准均匀电场下C5F10O/干燥空气与C5F10O/N2的绝缘特性

SF_6因优异的电气特性广泛应用于电器绝缘设备中,但其产生的温室效应对大气环境具有极大损害。近年来,C_5F_(10)O作为一种环保型SF_6潜在替代气体受到国内外科研工作者的关注。为进一步探究C_5F_(10)O/干燥空气与C_5F_(10)O/N_2的绝缘特性,文中利用气体绝缘性能测试平台,对不同气压、不同C_5F_(10)O分压下的2种混合气体在准均匀电场下进行工频击穿试验。实验结果表明,C_5F_(10)O混合气体绝缘强度随气体压强的增大而增大;提高C_5F_(10)O分压亦可提高两类缓冲气体的绝缘强度,且对N_2绝缘强度提升相对值大于干燥空气。从绝缘强度考虑,适当增大C_5F_(10)O混合气体气压和C_5F_(10)O分压,C_5F_(10)O/干燥空气比C_5F_(10)O/N_2混合气体更具潜力替代室内中低压设备中的SF_6。     

Thermoplastic Starch Nanocomposites Reinforced with Cellulose Nanocrystal Suspensions Containing Residual Salt from Neutralization

Sulfuric acid-catalyzed hydrolysis of cellulose commonly isolates cellulose nanocrystals (CNCs). Neutralizing the reactant solution with sodium hydroxide facilitates efficient downstream processing, but residual salt remains in the product. This study examines the reinforcing effects of CNCs from suspensions that contain residual salt on the mechanical properties of thermoplastic starch nanocomposites. By reinforcing starch films with up to 5 wt% CNCs, stiffness and strength are improved by 118% and 79%, respectively, indicating a good dispersion of CNCs in the starch matrix. Compared to nanocomposites incorporating salt-free CNCs, the remaining salt has no significant impact on the material's mechanical performance. The results indicate great potential of CNCs containing residual salt as biobased, low-cost nanofiller in hydrophilic polymer matrices.     

Micron-Scale Soft Actuators Fabricated from Multi-Shell Polystyrene Particle-Gold Nanoparticle Nanohybrids

Actuators made of soft matter are needed for a variety of fields ranging from biomedical devices to soft robotics to microelectromechanical systems. While there are a variety of excellent methods of soft actuation known, the field is still an area of intense research activity as new niches and needs emerge with new technology development. Here, a soft actuation system is described, based on a core-multi-shell particle, which moves via photothermal expansion. The system consists of a novel polystyrene-based thermally expandable microsphere, with a secondary shell of a silicate-silane graft copolymer, to which gold nanoparticles are covalently linked. The gold nanoparticles act as photothermal nano-transducers, converting light energy into the thermal energy necessary for microsphere expansion, which in turn results in material movement. Actuation is shown in isolated particles in thermal and photothermal regimes using metal ceramic heaters or 520 nm laser illumination, respectively. Macroscale actuation is demonstrated by making a composite material of particles suspended in the transparent elastomer polydimethylsiloxane. The sample demonstrates an inchworm-like movement by starting from an arched geometry. Overall, this work describes a new particle-based actuation method for soft materials, and demonstrates its utility in driving the movement of a composite elastomer.     

Effects of surfactant and particle size on the microstructure and strength of Si3N4 foams with high porosity

The highly porous Si₃N₄ ceramic foams were prepared by direct foaming with mixed surfactants. The surface tension and viscosity of slurries were tailored by different carbon chain length of surfactants and different mean Si₃N₄ particle size to achieve the pore size controlling. The nearly linear relationship between the pore size and the ratio of surface tension to viscosity was observed, which indicates that the pore size could be precisely tailored by the slurry properties. Si₃N₄ ceramic foams with porosity of nearly 94%, mean pore size of 110–230 µm, and compressive strength of 1.24–3.51 MPa were obtained.     

