Sol–gel synthesis of Nd-doped BiFeO3 multiferroic and its characterization

Neodymium doped bismuth ferrite (BiFeO₃, BFO) nanoparticles were successfully synthesized by a facile sol–gel route. The influence of annealing temperature, time, Bi content and solvent on the crystal structure of BFO was studied. Results indicated that the optimum processing condition of BFO products was 550–600 °C/1.5 h with excess 3–6% Bi and ethylene glycol as solvent. On the other hand, Nd³⁺ ion was introduced into the BFO system and the effect of Nd³⁺ concentration on the structure, magnetic and dielectric properties of BFO were investigated. It was found that the magnetization of BFO was enhanced significantly with Nd³⁺ substitution, being attributed to the suppression of the spiral cycloidal magnetic structure led by the crystal structure transition. Furthermore, with increasing Nd³⁺ content, the dielectric constant was found to decrease while the dielectric loss was enhanced, which was mainly due to the hoping conduction mechanism with the reduction of oxygen vacancies.     

Super-Resolution Reconstruction of Images Based on Microarray Camera

In the field of images and imaging, super-resolution (SR) reconstruction of images is a technique that converts one or more low-resolution (LR) images into a highresolution (HR) image. The classical two types of SR methods are mainly based on applying a single image or multiple images captured by a single camera. Microarray camera has the characteristics of small size, multi views, and the possibility of applying to portable devices. It has become a research hotspot in image processing. In this paper, we propose a SR reconstruction of images based on a microarray camera for sharpening and registration processing of array images. The array images are interpolated to obtain a HR image initially followed by a convolution neural network (CNN) procedure for enhancement. The convolution layers of our convolution neural network are 3×3 or 1×1 layers, of which the 1×1 layers are used to improve the network performance particularly. A bottleneck structure is applied to reduce the parameter numbers of the nonlinear mapping and to improve the nonlinear capability of the whole network. Finally, we use a 3×3 deconvolution layer to significantly reduce the number of parameters compared to the deconvolution layer of FSRCNN-s. The experiments show that the proposed method can not only ameliorate effectively the texture quality of the target image based on the array images information, but also further enhance the quality of the initial high resolution image by the improved CNN.     

大型立式玻璃磨边机整机动态特性分析

大型立式玻璃磨边机的动态特性影响玻璃磨边质量和磨边效率。利用Solidworks软件建立某大型立式玻璃磨边机三维实体模型,导入ANSYS软件中,对整机结构有限元动力学分析,得到该磨边机前六阶模态参数,分析了各阶振型对磨边机动态特性的影响,为磨边机结构的改进设计提供了理论依据。     

堆石混凝土单轴受压应力-应变全曲线试验方法研究

为了研究堆石混凝土应力-应变全曲线,采用碟形弹簧与钢柱组合成附加刚性元件增强压力机的刚性,研究了碟形弹簧并联与串联联结装置的变形量和刚度以及实现单轴受压端部减摩措施,提出了一种堆石混凝土单轴受压应力-应变全曲线的试验方法。在混凝土压力试验机上进行了堆石混凝土立方体试件单轴受压试验,测得了堆石混凝土受压应力-应变全曲线。试件破坏形态表明,采用的端部减摩措施有效,测得的应力-应变曲线下降段验证了碟形弹簧与钢柱组合装置能够吸收试件破坏时混凝土压力试验机存储的变形能。研究结果为在混凝土压力试验机上进行堆石混凝土单轴受压应力-应变全曲线提供了可行、简便、经济的测试方法。     

Phase equilibria of the Al2O3–CaO–SiO2-(0%, 5%, 10%) MgO slag system for non-metallic inclusions control

Al₂O₃–CaO-(MgO–SiO₂) inclusions are one of the dominant inclusions in Al-deoxidized spring steel, the compositions changes of which are closely related to refining slags and deoxidization process. The Al₂O₃–CaO–SiO₂–MgO system can represent the primary ingredients of the Al₂O₃–CaO inclusions. According to analyzed compositions and predicted liquidus temperature ranges of inclusions and refining slag, equilibra experiments under high temperature, water quenching technique and subsquent electron probe X-ray microanalysis (EPMA) has been conducted to ascertain detailed thermodynamic database for inclusions control. Liquidus temperatures within the dominant phase fields of Ca₃SiO₅, Ca₂SiO₄, CaAl₂O₄, Ca₃Al₄O₉, spinel and MgO with the intervals of 20 °C from 1350 to 1560°C were identified. To further promote inclusions control, the influences of mass ratios of Mass(Al2O3)Mass(Al2O3+SiO2+CaO) and MgO contents on equilibrated phases and liquidus temperature changes have been explored. To further enhance modification levels of Al₂O₃–CaO-(MgO–SiO₂) system inclusions, it is suggested that refining time could be suitably prolonged.     

