高精度温度控制的半导体制冷系统实验研究

为解决常规高精密环控系统温度波动大的问题,提出了1种高精度温度控制的半导体制冷系统。该系统基于半导体制冷技术,并结合直流变频压缩机恒温冷水机组。以专家比例-积分-微分(PID)控制方法和制冷量与电加热量双向趋近调节方式进行控制。试制了实验样机,对该系统的制冷性能、供水温度控制精度及系统抗干扰性能进行了实验研究。研究结果表明,系统供水温度波动范围为±0.01℃;开机启动至供水温稳定仅需16 min;2 kW负载瞬间冲击的响应时间为2 min,冲击结束后95%时间内系统供水温度的波动幅度仅为±0.005℃,且未发生超限和震荡现象。     

大功率LED灯强化冷却散热器的创新设计

LED灯由于节能、环保、工作寿命长等特点而倍受社会各界的关注,然而大功率LED灯在工作过程中,除发光外同时产生大量热能,约有80%的能量转化为热能。随着LED的功率以及集成度的提高,LED灯的发热热流密度迅猛增加,其工作过程中散发热量大幅提高,而LED结温(芯片温度)的高低直接影响灯的使用寿命;因此,大功率LED灯的散热问题急需改善。本设计针对LED灯散热问题日益严重的现象而提出,设计出一种自然回流散热系统,使LED灯工作过程中产生的大部分热量通过回流系统散发出去,实验证明该散热系统能取得良好的散热效果。     

LED汽车前照灯的散热机理与模拟

利用热电制冷原理对LED汽车的前照灯进行系统散热模拟,研究LED的结温,半导体制冷器的工作状态,散热器热阻之间的关系。模拟结果表明,利用多级半导体制冷给汽车LED前照灯散热比较有实用价值。     

基于半导体制冷的动力锂电池包散热优化

为提升动力锂电池包的散热性能和能量密度,基于半导体制冷方案,提出一种多目标优化设计方法,对动力锂电池包的排布间距和半导体制冷量进行优化设计。基于建立的半导体制冷方案的热分析模型,采用拉丁超立方试验及径向基函数(radial basis function, RBF)、响应面法(response surface methodology, RSM)、Kriging代理模型方法建立最高温度、最大温差及间距体积的近似模型。以最大温差和间距体积为目标,最高温度为约束建立电池包散热优化模型,运用多目标遗传算法(multi-objective genetic algorithm, MOGA)进行寻优求解,并通过实验验证优化方案仿真结果的可靠性。优化后仿真结果表明：电池模组间距体积减小了32.42%,最大温差降低了13.64%,最高温度降低了0.53%,该方法显著地提升了电池包的散热性能和能量密度。     

大功率LED筒灯散热通道数值模拟及优化设计

基于大功率LED筒灯散热实验建立了筒灯的三维模型,并利用有限元软件FloEFD进行了热学模拟.采用热阻网络分析方法得出LED筒灯散热的薄弱环节,从而有针对性地对筒灯的基板、散热器结构和材质进行了优化设计.实验结果表明,散热器高度为70 mm,翅片为20片,材质选用型号为AL6063,基板采用厚度为0.635 mm时,覆铜层氧化铝板的LED筒灯模型散热效果最好,其结温最高为49.34℃,成本为25.7元,这证明本优化设计过程可以为实际的灯具生产提供理论指导和技术支持.     

大功率白光LED在照明器具中的应用研究

根据一组1 W30lm的大功率白光LED的实测参数,结合PWM调制技术、Buck变换技术及电子器件散热技术,采用JY1604、SG3524集成电路,设计了大功率LED照明系统。实验结果表明:该系统控制的LED电流稳定,控制精度可达±1%;驱动电路输出电流可达1 A,可同时驱动多只大功率LED,且亮度可调;系统散热效果良好,LED连续工作后测量其温升,结果显示温升约为30℃,满足系统散热要求。     

微平板热管热性能的优化分析

针对大功率集成设备的散热瓶颈问题,建立了一种微热管模块数学模型,应用数值模拟方法研究不同加热功率不同风速下的微热管模块热性能。模拟结果表明微热管基板表面的平均温度比铜基板降低7～10℃.微热管基板表面最大温差在3℃以内,表明了微热管在高热流密度时能够有效扩散集中热源并具有优良均温特性。分别分析加热功率,空气流速以及导热翅片对微热管模块传热性能的影响特性,发现微热管模块在热流密度180 W,空气流速2.5 m·s~(-1)以及导热翅片20片时热扩散性能达到最优。模拟表明该微热管模块能够最大限度避免基板的热应力集中,从而保证功率模块的高效平稳运行。     

大功率LED路灯的发展和应用

大功率LED路灯,即单颗功率大于1W以上,采用新型LED半导体光源的路灯。相对于传统高压钠灯、金属卤化物灯来说,大功率LED路灯具有一系列的优越性,因此近年来成为国内外半导体照明领域研究的重点。本文从大功率LED路灯入手,就大功率LED路灯的发展和应用进行探讨,从配光设计、散热结构和驱动电路这三个方面论述了大功率LED路灯推广应用的关键技术,旨在突出大功率LED路灯推广应用的价值。     

大功率半导体激光器恒温系统

采用半导体制冷和风冷混合制冷的方式对大功率半导体激光器进行恒温工作控制.通过实验研究半导体激光器的工作温度保持在45℃以内,控温精度在±0.1℃的状态下稳定工作,半导体激光器输出功率达到15.28W.     

基于热传导设计的LED器件散热研究

大功率LED(Light Emitting Diode)散热技术已成为半导体照明产业发展的一项关键技术。本文设计了一种含热导管的LED散热器,分析了工作原理和结构特点。利用热电类比的方法对该散热器的热阻进行了详细的分析,并且推出了散热器总传热系数的方程式,最后通过实验测试了散热器各特征点的温度,验证了该散热结构设计的可行性与正确性。     

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.