Functional flax fiber with UV-induced switchable wettability for multipurpose oil-water separation

● A PAA-ZnO-HDTMS flax fiber with UV-induced switchable wettability was developed. ● The property of flax fiber could be switched from hydrophobicity to hydrophilicity. ● The mechanism of the acquired UV-induced switchable wettability was discussed. ● The developed flax fiber was successfully used for multipurpose oil-water separation. The large number of oily wastewater discharges and oil spills are bringing about severe threats to environment and human health. Corresponding to this challenge, a functional PAA-ZnO-HDTMS flax fiber with UV-induced switchable wettability was developed for efficient oil-water separation in this study. The developed flax fiber was obtained through PAA grafted polymerization and then ZnO-HDTMS nanocomposite immobilization. The as-prepared PAA-ZnO-HDTMS flax fiber was hydrophobic initially and could be switched to hydrophilic through UV irradiation. Its hydrophobicity could be easily recovered through being stored in dark environment for several days. To optimize the performance of the PAA-ZnO-HDTMS flax fiber, the effects of ZnO and HDTMS concentrations on its switchable wettability were investigated. The optimized PAA-ZnO-HDTMS flax fiber had a large water contact angle (~130°) in air and an extremely small oil contact angle (~0°) underwater initially. After UV treatment, the water contact angle was decreased to 30°, while the underwater oil contact angle was increased to more than 150°. Based on this UV-induced switchable wettability, the developed PAA-ZnO-HDTMS flax fiber was applied to remove oil from immiscible oil-water mixtures and oil-in-water emulsion with great reusability for multiple cycles. Thus, the developed flax fiber could be further fabricated into oil barrier or oil sorbent for oil-water separation, which could be an environmentally-friendly alternative in oil spill response and oily wastewater treatment.     

高性能防腐蚀涂料GFT—1及在环保装备中的应用

本文概述了环保装备中严重的腐蚀问题 ,高性能防腐蚀涂料的发展及应用前景。介绍了高性能防腐蚀涂料GFT -1的特性及其在环保行业中的应用范例。     

废矿堆中黄铁矿氧化控制新技术--有机盐包膜法

于３０℃时研究了有机盐包膜对湿润和干燥条件下经接氧化亚铁矿杆菌的黄铁矿氧化的控制作用,湿润下经有机盐包膜的矿石样品的氧化程度与对照相比下降了９７．８％;直接添加有机盐的下降了９６．４％,两种淋洗收集液中有关元素的浓度经ＩＣＰ测定明显低于对照。干燥下微生物未能发挥对黄铁矿的氧化作用,但经包膜后的样品与对照相比,氧化程度又下降了７５．２％,这些结果表明,有机盐包膜既有明显的抑制黄铁矿的化学氧化作用,又     

2种防护涂层体系在湿热海洋环境下防护性能的劣化规律研究

目的 研究2种防护涂层体系在湿热海洋环境下自然暴露3 a的防护性能劣化规律。方法 确定试验件为钢–铝（钢）螺接连接件,试验地点为海南万宁,并按周期测得不同暴露时间下涂层A和涂层B的外观形貌、色差、光泽度、表面傅里叶红外光谱、电化学阻抗的相关数据。通过对比分析测试结果,判断2种涂层在不同暴露时间下的劣化程度,并最终得到其劣化规律。结果 涂层A自然暴露1 a老化严重,紧固件区域涂层剥落,平板区域失光率约为75%,阻抗模量降低5个数量级,色差ΔE~*为5（轻微变色）,涂层有机基团老化降解严重。涂层B自然暴露2 a,老化较严重,紧固件区域涂层剥落、生锈,平板失光率约为20%,阻抗模量降低2个数量级,色差ΔE~*为11（严重变色）,涂层有机基团轻微老化降解。结论 对于螺钉连接结构,连接区域不仅更容易被腐蚀,而且增加了附近平板区域的不一致性。涂层体系B的保护能力优于涂层体系A,涂层体系B的有效保护时间约为2 a,而涂层体系A则不到1 a。     

物理气相沉积硬质耐腐蚀磨损防护涂层研究进展

叙述了用物理气相沉积技术制备的硬质耐腐蚀磨损防护涂层的研究进展。重点介绍了腐蚀磨损耦合工况特性和作用机理,单元、多元掺杂氮化物涂层,高熵氮化物涂层,多层、纳米多层、纳米复合、梯度氮化物涂层耐腐蚀磨损性能研究,非金属元素/金属元素掺杂DLC涂层、多层复合DLC涂层耐腐蚀磨损性能研究,并对涂层改性、强化机理和腐蚀磨损失效机制进行了总结。最后,提出了未来物理气相沉积硬质耐腐蚀磨损防护涂层重点发展的方向,应重点发展涂层组元/结构设计、力–电耦合损伤机理研究、高效率研发设计、涂层先进制备装备与评估体系等方面的能力。     

