电动汽车电机驱动系统关键技术

 近年随着我国交通事业的飞速发展,交通领域成为我国能耗增长最快的领域。能源危机和环境污染的加剧,使电动汽车研发成为世界汽车工业可持续发展的战略性项目,世界各国也普遍将发展电动汽车确立为保障能源安全和转型低碳经济的重要途径。     

第七届“中国光谷”国际光电子博览会暨论坛即将开幕

第七届“中国光谷”国际光电子博览会暨论坛将于2010年11月2日至5日在武汉科技会展中心举行,本届活动的主题是：“引导自主创新、发展低碳经济、推进产业合作、聚全球资源、做世界光谷”。“光博会”的指导思想是：以科学发展观为总揽,贯彻实施国家“中部崛起”、“两型社会综合配套改革试验”、     

基于RBF神经网络的转炉冶炼中低碳铬铁终点磷含量预报模型的研究

中低碳铬铁冶炼工艺复杂,杂质磷含量的高低是影响铬铁产品质量的重要因素;通过研究转炉冶炼中低碳铬铁铁水脱磷预处理的反应特性及热力学条件,分析了影响中低碳铬铁合金终点磷含量的重要因素;基于中钢吉铁辽阳公司转炉冶炼中低碳铬铁的生产工艺及样本数据,建立了基于RBF人工神经网络的转炉冶炼中低碳铬铁终点磷含量预报模型,实现了对冶炼过程终点中低碳铬铁磷含量的在线预报与分析;仿真结果表明,该模型预报精度在±0.003%范围内命中率达到85.7%,为改进冶炼工艺、提高产品质量提供了重要的理论依据。     

用不同类型的分子筛催化剂催化转化生物油制烯烃

研究了用一系列不同类型的分子筛催化剂催化转化制取低碳烯烃的过程,测试的催化剂包括HZSM-5、MCM-41、SAPO- 34和Y型分子筛．按照低碳烯烃的绝对收率和选择性,催化剂的活性排序为：HZSM-5>SAPO-34>MCM-41>Y型分子筛．研究表明,使用HZSM-5分子筛催化剂,获得的生物油最大低碳烯烃收率约为0.22 kg/(kg生物油),低碳烯烃的选择性约为50%,且生物油几乎实现完全转化．同时还研究了反应条件对生物油制低碳烯烃的影响．为了弄清催化剂结构与和低碳烯烃形成之间的关系,对相关催化剂进行了详细表征,对生物油热裂解和催化裂解过程进行了详细比较．     

温室效应的物理基础

2009年12月18日在哥本哈根举行的全球气候会议中心议题是二氧化碳减排,提倡低碳经济,以缓解全球气候变暖.全球气候为什么会变暖呢?人所共知这是温室效应所闯的祸.下面从物理的角度对温室效应加以分析.     

电石炉气制清洁燃料的工艺对比与分析

着眼于获取电石炉气高效经济利用方案,本文从多角度对比分析了电石炉气生产二甲醚、低碳混合醇和费托合成三个工艺系统。通过Aspen Plus模拟三个工艺,获得物料转化及能量消耗数据。结果表明,二甲醚工艺系统碳收率较高,费托合成工艺系统的综合能耗和综合碳排放较低,综合考虑产品产率、单位/多产品综合能耗和单位/多产品综合碳排放,低碳混合醇工艺系统优于其他两者,如果考虑产品后期提纯和碳捕集过程,则二甲醚工艺作为电石炉气利用方案的优势更加明显。     

微波介电谱应用于低碳醇化合物的分析

研究了甲醇、乙醇等低碳醇类化合物在微波传输过程中对传输散射参数(又称S参数)的影响,利用微波透射法测定了S参数,根据其变化探讨了微波介电谱应用于低碳醇化合物分析的可能性,建立了一种基于散射参数的微波介电化学分析法。实验数据表明,微波的S参数与甲醇、乙醇等低碳醇化合物的浓度在一定范围内呈现良好的线性关系。     

基于STM32F的企业楼宇节能控制系统设计

针对企业楼宇耗电量严重的问题,研究设计了基于STM32F的楼宇节能控制系统。该系统采用红外传感模块统计楼宇内人数,使用光控模块采集光照度,通过微处理器实时采集人数和光照强度信号,然后进行数据处理和算法分析,从而实现楼宇照明灯具的自动控制;同时采集用电电器的工作状态信息,若电器长时间处于待机状态,系统将会自动切断其供电电源。实验结果表明：企业楼宇节能控制系统提高了电能利用率,实现了楼宇的低碳节能。     

