A growth mark method for studying growth mechanism of carbon nanotube arrays

A novel and simple growth mark method was developed to make marks during the growth process of carbon nanotube arrays. These marks can be read out under scanning electron microscope or optical microscope. Based on this method, the growth rates at different temperatures and under different acetylene partial pressures were measured, from which the activation energy and the order of reaction were determined. Based on our experimental results, the growth of carbon nanotube arrays in our experimental condition could not be diffusion-limited. The measured activation energy could possibly be attributed to the heterogeneous decomposition of acetylene over the catalyst particle. Furthermore the marked array with special segmental structure may be found some applications in the future.     

The kinetics of B‐a and P‐a type copolybenzoxazine via the ring opening process

The structure of benzoxazines is similar to that of phenolic resin through thermal self‐curing of the heterocyclic ring opening reaction that neither requires catalyst nor releases any condensation byproduct. These polybenzoxazine resins have several outstanding properties such as high thermal stability and high glass transition temperature. To better understand the curing kinetics of this copolybenzoxazine thermosetting resin, dynamic and isothermal differential scanning calorimetry measurements were performed. Three models, the Kissinger method, the Flynn–Wall–Osawa method, and the Kamal method, were used to describe the curing process. Dynamic kinetic activation energies based on Kissinger and Flynn–Wall–Osawa methods are 72.11 and 84.06 KJ/mol, respectively. The Kamal method based on an autocatalytic model results in a total order of reaction between 2.66 and 3.03, depending on curing temperature. Its activation energy and Arrhenius preexponential are 50.3 KJ/mol and 7959, respectively. © 2004 Wiley Periodicals, Inc. J Appl Polym Sci 95: 730–737, 2005     

Chemical Composition Determination at the Bottom Region of a Recovery Boiler Furnace by Direct Minimization of Gibbs Free Energy

An optimization strategy has been applied to describe the chemical composition at the furnace bottom in the Kraft recovery boiler of a pulp production process. The concentrations of each involved chemical species were calculated through an optimization approach, minimizing the Gibbs free energy of the system. Various systems were proposed and tested, assuming different chemical species and phases number. Because serious initialization problems were found at this stage for some of the proposed systems, an optimization heuristic method (PSO) was used for the first approach to the problem. Once the appropriate phases number and chemical species in the system were determined, the initialization problems disappeared and the use of a deterministic optimization method (SQP) became viable. The proposed approach has shown to be satisfactory to reproduce industrial data and also data reported in the open scientific literature.     

集中供热系统适量供热调节技术

集中供热的采暖用户实行计量收费并且具有自调节能力以后,必须要有与用户调节相匹配的运行调节手段,才能实现系统的适量供热.结合集中供热常用的系统形式,分别分析用户、热网及热源在各种运行方式下的调节特性及节能潜力,得出室内系统变流量、循环水泵变转速运行时节能量最高,并给出循环水泵定转速运行及变转速运行下的控制系统方框图.最后指出,应该针对新型供热系统和旧有供热系统的特点,制定相应的整体综合调节策略,才能实现节能最佳.     

Molten salts/ceramic-foam matrix composites by melt infiltration method as energy storage material

A new type of high temperature energy storage material was obtained through the melt infiltration method, using compounding SiC ceramic foam as matrix and Na₂SO₄ as phase change material. The resulting composite material was measured by XRD, SEM, TG-DSC methods. The experimental results indicate that the composite is composed of silicon carbide, sodium sulfate and square quartz, and no chemical reactions occurs between Na₂SO₄ and SiC matrix. Na₂SO₄ has a good bonding with the SiC ceramic foam matrix. As the composite material is characterized by high thermal energy storage density and high thermal conductivity, it is suit for energy storage under high temperature. Funded by the “863” Hi-Tech Research and Development Program of China (2008AA05Z418)     

制造任务分解与制造单元级资源配置协同优化

针对网络化制造环境下制造任务分解与资源配置脱节的问题,提出了制造任务逐层分解与制造单元级资源配置协同优化的方法,建立了协同优化流程.在对制造任务特点进行分析的基础上,建立了制造任务模型和制造单元资源模型,建立了多目标优化模型和目标的综合评价体系,利用在遗传算法求解搜索过程中所获得的动态信息进行综合评价,并随着求解搜索过程的深入对变异幅度进行调整,以达到全局优化和加快收敛速度的目的.最后以实例验证了该方法的可行性与有效性.     

中央空调系统节能的蚁群优化控制方法

针对中央空调系统运行时变性、非线性、多变量、大滞后等特性,提出了采用启发式全局寻优的蚁群优化算法对整个系统进行能耗寻优.通过建立空调系统能耗数学模型,采取蚁群算法对模型能耗最小化寻优,分析了信息素变挥发系数算法的收敛性,指出了算法以概率1收敛到最优解.同时对系统进行了控制结构改造及运行测试,结果表明,新的控制方法使空调系统能根据负荷变化进行参数动态调整,实现各设备运行匹配良好及工况较佳的目的,平均节能率达22.3%,获得较好的节能效果,对现有中央空调控制系统的节能改造具有借鉴作用.     

考虑初始弯曲矩形薄壁钢管砼柱管壁屈曲分析

实际工程中的钢管都是有初始弯曲的,初始弯曲的存在会降低薄壁钢管混凝土柱的承载力.采用能量法对具有初始弯曲管壁的屈曲性能进行了分析,分析结果表明,初始弯曲的存在会使管壁的宽厚比降低30%左右.     

一种多元复合地基复合模量的计算方法

多元复合地基的沉降计算依赖于其复合模量的取值.目前多元复合地基复合模量计算均未考虑桩对桩间土的侧向挤密作用,因而其沉降计算结果与实际值相差较大.而考虑桩体与桩间土的侧向挤压作用,依据线弹性变形理论,推求的多元复合地基的复合模量公式应用于工程实例,结果表明,该方法是合理可行的,并且存在着参数易于确定、方法简便、机理清楚的特点.     

基于神经网络和支持向量机的电能质量组合评价

电能质量在当代越来越受到重视.根据电能质量的概述,提炼出电能质量评价指标体系,并基于组合评价的原理,运用BP神经网络和支持向量机对其进行评价,通过检验,证明了评价方法的有效性.