分光计实验中望远镜的快速调节方法——台先镜后法

在分光计实验中,调整望远镜光轴与分光计主轴大致垂直是最关键、最难调的一步．实验中容易观察到平面镜一个面反射回的“十”字像,却较难调出两个面反射回的“十”字像．本文利用光路图进行了分析,提出了一个快速、有效的调整方法——台先镜后法．     

光学元件狭缝柔性调节机构的设计与分析

设计了一种狭缝柔性结构的光学元件调节机构,使光学元件在具备较高调节精度的同时,保持较高的导向精度。采用弹性力学应力函数法分析了狭缝柔性结构的刚度,以径向刚度与轴向刚度的比值为目标函数,对狭缝柔性结构尺寸参数进行了优化,在不超过柔性结构材料屈服应力等约束条件下,刚度比最优值达到1 573.6,较大的刚度比值可以减小调节机构的耦合位移,从而提高机构的导向精度。该结构加工装配方便,可实现三自由度(θx-θy-Z)调节。对优化后的柔性结构进行仿真分析,结果表明:径向刚度与轴向刚度比值的仿真值为1 660.4,解析值与仿真值误差为5.23%,证明了刚度分析方法的有效性。优化后的结构,轴向调节行程为2.09 mm,绕x轴偏转角度调节行程为±16.6 mrad,绕y轴偏转角度调节行程可达到±14.4 mrad,满足光学元件调节的大行程要求。     

高效液相色谱法和硫氰酸钾滴定法检测煤中氯的比较研究

比较了测定煤中氯的高效液相色谱(HPLC)法和硫氰酸钾滴定法。以密闭氧弹燃烧或艾氏卡剂熔融分解样品，分别以高效液相色谱法和硫氰酸钾滴定法测定煤中氯，通过对国家标准物质GBW11118、GBW11119、GBW11120分析结果的比较及t检验，表明两方法无显著性差异。     

Numerical investigation of the physics of rotating-detonation-engines

Rotating-detonation-engines (RDE’s) represent an alternative to the extensively studied pulse-detonation-engines (PDE’s) for obtaining propulsion from the high efficiency detonation cycle. Since it has received considerably less attention, the general flow-field and effect of parameters such as stagnation conditions and back pressure on performance are less well understood than for PDE’s. In this article we describe results from time-accurate calculations of RDE’s using algorithms that have successfully been used for PDE simulations previously. Results are obtained for stoichiometric hydrogen–air RDE’s operating at a range of stagnation pressures and back pressures. Conditions within the chamber are described as well as inlet and outlet conditions and integrated quantities such as total mass flow, force, and specific impulse. Further computations examine the role of inlet stagnation pressure and back pressure on detonation characteristics and engine performance. The pressure ratio is varied between 2.5 and 20 by varying both stagnation and back pressure to isolate controlling factors for the detonation and performance characteristics. It is found that the detonation wave height and mass flow rate are determined primarily by the stagnation pressure, whereas overall performance is closely tied to pressure ratio. Specific impulses are calculated for all cases and range from 2872 to 5511 s, and are lowest for pressure ratios below 4. The reason for performance loss is shown to be associated with the secondary shock wave structure that sets up in the expansion portion of the RDE, which strongly effects the flow at low pressure ratios. Expansion to supersonic flow behind the detonation front in RDE’s with higher pressure ratios isolate the detonation section of the RDE and thus limit the effect of back pressure on the detonation characteristics.     

SOFC/GT/ST三重复合动力系统特性研究

本文研究SOFC/GT/ST三重复合动力系统.首先基于Aspen Plus建立了SOFC/GT/ST的性能分析模型,分析了各主要参数对SOFC/GT/ST复合动力系统性能的影响规律.研究结果表明:复合动力系统尽量在高的压力,温度在900℃左右的条件下,有较高系统效率;较高的燃料利用率(Ut)有利于提高系统效率.本文研究...     

GROIN: a fast optical adjustment of a Kirkpatrick–Baez set‐up

A very simple and compact optical device aimed at the fast adjustment, alignment and bending of the mirrors of a Kirpatrick–Baez system used in the X‐ray domain is described.     

自由摆的平板控制系统设计

为了实现对基于自由摆的平板的控制,建立了基于自由摆的平板控制系统.首先分析平板的控制转角与自由摆转角的关系,推导出关系式,再对控制单元、反馈单元进行分析比较给出方案,采用32位LPC2138(ARM7)处理器为平板控制系统的中央控制单元,实现由高精度电位器测量出摆动角度后由步进电机控制的平板在周期摆动中做相应反馈调整,然后在现有器件的基础上编制出控制软件,在设备上进行调试,最后对系统的精度进行分析并进行实际测量.测量结果表明激光笔在摆动中照射在靶板上的光斑偏离基准线最大0.89cm,基本满足对平板的控制要求.     

不同类型石油卟啉标志物的光谱、质谱及色谱特征

本文利用紫外－可见光谱、质谱及色谱对ETIO、DPEP及Rhodo型石油卟啉标志物的特征性和相关性进行了研究，结果指出，在可见光谱带四个特征峰的吸收强度ETIO型为Ⅳ＞Ⅲ＞Ⅱ＞Ⅰ，DPEP型为Ⅳ＞Ⅱ＞Ⅲ＞ⅠRhodo型为Ⅲ＞Ⅱ＞Ⅳ＞Ⅰ，在反相高效液相色谱的体系中流出顺序为，先流出的是Rhodo型卟啉，其次是ETIO和DPEP型。不同类型卟啉的质谱特征是，各卟啉化合物基本以分子离子峰出现，极少碎片峰，同类卟啉化合物按正态分布。     

Asymmetric conditional volatility in international stock markets

Recent studies show that a negative shock in stock prices will generate more volatility than a positive shock of similar magnitude. The aim of this paper is to appraise the hypothesis under which the conditional mean and the conditional variance of stock returns are asymmetric functions of past information. We compare the results for the Portuguese Stock Market Index PSI 20 with six other Stock Market Indices, namely the SP 500, FTSE 100, DAX 30, CAC 40, ASE 20, and IBEX 35. In order to assess asymmetric volatility we use autoregressive conditional heteroskedasticity specifications known as TARCH and EGARCH. We also test for asymmetry after controlling for the effect of macroeconomic factors on stock market returns using TAR and M-TAR specifications within a VAR framework. Our results show that the conditional variance is an asymmetric function of past innovations raising proportionately more during market declines, a phenomenon known as the leverage effect. However, when we control for the effect of changes in macroeconomic variables, we find no significant evidence of asymmetric behaviour of the stock market returns. There are some signs that the Portuguese Stock Market tends to show somewhat less market efficiency than other markets since the effect of the shocks appear to take a longer time to dissipate.     

The Design and Analysis of Benchmark Experiments

The assessment of the performance of learners by means of benchmark experiments is an established exercise. In practice, benchmark studies are a tool to compare the performance of several competing algorithms for a certain learning problem. Cross-validation or resampling techniques are commonly used to derive point estimates of the performances which are compared to identify algorithms with good properties. For several benchmarking problems, test procedures taking the variability of those point estimates into account have been suggested. Most of the recently proposed inference procedures are based on special variance estimators for the cross-validated performance. We introduce a theoretical framework for inference problems in benchmark experiments and show that standard statistical test procedures can be used to test for differences in the performances. The theory is based on well-defined distributions of performance measures which can be compared with established tests. To demonstrate the usefulness in practice, the theoretical results are applied to regression and classification benchmark studies based on artificial and real world data.