LASER ENHANCED ELECTROCHEMICAL MACHINING PROCESS

An experimental apparatus was designed and built for the hybrid process of laser enhanced electrochemical machining (ECM). Comparison experiments had been done between solely ECM and laser enhanced ECM. The machining performance of hybrid process was investigated and compared with solely ECM. The principle of the hybrid process was exposed by analyzing the microstructure of machining surface. The results show that the hybrid process has advantages in machining accuracy, surface quality, and machining efficiency.     

调幅系数为任意值的调幅波研究

本文讨论了调幅系数为任意值的调幅波，给出了它的表达式，频谱与调幅系数，调制效率和信噪比增益的计算公式。     

烧结机蒸汽系统新老余热管网并网改造

针对烧结机新老蒸汽系统各自独立，使用效率低，不能充分发挥效能的状态，提出了蒸汽系统新老余热管网并网改造，经过一年多的运行，取得了显著的效果。     

新增探明储量技术采收率主控因素

在申报探明可采储量时，关键是采收率的取值，由于油藏处在勘探评价或开发初期，受资料所限，采收率只能是应用经验公式法、经验取值法、类比法和数值模拟法求取，然后综合确定一个值，在求取过程中关键是明确此阶段采收率的主控因素，从而相对准确地求取采收率值。通过分析，明确了探明储量技术采收率的主控因素为油藏驱动类型、储层渗透率、储层非均质性、原油地下粘度及井网密度，为此阶段科学评价采收率奠定了基础。     

板型燃料组件内部温度场数值模拟

以板型燃料组件为研究对象，采用商用流体力学计算程序CFX5对板型燃料组件内部温度场进行数值模拟。数值计算结果表明：燃料组件不同流道的流速分布和温度分布均较均匀，单一流道的流速分布和温度分布也较均匀。燃料板所构成的各流道从外到内流速变化不太大，在中间流道内流速稍小一些，但差值很小；燃料组件单一流道内的流速在壁面附近快速减小，壁面上流速为0。燃料板和定位梳的温度最高，侧板温度与板间流体温度相近，侧板外侧的流体温度较低。     

旱地农业降水高效利用技术应用研究

旱地农业建设必须借助科技进步，提高天然降水的有效利用，具体应围绕提高降水利用率和水分利用效率，在积极应用传统旱地农业技术的基础上，加强高新技术和常规技术相结合，重点推广雨水集蓄利用技术。     

基于CFD分析的轴流式螺旋叶轮设计

针对一种井下马达的轴流式螺旋叶轮进行了理论计算，并利用CFD方法对其进行了紊流数值模拟。根据CFD分析结果对理论计算的结果进行了修正，并通过比较同一工况下不同螺旋角叶片的水力效率，得出了在满足设计要求条件下的最优螺旋角。通过试验，验证了CFD分析在计算和优化设计此种轴流式螺旋叶轮的有效性，并具有指导意义。     

A hierarchical model for structure learning based on the physiological characteristics of neurons

Almost all applications of Artificial Neural Networks (ANNs) depend mainly on their memory ability. The characteristics of typical ANN models are fixed connections, with evolved weights, globalized representations, and globalized optimizations, all based on a mathematical approach. This makes those models to be deficient in robustness, efficiency of learning, capacity, anti-jamming between training sets, and correlativity of samples, etc. In this paper, we attempt to address these problems by adopting the characteristics of biological neurons in morphology and signal processing. A hierarchical neural network was designed and realized to implement structure learning and representations based on connected structures. The basic characteristics of this model are localized and random connections, field limitations of neuron fan-in and fan-out, dynamic behavior of neurons, and samples represented through different sub-circuits of neurons specialized into different response patterns. At the end of this paper, some important aspects of error correction, capacity, learning efficiency, and soundness of structural representation are analyzed theoretically. This paper has demonstrated the feasibility and advantages of structure learning and representation. This model can serve as a fundamental element of cognitive systems such as perception and associative memory.     

房间空调器高效节能技术分析

本文主要介绍了高效节能型空调器的优化设计，包括选用高效压缩机、增大换热面积，增大风量、管路的合理设计，旨在提高制冷量，降低功耗，提高能效比。     

Industrial energy efficiency: the need for investment decision support from a manager perspective

Global competition, commitment to the Kyoto Protocol and a deregulated, integrated European electricity market will in all probability increase the demand for energy efficiency on the part of companies in Sweden. Investment decisions are an important part of meeting the new demands, because they decide the future efficiency of industrial energy systems. The objective of this study is to investigate, from a managerial perspective, the need to improve decision support in some industries, which can help to facilitate and improve investment decisions concerning energy efficiency. This work has been conducted through in-depth interviews with representatives for a number of energy-intensive companies and non-energy-intensive companies from different sectors. One need that was identified was the improvement of working methods in order to support the decision-making process. Here, external players seem to be playing an increasingly important role. Access to correct information, better follow-up activities, and transparent, understandable calculations are also considered to be important. The study will form the foundation for subsequent work on decision support and energy efficiency in industry.