非对称因素对热轧纯钛中厚板出口楔形的影响

针对纯钛中厚板热轧过程中可能出现的轧件断面楔形问题,结合四辊轧机设备和工艺的非对称特点,基于影响函数法建立双悬臂梁辊系弹性变形模型,研究对中误差、机架刚度差、坯料楔形、横向温差等非对称因素对轧件断面楔形的影响。结果表明对中误差、机架刚度差、横向温差对出口楔形的影响随着板宽和压下量的增大而增大,入口楔形对出口楔形的影响随着板宽增大和压下量的减小而增大。     

基于SVM模型的胶东金矿成矿预测研究

本文系统结合前人研究资料，进行控矿要素分析，总结金矿成矿规律，采用支持向量机模型（SVM）进行深部隐伏金矿预测。首先根据研究区矿床类型，得知该区金矿床为造山型，矿床严格受构造、岩浆岩等方面控制。建立了勘查模型，Au、Ag两种贵金属元素经多重分形滤波（S-A）分离得到的背景和异常，进而将各勘查标志转换为证据图层，采用高斯、线性、双曲正切SVM、逻辑回归模型、朴素贝叶斯模型进行成矿预测，最终生成成矿潜力图和累计预测面积比例与累计预测矿床数量图，共圈定远景区5个。结果表明高斯、线性、双曲正切核函数的SVM模型逻辑回归模型相差无几，且均优于证据权模型，表明支持向量机是一种具有广泛的应用前景的成矿预测方法。     

基于VMD瞬时能量与GA- RBF的滚动轴承故障诊断

针对滚动轴承早期故障的有效识别,提出了一种基于VMD瞬时能量与GA优化的RBF神经网络的滚动轴承故障诊断方法,可以有效对滚动故障做出诊断。首先,VMD将滚动轴承振动信号进行分解成合适数目的本证模态函数;其次,计算本证模态函数分量的瞬时能量并组成特征向量;最后,将特征向量输入到GA优化的RBF神经网络实现轴承故障识别。通过滚动轴承故障诊断实验对该方法进行验证。结果表明,该方法识别滚动轴承故障的准确率为96.43%,较默认参数的RBF神经网络和EEMD瞬时能量与GA-RBF神经网络有明显的提高,证明了所提方法的可行性。     

Determination of atomistic deformation of tricalcium silicate paste with high-volume fly ash

We examined the effect of incorporating high-volume fly ash on the atomic arrangement and interatomic deformation behavior of calcium silicate hydrates in tricalcium silicate paste upon exposure to external forces. The interatomic structural changes and strains under compressive load were assessed using synchrotron in situ high-energy X-ray scattering-based atomic pair distribution function analysis. Three different types of strains, which were (a) macroscopic strains from gauges on the surfaces of specimen, (b) strains in a reciprocal space (Bragg peak shift), and (c) strains in real space (PDF peak shift), were compared to each other. All monitored and calculated strains for tricalcium silicate-fly ash (50 wt% fly ash) paste were compared with the counterparts of the pure tricalcium silicate paste. Pair distribution function analysis in the range of r < 10 Å indicated that the atomic arrangement of tricalcium silicate-fly ash was similar to that of synthetic calcium silicate hydrates followed by that of pure tricalcium silicate paste. Moreover, the pair distribution function refinement results revealed that the calcium silicate hydrate structure in tricalcium silicate-fly ash paste was similar to tobermorite 11 Å, unlike that in pure tricalcium silicate paste. The interatomic strain of tricalcium silicate-fly ash in the real space (r < 20 Å) was smaller than that of tricalcium silicate under compression, which suggested that the incompressibility of calcium silicate hydrates at atomistic scale was enhanced by the incorporation of fly ash into it. This was likely to be caused by the increased silicate polymerization of calcium silicate hydrates, which was attributed to the increase in the amount of silicate in their structure via the addition of fly ash.     

Improvement and further investigation on Hoffman-function-based dynamic contact angle model

Dynamic contact angle (DCA) plays a critical role in the numerical investigation of gas-liquid two-phase flow problem in proton exchange membrane fuel cells (PEMFCs). In our previous study, an advancing-receding DCA (AR-DCA) model was developed based on Hoffman function and has been successfully validated. This study aims to further modify the contact line velocity evaluation method in the AR-DCA model and an improved-AR-DCA (i-AR-DCA) model is proposed. The simulations of droplet impact on inclined surface and liquid water behaviors in microchannel are conducted based on these two models and the results show that the improved methodology has no significant effects on general droplet spreading process on inclined surface; whereas it can facilitate the liquid water detachment in the microchannel. In addition, the Hoffman function is modified into three different forms based on the original experimental data points in order to test the sensitivity of different formulae on the numerical results. It is indicated that the modified forms of Hoffman function can induce notable changes in the liquid water slug elongation in the microchannel.     

