转炉冶炼低碳钢脱磷工艺研究

结合安钢150 t转炉冶炼低碳钢生产实际状况,研究了转炉熔池反应各阶段工艺参数等因素对去磷的影响,通过开展有效的工艺措施实现了良好的实践效果.     

Direct and Indirect Exciton Dynamics in Few‐Layered ReS2 Revealed by Photoluminescence and Pump‐Probe Spectroscopy

Atomically thin‐layered ReS₂ with a distorted 1T structure has attracted attention because of its intriguing optical and electronic properties. Here, the direct and indirect exciton dynamics of a three‐layered ReS₂ is investigated by polarization‐resolved transient photoluminescence (PL) and ultrafast pump‐probe spectroscopy. The various time scales of the decay signals of the time‐resolved PL (<10 ps), with monitoring of the populations of electron–hole pairs (exciton), and the transient differential reflectance (≈1 and 100 ps), with monitoring of the populations of electrons and/or holes in the excited states, are observed. These results reveal the characteristic exciton dynamics: rapid relaxation of direct excitons (electron–hole pairs) and slow relaxation of the momentum‐mismatched indirect excitons accompanied by a one‐phonon emission process. These findings provide important information regarding the indirect bandgap nature of few‐layered ReS₂ and its characteristic exciton dynamics, boosting the understanding of the novel electronic and optical properties of atomically thin‐layered ReS₂.     

一种异构网络多协议并行数据分发方法

跨技术通信迅猛发展推动着单一网络向异构无线网络的转变,该转变极大地提高异构无线设备(如Wi-Fi和ZigBee)的高效共存和协作,但也给异构无线网络中的数据分发问题带来了挑战.由于异构网络节点通信范围差异和低占空比节点周期性睡眠的特点,传统数据分发方法不能高效地利用信道资源而导致较低的分发效率.为了解决这些问题,该文提出一种适用于异构网络的并行数据分发方法.通过数据分发时延和能耗定义新的系统损失函数,并证明了损失函数的合理性,利用信标控制的延迟接收数据包的分发策略,从而实现对周期性睡眠的ZigBee网络进行高效数据分发.进一步地,该文根据动态规划的思想,推导出系统的整体能量损耗和时延的最优值.通过仿真实验证明,在考虑时延和能量损耗的前提下,该文的数据分发方法的性能优于传统的数据分发方法.     

一种基于小波变换的图像去噪算法

利用小波方法去噪,是小波分析应用于工程实际的一个重要方面。针对图像存在大量噪声的情况,阐述小波变换去除信号噪声的基本原理和方法。在综合考虑图像去噪平滑效果和图像的清晰程度的基础上,提出一种多方向多尺度的自适应小波去噪算法。通过试验数据验证了该算法的可行性和鲁棒性。实验结果表明该方法增强了图像的视觉效果。     

大型预应力混凝土闸墩结构模型试验研究

对蒲石河电站大型预应力混凝土闸墩结构进行仿真模型试验研究.根据模型试验测试和有限元计算结果,分析不同的预应力筋张拉工序对闸墩颈部预压效果的影响规律.确定合理的预应力筋张拉工序;研究双侧弧门关闭工况下闸墩颈部受力状态;研究在单侧弧门关闭工况下闸墩结构的超载能力,提出需要改进的结构设计建议.     

A Thermo-Elastic Analysis of the Parallel Surface Thrust Washer

An optical interference method was used to display the distorted film shape in nominally parallel surface thrust washers. The bearings were made of aluminium to accentuate thermal expansion and were carefully lapped flat before use. Both the experimental results and an analysis of the coupled elasticity, Reynolds and energy equations confirm that these bearings operate by the formation of a slightly converging film over the leading 80 percent (or less) of the pad. Fair agreement was obtained between the analysis and previously developed multiple regression equations. Thrust washers for industrial use with random waviness are likely lo perform better than lapped bearings.     

A Study on the Effect of Air on the Dynamic Motion of a MEMS Device and Its Shape Optimization

The authors propose a new design concept for controlling the deflection of a micro-membrane with the aid of its thickness distribution for realizing a prescribed design in the MEMS. As an example, the authors treat a micro air pump that comprises a micro-membrane. The membrane is actuated by an electrostatic force. The membrane deflects and thus the deflection is influenced by the air pressure and the electrostatic field. This is a highly complicated system. To find out a proper thickness distribution, the authors use the genetic algorithm that is appropriate to reduce the searching space of solution.     

The effectiveness of thermal treatment for development of conductive metalized aramid fiber using supercritical fluid carbon dioxide—Fiber-metal adhesive strength improvement

The effect of thermal treatment to improve the metal adhesion into poly-(p-phenylene terephthalamide) (PPTA), e.g. aramid fiber, has been investigated. After palladium(II)-hexafluoroacetylacetonate metal complex, Pd(hfac)₂, seeding into the fiber using supercritical fluid carbon dioxide, scCO₂, a post-thermal treatment was conducted. As a result, after carrying out electroless copper plating, the adhesive strength between polymer substrate and copper layer greatly increased. Also, in order to have a better comprehension on decomposition reactions of Pd(hfac)₂ under supercritical conditions, remains of metal complex were analyzed using electron ionization mass spectrometry technique (EI-MS). EI-MS mass spectra derived from Pd(hfac)₂ gave us useful information about its dissociation reactions and reaction temperature under supercritical conditions. Additionally, to verify the Pd particles seeding in the fiber surface, X-ray photoelectron spectrometry (XPS) analyses were performed. The results confirmed that post-thermal treatment induced Pd particles diffusion and deeper penetration of Pd complex and its fragments into the fiber.     

First-principles investigation on the segregation of Pd at LaFe1-xPdxO3-y surfaces

First-principles calculations were performed to investigate the effect of Pd concentration and oxygen vacancies on the stability of Pd at LaFeO₃ surfaces. We found a much stronger tendency of Pd to segregate by taking the aggregation of Pd at LaFe_1-xPd_xO_3-y surfaces into consideration, resulting in a pair of Pd-Pd around a vacancy. Moreover, we predicted that one oxygen-vacancy-containing FeO₂-terminated surfaces would be stable at high temperatures by comparing the stability of LaFe_1-xPd_xO_3-y surfaces, which further supports our previous conclusion that a Pd-containing perovskite catalyst should be calcined at 1,073 K or higher temperatures in air to enhance the segregation of Pd in the vicinity of surfaces to rapidly transform the Pd catalyst from oxidized to reduced states on the perovskite support.     

Probabilistic enhancement of approximate indexing in metric spaces

Some approximate indexing schemes have been recently proposed in metric spaces which sort the objects in the database according to pseudo-scores. It is known that (1) some of them provide a very good trade-off between response time and accuracy, and (2) probability-based pseudo-scores can provide an optimal trade-off in range queries if the probabilities are correctly estimated. Based on these facts, we propose a probabilistic enhancement scheme which can be applied to any pseudo-score based scheme. Our scheme computes probability-based pseudo-scores using pseudo-scores obtained from a pseudo-score based scheme. In order to estimate the probability-based pseudo-scores, we use the object-specific parameters in logistic regression and learn the parameters using MAP (Maximum a Posteriori) estimation and the empirical Bayes method. We also propose a technique which speeds up learning the parameters using pseudo-scores. We applied our scheme to the two state-of-the-art schemes: the standard pivot-based scheme and the permutation-based scheme, and evaluated them using various kinds of datasets from the Metric Space Library. The results showed that our scheme outperformed the conventional schemes, with regard to both the number of distance computations and the CPU time, in all the datasets.