加强ADS 技术研究促进核能大规模可持续发展

 一、引言
1. 核能在低碳能源政策中的重要作用
2000 年,全世界60 亿人口消耗了100 亿吨标准煤;2006 年,65 亿人口消耗了117 亿吨标准煤。预计到2050 年,世界能源消耗将比2000 年增加一倍。为了应对世界能源消耗的快速增长和温室气体减排的巨大压力,保证能源供应的安全,许多国家和地区都提出了低碳能源政策。煤电及核电是24小时全天候供电的主要基础。核裂变能是重要的低碳能源,正在为全世界提供大约17%的电力。核能对温室气体减排的重要性不容置疑。
我国的核电事业正在进入快速发展期。核电发展的中期目标从原计划2020 年核电总装机容量达到4000 万千瓦增加到7000 万千瓦。根据对国家中长期能源发展形势和前景的分析,在中国工程院的咨询报告《2050 年我国的能源需求》中指出,我国的核电占一次能源总量的比重要求提高到2050 年的12.5%(占电力装机容量的20%)。     

P型发动机环形燃烧室出口温度场的研究

出口温度场是军、民用燃气轮机燃烧室的一项很重要性能要求。本文着重论述P型发动机环形燃烧室(以下简称环P)出口温度场的热区、热点、径向温度分布、稳定性及结构和燃油喷嘴的影响。对批生产型发动机改型,可控制涡轮出T_4~*分布主要指标变化范围来保证燃烧室出口T_3~*分布。     

基于灰色神经网络模型的企业碳排放峰值预测

为预测企业碳排放峰值,帮助企业设计碳排放的减排路径,需要对企业碳排放峰值预测方法进行研究。当前采用基于TFDI模型的预测模型对企业碳排放峰值进行预测,预测过程中无法全面考虑企业碳排放影响因素,导致预测企业碳排放峰值出现误差。为此,提出一种基于灰色神经网络模型的企业碳排放峰值预测模型。该模型是以灰色模型为基础,与神经网络相融合构建的灰色神经网络,将模型中企业碳排放原数据进行叠加,并用微分方程表示,将VSTE算法作为灰色神经网络模型预测的基础算法,计算企业碳排放路径碳排放值,满足高斯分布随机函数,以此进行企业碳排放峰值的预测。实验结果证明,所提模型可以准确预测企业碳排放峰值,有效帮助企业设计碳排放减排路径。     

基于光纤传感器的压缩机状态监测

往复式压缩机是石油化工企业中一种应用广泛的大型动力设备,其故障一般可通过振动和温度异常进行判别。主要介绍了光纤传感器的基本原理,并提出了一种基于Bragg光纤光栅传感器的故障状态监测方法。对某石化企业的往复式压缩机进行了在线监测,对其温度和振动进行监测,结果均符合正常工作指标。     

基于空间自适应非凸正则项全变差相干斑噪声抑制

全变差正则化方法是相干斑噪声抑制研究的热点.非凸正则项能够更好地保持图像的边缘、纹理细节信息;空间自适应正则化参数可以根据像素点所在的区域,合理地控制噪声抑制程度,从而提高噪声抑制效果.本文结合非凸正则项和空间自适应正则化参数提出了一种新的全变差相干斑噪声抑制模型,并且给出了一种模型求解的数值算法.数值试验结果表明该模型能够获得更好的相干斑噪声抑制效果.     

The Matrix Kadomtsev–Petviashvili Equation as a Source of Integrable Nonlinear Equations

Abstract

A new integrable class of Davey–Stewartson type systems of nonlinear partial differential equations (NPDEs) in 2+1 dimensions is derived from the matrix Kadomtsev– Petviashvili equation by means of an asymptotically exact nonlinear reduction method based on Fourier expansion and spatio-temporal rescaling. The integrability by the inverse scattering method is explicitly demonstrated, by applying the reduction technique also to the Lax pair of the starting matrix equation and thereby obtaining the Lax pair for the new class of systems of equations. The characteristics of the reduction method suggest that the new systems are likely to be of applicative relevance. A reduction to a system of two interacting complex fields is briefly described.     

