Hydroxyl Groups Promoted Ag Dispersion and Excellent Performance of Ag/Al2O3 Catalyst for HCHO Oxidation

Catalysis Letters - Hydroxyl groups are considered as anchoring sites for active components on catalysts. Guided by this viewpoint, 4 wt. % Ag/Al2O3 catalyst derived from Boehmite (AlOOH) was...     

高职院校资助育人状况的调研——以Y高职学校为例

以Y高职院校学生为调查对象,基于对当前资助育人工作的在线问卷调查和访谈,分析了当前高职院校资助育人的状况,并提出新时代下高职院校资助育人质量提升合理化建议,包括扩大资助政策宣传、加大对二级学院资助育人工作的考核、加强感恩教育、诚信教育、加强心理资助工作力度、加强勤工助学资助育人、加强受资助学生的存在感和获得感。     

Molybdate and tungstate as corrosion inhibitors for cold rolling steel in hydrochloric acid solution

The inhibition effects of molybdate and tungstate on the corrosion of cold rolling steel (CRS) in hydrochloric acid solution (0.1-0.5 M) were investigated by weight loss and electrochemistry methods. The results reveal that both molybdate and tungstate are very good inhibitors with little concentration. The adsorption of inhibitors on the CRS surface basically obeys the Langmuir adsorption isotherm equation. The effect of temperature on the corrosion behavior of CRS was also studied at 25 °C and 35 °C, the thermodynamic parameters such as adsorption heat (ΔH⁰) and adsorption free energy (ΔG⁰) were calculated. In the same conditions, a comparative study of corrosion inhibition of molybdate and tungstate indicated that molybdate was the better inhibitor in 0.1 M HCl. However, the value of percentage inhibition efficiency (IE) was dependent on the concentration of inhibitors in 0.2-0.5 M HCl. It seemed that molybdate did not have the strong inhibitive effect compared to tungstate with relatively small concentration of inhibitors, but molybdate was a better inhibitor over a wide concentration range of inhibitors. A kinetic study of cold rolling steel in uninhibited and inhibited acid was also discussed. Various parameters such as rate constant k and the kinetic parameter B were calculated for the reactions of corrosion. Polarization curves showed that both molybdate and tungstate are mixed-type inhibitors in acidic media.     

护环液压胀形法的新发展及外补液胀形法的生产应用

本文论述了现有液压胀形法生产护环所存在的不足,介绍了新一代液压胀形工艺即外补液胀形的原理、优点,以及在我国首次生产应用中所显示出的明显的技术经济效益。     

场效应晶体管弧焊逆变器可靠性研究

本文讨论了功率MOSFET晶体管弧焊逆变器的工作可靠性及其影响因素，并指出了弧焊逆变器设计中应注意的问题。     

长轴表面激光淬火变形与控制

应用激光淬火强化技术控制长轴的淬火变形，分析了激光淬火变形的原因和影响因素。研究结果表明，激光淬火不仅可使长轴振摆变形量控制在很小的范围内，而且可将已变形的长轴校直到很高的精度。     

基于差分电压和Elman神经网络的锂离子电池RUL预测方法

锂离子电池剩余使用寿命(remaining useful life,RUL)预测对电池的使用维护极为重要,提出一种基于差分电压和Elman神经网络预测锂离子电池RUL的方法.首先,根据美国国家航天航空局(National Aeronautics and Space Administration,NASA)的锂离子电池数据集,分析电池差分电压曲线和充放电曲线,提取电池容量退化特征量;其次,通过Pearson法分析特征量之间的相关性,将充电差分电压曲线初始拐点值、放电差分电压曲线峰值、放电时间、静置时间作为电池RUL预测的间接健康因子;最后,建立以上述间接健康因子为输入,电池容量为输出的Elman神经网络,进行锂离子电池的RUL预测.基于不同间接健康因子和不同神经网络的四种电池容量预测对比实验表明,在间接健康因子中加入充电差分电压曲线初始拐点值和放电差分电压曲线峰值可以提高电池寿命预测精度,Elman神经网络可准确预测电池容量.基于不同循环次数预测电池RUL,预测的平均均方根误差为1.55％.     