一种使用多维度直方图匹配的图像风格迁移算法

在传统的基于直方图匹配的图像风格迁移算法的基础上，提出一种新的基于多维度直方图匹配的图像风格迁移算法。通过构建关于原图像的不同维度的直方图，然后进行原图像和目标图像的匹配，分别得到原图像在不同维度直方图下的风格迁移图像，最后对这些风格迁移后的图像进行融合生成最终的结果。在保持原图像与目标图像整体风格上尽量相似的情形下，同时又使原图像的局部细节尽可能保留，实现整体风格相似却又保留局部细节的平衡。     

Effect of sintering temperature on the transport properties of La2Ce2O7 ceramic materials

La₂Ce₂O₇ (LCO) based materials are of a paramount importance since they can be utilized for ammonium production, thermal barrier application, catalysts, hydrogen production and solid oxide fuel cells (SOFCs). In this work, a nano crystalline LCO powder was prepared using glycine-nitrate combustion method and then its properties were comprehensively characterized. The structural analysis of the synthesized LCO was carried out using conventional X-ray diffraction (XRD) and Raman spectroscopy. In a disordered phase, LCO is a biphasic mixture composed of C- and F-type phases. Densification studies were performed by sintering LCO pellets at different sintering temperatures. A densification of ≥95% was observed in all the samples with a very little variation. Sintering temperature had a marked effect on the electrical conductivity of LCO. The LCO sintered at 1100 °C showed the highest conductivity (3.68 mS/cm at 700 °C in air). The electrical conductivity was found to be decreasing with an increase in sintering temperature from 1100 to 1400 °C. To understand the behavior, the analysis of distribution function of relaxation times (DFRTs) utilized for correct separation of grain and grain boundary resistances. The presence of C- and F- type phases calculated from Raman spectra plays a crucial role in deciding conduction behavior of LCO. The results suggest a strong relationship between history of the ceramics preparation and their electrical properties.     

System identification with measurement noise compensation based on polynomial modulating function for fractional-order systems with a known time-delay

This study presents a system identification method based on polynomial modulating function for fractional-order systems with a known time-delay involving input and output noises in the time domain. Based on the polynomial modulating function and fractional-order integration by parts, the identified fractional-order differential equation is transformed into an algebraic equation. By using the numerical integral formula, the least squares form for the system identification is obtained. In order to reduce the effect of noises existing in the input and output measurements, the compensation method for the input and output noises is also studied by introducing an auxiliary high-order fractional-order system in the revised identification algorithm. Finally, the effectiveness of the proposed algorithm is verified by the simulation result of an illustrative example and the experimental result of temperature identification for a thermal system.     

抗血小板治疗实验室监测之我见

抗血小板药物在各种动脉血栓性疾病防治中具有重要地位。虽然目前抗血小板药物多采用固定剂量给药,但不同患者对抗血小板治疗的反应性存在明显差异。治疗后的血小板高反应性或低反应性可能与血栓事件或出血事件风险相关。基于血小板功能检测的个体化抗血小板治疗方案可能有助于预防血栓或出血不良事件的发生,但目前仍缺乏上述治疗策略能够最终改善患者预后的确切临床证据。迄今为止,对于接受抗血小板治疗的患者是否应常规进行实验室监测仍存在诸多争议。本文对抗血小板治疗反应多样性的成因及血小板功能检测是否可用于指导个体化抗血小板治疗进行讨论。     

High-speed,two-dimensional digital image correlation algorithm using heterogeneous (CPU-GPU) framework

Two-dimensional digital image correlation (2D-DIC) is an experimental technique used to measure in-plane displacement of a test specimen. Real-time measurement of full-field displacement data is challenging due to enormous computational load of the algorithm. In order to improve the computational speed, the focus of recent research works has been on the approach of parallelization across subsets within image pairs using graphics processing unit (GPU). But alternate GPU-based parallelization approaches to improve the performance of this algorithm as per the order of data processing have not been explored. To address this research gap, our method utilizes parallelism within a subset as well as across subsets for each computation step in an iteration cycle. A heterogeneous (CPU-GPU) framework in combination with a pyramid-based initial values estimation for subsets (in parallel) is proposed in this work. The precompute steps of the proposed framework are implemented using CPU, whereas the main iterative steps are realized using GPU. It is demonstrated that the overall computational speed of the proposed heterogeneous framework improves by compared to a sequential CPU-based implementation for a pair of gray-scale images with a resolution of pixels. As an important milestone, feasibility to measure deformations in real time ( 1 s) is manifested in this study.