卧螺离心机变频调速PLC控制系统设计

针对传统的卧螺离心机控制系统存在稳定性差、工作效率低的问题,设计了一种卧螺离心机变频调速PLC控制系统;详细介绍了该系统中共直流母线变频调速系统、副电机随动方案及负载率调整方法、PLC控制系统、组态界面的设计。实际应用表明,该系统运行稳定,提高了离心机的性能。     

基于改进下垂控制的多微网并联运行控制策略研究

多微网并联的电网系统结构复杂、连接方式多样,在并网、解列的过程中由于子微网之间的频率和电压偏差,会在平衡点产生较大的电动力,对系统产生冲击,影响系统的动态稳定。本文针对多微网并网、解列过程中控制精度和动态稳定的问题,基于长距离线路电压降落和电压相角偏移,提出了一种改进的下垂控制方法,减少了系统的电压震荡和频率波动。最后基于Matlab/Simulink建立仿真模型,仿真结果验证了改进控制策略的合理性和有效性。     

“两个一体化”战略下储能应用前景分析

储能对电能应用具有时序调节的作用,且储能技术在逐步完善,其应用场景也逐渐多元。在“风光水火储一体化”和“源网荷储一体化”（“两个一体化”）下,储能的灵活调节作用将得到更充分的发挥,储能有望迎来更广阔的发展空间。本文先对新能源领域相关政策以及“两个一体化”的建设规划概况进行梳理,然后分析了“两个一体化”下储能的灵活性以及经济性,研究了“两个一体化”下的储能规划,探究了“两个一体化”的商业化应用,提出了应因地制宜配置储能设施,储能收益多元,完善储能商业模式等建议,对今后储能的走向具有一定参考意义。     

稀土元素铈对钢中非金属夹杂物改性和腐蚀影响的第一性原理研究

通过原位腐蚀观察和基于密度泛函理论的第一性原理计算方法,从微观角度研究了稀土元素铈（Ce）对J5不锈钢中夹杂物的改性和夹杂物诱导腐蚀的机理。采用扫描电子显微镜与能谱分析了稀土元素Ce改性夹杂物的过程中夹杂物成分和类型的变化,观察到的代表夹杂物为CeAlO₃?Ce₂O₂S、Ce₂O₃?Ce₂O₂S、MnS等。根据形成能计算,经稀土元素Ce处理后,生成了稳定的Ce₂O₃、Ce₂O₂S、CeAlO₃夹杂物。通过表面能判断了晶面的稳定性,Fe(100)-2面的表面能经收敛测得为2.4374 J·m?2,该晶面的功函数为4.7352 eV。通过对比夹杂物与钢基体的功函数与计算电势差,分析了不同含Ce夹杂物诱导点蚀的趋势,探讨了不同原子位置、原子数量和不同slab模型对功函数的影响。研究表明,与Fe (100)-2面的电子功函数相比,MnS以及改性后3种夹杂物CeS、Ce₂O₃和Ce₂O₂S电势差大多小于0,CeAlO₃的电势差在0 eV左右。夹杂物不同晶面对功函数影响很大,O、S等非金属原子数量多的晶面功函数平均值较高,添加稀土元素Ce可以有效降低晶面功函数。5种夹杂物和钢基体的平均功函数大小顺序为CeAlO₃>Fe>MnS>CeS>Ce₂O₂S>Ce₂O₃。结合不锈钢中复合夹杂物的实验结果可知,Ce₂O₃诱导点蚀发生的概率最高,CeAlO₃可以有效提高钢的耐腐蚀能。      

MnS夹杂物诱发钢材点蚀综述

MnS夹杂物诱发钢材点蚀,对钢材服役寿命、工作生产安全和社会经济发展产生巨大危害。首先,分析了MnS夹杂物诱发钢材点蚀的机理,包括电偶腐蚀机理、S和Cl-协同作用机理、封闭区域加速点蚀机理、贫铬区机理和微缝隙机理;其次,汇总了MnS夹杂物大小、形貌、分布,Cl-浓度、温度和应力对MnS夹杂物诱发钢材点蚀的影响;然后,总结了钢材防腐蚀的常用措施;最后,展望了防止MnS夹杂物诱发钢材点蚀的未来研究方向。