Modified g-C3N4 derived from ionic liquid and urea for promoting visible-light photodegradation of organic pollutants

In this work, modified g-C₃N₄ was fabricated successfully by calcination of ionic liquid (IL) and urea. The addition of IL changed the polymerization mode of urea, induced the self-assembly of urea molecules, modified the morphological structure of the tightly packed g-C₃N₄, and extended the electron conjugation system. When using 1-butyl-3-methylimidazolium chloride ([Bmim]Cl) as a modifier, the heteroatom Cl could be inserted into the g-C₃N₄ to optimize the electronic structure. The results of characterizations indicate that the unique structure of modified g-C₃N₄ has an expanded electron delocalization range, introduces an interlayer charge transmission channel, promotes the charge transmission, reduces the band gap, enhances the absorption of visible light, and inhibits electron-hole recombination. Modified g-C₃N₄ showed excellent photocatalytic performance for the degradation of rhodamine B and tetracycline. Furthermore, the effect of different anions in 1-butyl-3-methylimidazolium salts ([Bmim]Cl, [Bmim]Br, [Bmim][BF₄], and [Bmim][PF₆]) on the structure and function of g-C₃N₄ are discussed.     

适用于非理想条件下的自适应自抗扰锁相环技术

为解决传统三相同步锁相环在电网电压波动时无法精确锁相的问题,本文通过引入二阶线性自抗扰控制技术代替传统PI控制,并利用其扩张状态观测器对各状态变量进行估计和补偿实现锁相.基于二阶广义积分器的移相特性提出一种快速计算正序电压幅值的算法,并以此为基础设计一种可以根据电压跌落深度自适应调节参数的自抗扰锁相环结构.仿真和实验表明,所提出的锁相环结构可以有效提高锁相环的动态性能,且能在非理想的工况下为逆变器并网发电提供可靠的基准信号.     

Trace Identification and Visualization of Multiple Benzimidazole Pesticide Residues on Toona sinensis Leaves Using Terahertz Imaging Combined with Deep Learning

Molecular spectroscopy has been widely used to identify pesticides. The main limitation of this approach is the difficulty of identifying pesticides with similar molecular structures. When these pesticide residues are in trace and mixed states in plants, it poses great challenges for practical identification. This study proposed a state-of-the-art method for the rapid identification of trace (10 mg·L⁻¹) and multiple similar benzimidazole pesticide residues on the surface of Toona sinensis leaves, mainly including benzoyl (BNL), carbendazim (BCM), thiabendazole (TBZ), and their mixtures. The new method combines high-throughput terahertz (THz) imaging technology with a deep learning framework. To further improve the model reliability beyond the THz fingerprint peaks (BNL: 0.70, 1.07, 2.20 THz; BCM: 1.16, 1.35, 2.32 THz; TBZ: 0.92, 1.24, 1.66, 1.95, 2.58 THz), we extracted the absorption spectra in frequencies of 0.2–2.2 THz from images as the input to the deep convolution neural network (DCNN). Compared with fuzzy Sammon clustering and four back-propagation neural network (BPNN) models (TrainCGB, TrainCGF, TrainCGP, and TrainRP), DCNN achieved the highest prediction accuracies of 100%, 94.51%, 96.26%, 94.64%, 98.81%, 94.90%, 96.17%, and 96.99% for the control check group, BNL, BCM, TBZ, BNL + BCM, BNL + TBZ, BCM + TBZ, and BNL + BCM + TBZ, respectively. Taking advantage of THz imaging and DCNN, the image visualization of pesticide distribution and residue types on leaves was realized simultaneously. The results demonstrated that THz imaging and deep learning can be potentially adopted for rapid-sensing detection of trace multi-residues on leaf surfaces, which is of great significance for agriculture and food safety.