区域电网高频切机防线一体化监视与预警系统设计与应用

分析了西北电网存在的高频风险和纳入高频切机防线的安全自动装置的调管情况，从保障大送端电网频率安全的实际应用需求出发，设计了网省两级调度中心高频切机防线一体化监视与预警系统的软硬件框架。阐述了实现该系统的几项关键技术，包括基于服务总线的高频切机信息交换、高频切机策略通用化建模、高频可切机总量统计。介绍了该系统在西北电网的工程实践应用情况。试运行结果表明，该系统软件能够自动结合安全自动装置的高频切机策略模型和实际运行状态，实现对各区域电网各轮次高频切机总量的精确统计，当任一地区任一轮次高频切机总量越限时能够向调度员及时告警。     

葵花籽粕综合利用研究进展

葵花籽粕是葵花籽提油后的副产品。葵花籽粕蛋白品质优,各氨基酸组成平衡,此外葵花籽粕中还含有绿原酸、黄酮等多种活性物质,营养价值高,具有广阔的应用前景。从葵花籽粕作为原料提取有效成分及作为饲料用原料两方面对葵花籽粕资源的综合利用情况进行了阐述,以期为葵花籽粕的进一步开发利用提供参考。     

重力坝坝基多斜面抗滑稳定模糊体系可靠度研究

以基岩具有多斜面、多滑移通道的某实际重力坝工程为例,基于刚体极限平衡法,采用模糊理论和几种典型的体系可靠度计算方法,研究其典型坝段的坝基深层抗滑稳定模糊体系可靠度,探讨模糊理论中隶属函数形式、隶属度以及隶属函数中关键参数的取值对可靠度计算结果的影响。研究结果表明,采取限制失效概率模糊界限比的方法可使计算结果更具有参考性,考虑模糊性的抗滑稳定可靠指标的下限较常规可靠度计算值偏小,这在重力坝坝基抗滑稳定分析中应引起重视。     

航天用多弧段封头淬火装置优化设计

提出了某航天产品用多弧段封头产品的淬火处理方法;通过有限元分析,得出了多弧段封头在底部约束情况下的热处理畸变趋势;建立了多弧段封头淬火装置的三维模型,介绍了多弧段封头淬火装置的基本结构。通过有限元分析得出在淬火装置约束下,多弧段封头热处理,总畸变量为16.0 mm,Z向15.0 mm,X向8.5 mm。通过对多弧段封头淬火装置的热畸变情况分析,提出了淬火装置的优化设计方案,优化后的多弧段封头的热处理,总畸变量为7.0 mm,Z向10.0 mm,X向3.0 mm。解决了多弧段封头热处理畸变过大问题,并通过生产验证。     

磁控溅射离子镀金装饰膜的研究

采用磁控溅射离子镀技术在316不锈钢表面制备TiN层和Au层,TiN层的厚度分别为0.620μm、0.997μm和1.389μm,反应沉积时间分别为60min、100min和140min,Au层的厚度均为0.13μm左右。测试了镀金层的镀层表面形貌、色泽、耐腐蚀性能和耐磨性能。结果表明,镀膜的反应沉积时间不同时,镀层表面均较致密,中间层TiN层的厚度对颜色没有明显的影响,镀层的耐腐蚀性和耐摩擦性能良好。     

Efficient removal of Congo red from pH-unregulated aqueous solutions by lignosulfonate-based polycatecholamine

Lignosulfonate-based polycatecholamine (PCEA-LS) was synthesized by a two-stage approach involving Mannich and catechol–amine reactions, and it was directly used to adsorb Congo red (CR) from the pH-unadjusted aqueous solution. PCEA-LS was characterized using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR), thermogravimetric analysis (TGA), and X-ray photoelectron spectroscopy (XPS). Various factors affecting on removal of CR by PCEA-LS were investigated in depth, including contact time, adsorbent dosage, and initial concentration of CR and adsorption temperature. The adsorption kinetics, isotherm, and thermodynamics of PCEA-LS for CR were explored in detail, and then its adsorption mechanism was systematically elucidated. Results indicated that the removal process of CR followed the pseudo-second-order kinetic model, and the isotherm data fitted the Langmuir model well. The maximum adsorption capacity reached 972.6 mg g⁻¹ at 30°C in the pH-unadjusted (pH = 6.25) solution possibly due to the hydrogen bond, π–π stacking, and electrostatic interaction between PCEA-LS and CR. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2020 , 137, 48640.     

In-line characterization of dispersion uniformity evolution during a twin-screw blending extrusion based on near-infrared spectroscopy

Properties of an immiscible polymer blend have been proved to be closely related to dispersion uniformity of the minor phase. At present, dispersion uniformity is difficult to evaluate during the blending process, resulting in hysteretic feedback. Aiming at this problem, this work utilized near-infrared (NIR) spectroscopy to in-line characterize dispersion uniformity evolution during a twin-screw extrusion. A multichannel NIR measurement system was set up and applied to evaluate the blending process of polypropylene and polyolefin elastomer (POE). Based on the NIR spectra collected at different positions of the extruder, five prediction models of POE content were established using the light gradient boosting machine algorithm. Dispersion uniformity was characterized through the fluctuation of the predicted content. The evolution of dispersion under such processing parameters was consistent with scanning electron microscopy.     

金属薄板平面铣削形变分析与控制

由于初始残余应力的作用,金属薄板平面加工普遍存在加工难度大,加工变形严重等问题,难以保证板面的加工质量。以不锈钢薄板的平面加工为基础,通过理论分析、仿真模拟和实验验证的方式,对金属薄板的加工形变进行较为系统的研究,分析了金属薄板加工形变的关键因素,总结了金属薄板残余应力分布形式以及有效避免加工形变的工艺方法,为类似金属板材加工提供理论参考依据。     

木质素化学降解及其在聚合物材料中应用的研究进展

木质素是自然界储量丰富的可再生天然酚类高分子，可替代传统化石资源应用于聚合物材料合成。木质素分子结构中的大分子刚性骨架可赋予材料独特的力学性能和热稳定性。但木质素化学组成和分子结构复杂、反应活性低，限制了在聚合物材料领域的应用。化学降解是一种高效、高选择性且应用广泛的降解方法，经化学降解处理得到的木质素低聚物具有活性官能团多、反应活性高、溶解性好等优点，有利于拓展木质素在聚合物材料领域的高附加值应用。重点综述了近年来国内外有关木质素化学降解及其降解产物应用于聚合物材料的研究进展。     

基于广义深度学习的含DG配网故障诊断方法

针对传统故障定位方法难以满足含分布式电源配电网的问题，提出一种基于广义深度学习的故障定位方法。利用广义深度学习在逼近能力和容错性方面的优势，挖掘响应数据与故障位置之间的映射关系，建立含分布式电源配电网故障定位的模型。IEEE34节点仿真结果表明，该方法可有效实现含分布式电源配电网的故障定位，准确率高，速度快，且在信息畸变或缺失时容错性好。