时叶瓣曲线的形状也随之改变;但主振系统固有频率未影响曲线形状,它的增大使曲线整体右移.这为相应抑振措施提供了必要的理论依据.     

基于概率方法的机器人铣削加工颤振稳定性研究

将可靠性概率方法引入到机器人铣削模态耦合颤振预测中,首先建立可靠性模型,得到极限状态方程.其次,应用四阶矩法计算其可靠度和灵敏度以分析各参数对于铣削加工稳定性的影响.最后,基于机器人铣削加工骨头的工程背景给出了一个算例研究.结果表明:机器人两自由度方向的刚度、切削力系数和加工进给方向会影响铣削加工的稳定性;在一定范围内,增加X方向刚度,降低Y方向的刚度,减小切削力系数以及合理选择加工进给方向有利于避免模态耦合颤振的发生;系统对于切削力系数的变化相较于X,Y方向刚度更加敏感,对稳定性的影响更显著.     

薄壁零件铣削三维颤振稳定性建模与分析

以低刚度薄壁零件为研究对象,基于加工原理建立精确的铣削过程薄壁零件三维动力学模型,并在此基础上采用全离散解析法对颤振稳定域叶瓣图进行仿真分析及实验验证.结果表明:薄壁零件铣削加工系统的动态特性决定其动力学模型,铣削加工过程主轴转速与颤振临界轴向切削深度之间存在非线性关系,主轴转速对颤振稳定性影响较明显.当系统模态质量、阻尼比及固有频率增大时,颤振稳定性相应加强,同时叶瓣图形状分布随之改变.该理论模型对薄壁零件铣削加工过程切削参数的合理选择,表面加工质量和加工效率的提高具有一定指导意义.     

功率超声珩磨单颗磨粒再生型颤振建模

作为一种强烈动态自激振动,颤振在功率超声珩磨中极易发生且对零件加工质量和机床加工效率有广泛的消极影响.以切削颤振为基础,针对颤振中的再生型颤振,结合其在功率超声珩磨过程中的发生,以单颗磨粒作为研究对象,建立了功率超声珩磨单颗粒再生型颤振数学模型,并且确定了其运动方程.为抑制颤振的发生打下了坚实的基础,从而进一步提高被加工零件的表面质量,提高机床的加工效率.     

机器人铣削加工稳定性影响因素

机器人铣削加工时容易发生模态耦合颤振,对刀具和机器人本体造成伤害,从而导致机器人定位精度降低.为了研究机器人铣削加工稳定性的影响因素,进行大量的铣削加工实验,研究主轴转速、轴向切深、进给速度、刀具悬长、顺逆铣以及切削材料等因素对于机器人铣削加工稳定性的影响.结果表明:在一定范围内,主轴转速越低、进给速度越快、轴向切深越大、刀具悬长越短、采用逆铣、材料硬度越大越容易导致模态耦合颤振的发生,且主轴转速和刀具悬长对于模态耦合颤振影响显著.     

基于Z-map的弱刚性系统高速周铣表面加工精度

基于工件Z-map模型和考虑再生作用的铣削动力学模型,通过数值方法求解周铣动力学微分方程,在Matlab平台上实现了周铣加工三维表面形貌预测.参考零阶解析(ZOA)方法获得的颤振稳定性叶瓣图,研究了主轴转速与表面形貌的关系.研究结果显示:选择系统固有频率对应的主轴转速,虽然不易发生颤振,但表面加工误差较大；选择最大稳定性叶瓣的左侧对应的主轴转速,不仅稳定性好,而且表面加工误差也较小.这些研究结果得到了铣削试验的验证,可作为工程应用时选择优化切削参数的理论依据.     

具有立方非线性机翼颤振的局部分岔

针对飞机飞行时机翼振动问题，研究了在不可压缩流中有立方非线性刚度二元机翼颤振系统的局部分岔，取空气速度和线性俯仰刚度系数作为分岔参数．采用后继函数法对降维后求得系统分岔点类别进行定性分析，结果表明3个分岔点都为稳定的焦点．对分岔点处中心流形约化方程进行化简得到霍普分岔的A规范形，研究了系统参数对极限环颤振的稳定性及幅值的影响，得到了机翼颤振系统在普适开折参数平面的分岔图．发现了抑制颤振振幅和临界颤振速度大小的系统敏感参数，提出了降低颤振幅值和避免不稳定极限环运动的措施。     

基于主轴系统动态行为的高速铣削工艺参数优化

提出了一种基于主轴系统动态行为的高速铣削工艺参数优化方法.基于主轴系统动态行为,以无颤振状态下随转速变化的极限切削深度最大及生产率最大为综合优化目标函数,构建集成主轴系统动态行为与工艺参数交互影响特性的优化模型,运用人工蜂群算法对铣削工艺参数进行优化计算,得到无颤振状态下生产率最大的最优铣削工艺参数组合方案.实例及试验结果表明,采用基于主轴系统动态行为的高速铣削工艺参数优化方法可以获得最优铣削工艺参数,该参数在实际切削时不会发生颤振.     

变进给切削过程的动态稳定性——关于韧性材料可靠断屑方法研究之三

通过切削试验分析研究了变进给切削过程的动态稳定性,决定了颤振域限计算和测量了极限切削宽度和颤振频率。建立了重叠系数公式,找出了重叠系数与极限切削宽度之间的关系,用“仰制—激发—仰制”颤振的新假设来解释变进给切削过程的动态稳定性。并研究了在自激振动下强迫振动的影响,从而得出了变进给切削过程的动态稳定性高于匀进给切削过程的动态稳定性的结论。 最后还讨论了这一研究对实际生产的应用价值。     

GMA再生型颤振系统的稳定性及其控制

综合考虑再生型颤振对工件及超磁致伸缩微致动器的影响,建立了超磁致伸缩微致动器车削颤振系统非线性动力学模型。根据Lyapunov第一次近似稳定性定理及霍尔维茨判据对其进行了稳定性分析及控制研究,讨论了系统参数对GMA颤振系统稳定性的影响。同时采用简单自适应控制方法对颤振系统进行了控制研究。结果表明:车削的极限宽度、工件的质量及其等效刚度对系统的稳定性有明显的影响;简单自适应控制方法可有效抑制再生型颤振对系统稳定性的影响。     

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.