利用贝叶斯线性回归结合混合Copula函数分析风电功率的相关性

分析风电场之间的出力相关性有助于合理规划风机的功率输送以及调度优化,从而提高传输线路的利用率。以冀北地区风场为例,首先分析了该区域风速的分布特性,然后利用贝叶斯线性回归算法建立混合Copula函数模型,拟合得到4个机群风速序列的联合分布,计算出风电场之间的出力相关性,并与其他相关性函数建模进行对比研究。研究结果表明,基于贝叶斯线性回归的混合Copula函数模型能够提高参数估计的精确性,从而使得计算出的相关性更为准确,并且由其拟合得到的出力概率分布与实际风场出力的概率分布较为一致。     

基于深度强化学习的光储充电站储能系统优化运行

优化储能充放电策略有利于提升光储充电站运行经济性,但是现有模型驱动的随机优化方法无法全面考虑储能系统的复杂运行特性以及光伏发电功率、电动汽车充电负荷的不确定性.因此,提出一种基于深度强化学习的光储充电站储能系统全寿命周期优化运行方法.首先对储能运行效率模型和容量衰减模型进行精细化建模.然后考虑电动汽车充电需求、光伏出力和电价的不确定性,在满足电动汽车充电需求和光伏消纳的条件下,以光储充电站收益最大化为目标,建立了基于强化学习的储能优化运行问题.考虑到储能充放电决策动作的连续性,采用双延迟深度确定性策略梯度算法进行求解.采用实际历史数据对模型进行训练,根据当前时段状态对储能充放电策略进行实时优化.最后,对所提方法及模型进行测试,并将所提出的方法与传统模型驱动方法进行对比,结果验证了所提方法及模型的有效性.     

SiC含量对SiCp/Al复合材料摩擦性能的影响

采用粉末冶金技术制备了SiC_p/Al复合材料,探讨了SiC颗粒质量分数对SiC_p/Al复合材料密度、布氏硬度、微观形貌以及摩擦磨损性能的影响。结果表明,SiC颗粒表面形成了少量可提高界面结合性的Al₄C₃化合物。随着SiC质量分数增加,SiC_p/Al复合材料的密度没有明显的变化,当SiC质量分数增加至25%时,密度明显下降。SiC_p/Al复合材料的布氏硬度随着SiC质量分数的增加呈先增长后减小的变化趋势。当SiC质量分数为20%时,材料的硬度最优（HBW 114）,平均摩擦系数达到最大值（0.3425）,摩擦后试样表面形貌平整且犁沟较浅,SiC颗粒未出现明显剥落。     

钽粉颗粒强度的研究

研究了采用激光粒度分布仪测试电容器级团化钽粉粒度分布及强度的方法。其中心内容是:先采用3种不同比表面积、松装密度和费氏平均粒径的钠还原原粉,按3种烧结工艺制得团化钽粉。然后把烧结得到的6种试样加入纯水中,以200～300r/min进行高速搅拌并以40W,42kHz超声波振动。将激光衍射分析仪的激光束穿过经不同搅拌时间的悬浊钽粉,测得不同时间的钽粉粒径分布曲线。分析分布曲线可以获得团化钽粉的一系列信息,包括:①几种团化钽粉颗粒的相对强度;②影响团化钽粉颗粒强度的因素;③钽粉强度和其他性能如介电损耗、流动性,平均粒径及密度的关系等。     

Flattening and solidification of thermally sprayed particles

In this article, molybdenum particles were plasma sprayed on copper, zirconia, and glass substrates. The impact of the molten particles was monitored using a fast two-color optical fiber pyrometer focused on a small spot on the substrate surface. The apparent duration of the flattening process and the cooling speed, both determined from the pyrometer signals, were found to depend on the substrate conditions and to vary with coating thickness. The substrate material and its roughness were also found to influence the texture in the sprayed coatings. Furthermore, a transient thermal flow numerical model was used to compute reliable thermal histories of the impinging particles and the underlying lamellae, the interfacial thermal resistance being determined by comparison of experimental thermograms with computed ones.     

快速凝固铝硅合金粉末加热过程中硅颗粒的粗化行为

利用差示扫描量热仪(DSC)、电子显微镜等设备对Al-12.8%Si合金粉末的原始状态及热处理后的状态进行了分析。发现其显微组织有两个连续的变化过程:在156℃时,固溶在基体Al中的过饱和Si开始析出,并在340℃发生粗化,随着加热温度的升高,粗化现象仍然存在。另外,对Si颗粒的粗化机理进行了研究,发现其粗化符合经典的LSW理论。