高阻尼混凝土梁板结构动力特性分析

通过提高混凝土材料的阻尼比,有效地改善混凝土结构自身的阻尼性能,从材料的角度出发实现结构高阻尼化已成为一种新的结构振动控制方法。根据结构动力学原理,分析了提高系统阻尼比在结构发生共振时,对降低结构振动响应的有效性;利用有限元软件AN SY S模拟了普通混凝土结构、局部高阻尼混凝土结构以及整体高阻尼混凝土结构的动力响应,主要包括模态分析和谐响应分析,并对3种不同组成材料的结构响应结果进行比较。有限元分析表明:高阻尼混凝土结构的动力特性较普通混凝土结构有了显著的改善,而且当高阻尼混凝土仅用于结构的柱中时,其改善效果与整体结构都与使用高阻尼混凝土的效果比较接近。这对研究结构局部高阻尼化,降低结构在地震等动荷载作用下的响应有参考价值。     

基于机器学习分类算法解析EIS数据的有机涂层性能评价方法

目的 基于机器学习分类算法快速评估有机涂层的防腐性能。方法 通过实验室加速试验模拟涂层真实的退化过程,并根据测得的电化学数据,分析不同退化阶段的等效电路元件参数。随后,采用随机抽样方法获取大量数据,用于机器学习模型训练。通过对比支持向量机(SVM)、k最近邻(k-NN)和随机森林(RF)3种不同的机器学习算法,以及多种输入特征集训练的涂层性能分类器模型的准确率,分析最适合用于涂层性能快速评估的机器学习算法和电化学特征。结果 根据不同输入特征训练的k-NN和RF模型均表现出良好的预测效果,而SVM模型的预测效果相对较差。根据不同频率范围训练的分类器模型中,在低频区表现最佳,而在高频区表现较差。结论 基于阻抗虚部、虚部+实部和阻抗模值3种输入特征训练的RF分类器模型的预测效果最准确。不同频率区间内,低频区的阻抗特征更能准确表征涂层性能。     

沿海钢结构设施的防腐研究

针对沿海钢结构设施的腐蚀情况及目前常用防腐涂料的性能,优选了3种重防腐涂料——环氧富锌底漆、环氧玻璃鳞片中间漆、聚氨酯面漆。讨论了环氧树脂、锌粉、玻璃鳞片、聚氨酯改性树脂的选择方法,并提出了适合涂料涂装的表面处理技术和施工工艺。     

老龄飞机结构的腐蚀问题与对策

列举了某型老龄飞机腐蚀故障案例,阐明了老龄飞机结构腐蚀的共性问题及特点,从使用寿命期指标体系、结构抗腐蚀品质、服役环境、使用维护与腐蚀修理等方面较系统地分析了老龄飞机结构腐蚀的主要原因和影响因素。重点阐述了老龄飞机结构腐蚀防护对策与措施,主要包括结构腐蚀检查评估、涂层体系改进与结构密封防水改进、外场使用维护中腐蚀预防与控制措施。     

Investigation on Fe, Mn, Zn, Cu, Pb and Cd fractions in the natural surface coating samples and surficial sediments in the Songhua River, China

Natural surface coating samples （NSCSs） from the surface of shingles and surficial sediments （SSs） in the Songhua River, China were employed to investigate the relationship between NSCSs and SSs in fractions of heavy metals （Fe, Mn, Zn, Cu, Pb, and Cd） using the modified sequential extraction procedure （MSEP）. The results show that the differences between NSCSs and SSs in Fe fi＇actions were insignificant and Fe was dominantly present as residual phase （76.22% for NSCSs and 80.88% for SSs） and Fe-oxides phase （20.33% for NSCSs and 16.15% for SSs）. Significant variation of Mn distribution patterns between NSCSs and SSs was observed with Mn in NSCSs mainly present in Mn-oxides phase （48.27%） and that in SSs present as residual phase （45.44%）. Zn, Cu, Pb and Cd were found dominantly in residual fractions （〉48%）, and next in solid oxides/hydroxides for Zn, Pb and Cd and in easily oxidizable solids/compounds form for Cu, respectively. The heavy metal distribution patterns implied that Fe/Mn oxides both in NSCSs and SSs were more important sinks for binding and adsorption of Zn, Pb and Cd than organic matter （OM）, and inversely, higher affinity of Cu to OM than Fe/Mn oxides in NSCSs and SSs was obtained. Meanwhile, it was found that the distributions of heavy metals in NSCSs and SSs were similar to each other and the pseudo-total concentrations of Zn, Cu, Pb and Cd in NSCSs were greater than those in SSs, highlighting the more importance for NSCSs than SSs in controlling behaviours of heavy metals in aquatic environments.