Thermodynamic Performance Analysis of a Waste Heat Power Generation System (WHPGS) Applied to the Sidewalls of Aluminum Reduction Cells

To recover energy from the waste heat of aluminum reduction cells, a waste heat power generation system (WHPGS) with low boiling point working fluid based on Organic Rankine Cycle was proposed. A simplified model for the heat transfer around the walls of aluminum reduction cells and thermodynamic cycle was established. By using the model developed and coded in Matlab, thermal performance analysis of the system was conducted. Results show that the electrolyte temperature and the freeze ledge thickness in the cell can significantly affect the heat absorption of the working fluid in the heat exchange system on the walls. Besides, both the output power and the thermal efficiency of the power generation system increase with the system pressure. The output power and thermal efficiency of the system can also be affected by the type of working fluid used in the system. Working fluids for the best system performance under different output pressures were determined, based on the performance analysis. This WHPGS would be a good solution of energy-saving in aluminum electrolysis enterprises.     

A new periodic structure composite material with quasi-phononic crystals

Phononic crystals (PCs) provide a new method for vibration insulation and noise reduction. PCs commonly have small bandgap width, and understanding how to expand this bandgap, including the ultra-low band gap, is crucial for applying PCs to vibration reduction in engineering structures. A new periodic structure composite material quasi-PCs is proposed and the high polymer concrete with quasi-PCs structure is conducted. Vibration measurements for the new periodic structure composite material demonstrate that quasi-PC behavior can open the ultra-low frequency band gap. The new periodic structure composite material can be used to reduce vibrations in engineering field.     

机载光电稳瞄平台减振技术研究北大核心CSCD

机载光电稳瞄平台受飞机作战环境的干扰因素,会引起设备环架的振动,对光电平台载荷视轴的稳定性及跟踪精度影响很大,减振的主要任务是有效隔离环境振动。与传统橡胶减振器比较,文章提出了一种新型机载光电稳瞄平台的柔性减振设计。并通过ANSYS仿真软件对新的减振模型进行了模态仿真分析,通过振动试验对设计的性能进行了有效评估,测试结果与仿真评估误差为0.56%,说明该设计对机载光电稳瞄平台具有减振性。     

Graphene enterprise: mapping innovation and business development in a strategic emerging technology

This paper explores enterprise development and commercialization in the field of graphene. Firm characteristics and relationships, value chain positioning, and factors associated with product entry are examined for a set of 65 graphene-oriented small and medium-sized enterprises located in 16 different countries. As well as secondary sources and bibliometric methods to profile developments in graphene, we use computerized data mining and analytical techniques, including cluster and regression modeling, to identify patterns from publicly available online information on enterprise web sites. We identify groups of graphene small and medium-sized enterprises differentiated by how they are involved with graphene, the materials they target, whether they make equipment, and their orientation toward science and intellectual property. In general, access to finance and the firms’ location are significant factors that are associated with graphene product introductions. We also find that patents and scientific publications are not statistically significant predictors of product development in our sample of graphene enterprises. We further identify a cohort of graphene-oriented firms that are signaling plans to develop intermediate graphene products that should have higher value in the marketplace. Our findings suggest that policy needs to ensure attention to the introduction and scale-up of downstream intermediate and final graphene products and associated financial, intermediary, and market identification support. The paper demonstrates novel data methods that can be combined with existing information for real-time intelligence to understand and map enterprise development and commercialization in a rapidly emerging and growing new technology.     

Kaup-Kupershmidt方程的非局域对称及新的精确解

利用机械化算法得到了Kaup-Kupershmidt方程的非局域对称、约化,通过解约化方程得到了该方程的一些新的精确解.     

On competitive relationship networks: A new method for industrial competition analysis

Other than co-operation, competition is a central issue in industry and commerce today, which always exists among enterprises that provide homogeneous products or services. The competitive relationships of enterprises determine the rivalry nature of dominant interactions among them; that is, rivalry actions are the main interactions while co-operation actions generally occur on an occasional basis and do not essentially change this competitive nature of their relationships. This paper reports a detailed study of a competitive relationship network of 578 certified Independent Software Vendors (ISVs) in Guangzhou city, China, which shows some prominent scale-free (SF) structural properties and complex dynamical behaviors. In this report, the economic background and the significance the competitive relationship network model will be described; the underlying dynamical mechanism of the network model will be analyzed, showing some advantages of the new model for industrial organization theory (IO) over the traditional ones. Finally, some related issues, such as the static properties of the competitive relationship network and some of its graph properties, will be discussed.