嗜酸性细菌对废旧线路板浸出的吸附行为及动力学

探究嗜酸性细菌对废旧线路板浸出的吸附行为及其动力学模型是生物浸出机制研究的重要基础.本研究通过考察接种不同浓度氧化亚铁硫杆菌(A.ferrooxidans)浸出线路板中铜的吸附行为,探索了菌体在线路板粉末表面的吸附过程,分析了其吸附行为的动力学特性.结果表明,A.ferrooxidans在线路板粉末表面的吸附均于5 h内达到平衡.随着初始菌浓度的增大,吸附速率和吸附的微生物量也随之增大.初始菌体浓度为2.4×105、2.4×107和2.4×109cells·m L-1时对应的最大吸附量分别为1.8701、2.3552和2.9833 mg·g-1,吸附的微生物量占总生物量的比例分别为43.75%、53.97%和55.94%,铜的浸出率分别达到71.20%、88.33%和95.05%.进一步的非线性拟合结果显示,一级动力学模型适用于A.ferrooxidans与线路板粉末的吸附行为,模型拟合度(R2)分别达到0.9321、0.9134和0.9193.     

碱性蚀刻废液处理方式的比较研究

碱性蚀刻废液是一种铜含量高、废液浓度较高的工业废水,对其回收利用具有较高的经济价值和环境效益。简要介绍、比较分析了碱性蚀刻废液实用的两种处理方式。在线方式可实现碱性蚀刻液再生和金属铜的回收,而线外方式可回收多种铜盐。从资源循环、环境效益角度分析,在线方式将具有广阔的应用前景。     

合肥台短水准异常与周边地震活动分析

以合肥台跨郯庐断裂短水准数据为基础,结合华东地区中强震及安徽地区小震释放能量分析了历史测量资料在地震期间的变化,研究了辅助资料对测量资料的影响,得出:(1)降水虽可能造成敏感地块的断层形变异常,但在区域应力作用断层到一定强度时断层形变异常仍具有一定的前兆意义.(2)华东地区中强地震、安徽地区小震(群)与合肥台断层形变存...     

变电站及其线路建设工程项目公众参与的重要性探讨

变电站及其线路建设因其跨度大,涉及众多的乡镇村或苏木的村民的利益,为使工程建设达到可持续发展的目标,听取不同层次人员的意见,尤其是听取线路经过的乡、镇政府(苏木)中公务员以及拆迁房、迁坟和占耕地村民的意见,是环评工作中极为重要且必不可少的一个环节.以"500 kV高新变--德岭变送电线路工程项目"的公众参与与实践为例,对公众参与过程中所面临的一些普遍问题进行探讨.     

基于超临界技术的印刷线路板资源化方法研究

印刷线路板的回收由于其结构和组成材料的复杂性，被认为是电子电器产品回收中的重点和难点之一。提出了将超临界流体技术应用于废弃印刷线路板的回收工艺，研究出了一种环境友好的废弃印刷线路板回收方法。建立了回收模型及回收实验平台，并使用正交实验设计方法对实验进行设计，利用SPSS分析软件对实验数据进行了分析研究并结合实际实验结果得出了最佳工艺参数。通过对反应生成物进行质谱分析，推测出了生成物的主要组分，并据此对反应机理进行了研究。     

电化学技术在印制电路板含铜废液处理的应用

电化学技术因具有工艺灵活、易于控制和环境友好等优点倍受研究者关注.简要介绍了常用的电化学技术,包括内电解、常规电解和膜电解等基本原理.综述了上述电化学技术在印制电路板含铜废液再生或铜电解回收中的应用概况,分析了各种技术的优缺点,并展望了处理含铜废液电化学技术的发展前景.     

Evaluation of gold and silver leaching from printed circuit board of cellphones

Electronic waste has been increasing proportionally with the technology. So, nowadays, it is necessary to consider the useful life, recycling, and final disposal of these equipment. Metals, such as Au, Ag, Cu, Sn and Ni can be found in the printed circuit boards (PCB). According to this, the aims of this work is to characterize the PCBs of mobile phones with aqua regia; obtaining “reference” values of leaching, to gold and silver, with cyanide and nitric acid, respectively; and study the process of leaching of these metals in alternative leaching with sodium thiosulfate and ammonium thiosulfate. The metals were characterized by digesting the sample with aqua regia for 1 and 2 h at 60 °C and 80 °C. The leaching of Au with a commercial reagent (cyanide) and the Ag with HNO₃were made. The leaching of Au and Ag with alternative reagents: Na₂S₂O_3, and (NH₄)₂S₂O₃ in 0.1 M concentration with the addition of CuSO₄, NH₄OH, and H₂O₂, was also studied. The results show that the digestion with aqua regia was efficient to characterize the metals present in the PCBs of mobile phones. However, the best method to solubilize silver was by digesting the sample with nitric acid. The leaching process using sodium thiosulfate was more efficient when an additional concentration of 0.015 and 0.030 M of the CuSO₄ was added.     

基于GF-LSTM和GAN网络的小样本集人工水体溶解氧浓度预测

采用推流方式改善人工水体溶解氧分布不均衡以防止富营养化时,需要对其分布进行预测来提高推流效率,为此构建了基于生成式对抗网络(GAN,Generative Adversarial Networks)和长短期记忆神经网络(LSTM,Long-Short Term Memory Network)的溶解氧浓度预测模型。以广西大学镜湖35 m2的一片水体区域为研究对象,采用不同电压直流水泵推流,用无人船搭载在线检测仪在一段时间内定时定点采集水体溶解氧浓度数据作为原始数据样本,并采用GAN扩充数据样本。利用遗传算法和改进的一阶滤波算法进行溶解氧的噪声数据处理,结合LSTM网络构建溶解氧浓度预测模型GF-LSTM(Genetic And Filtering Algorithm-Long Short Term Memory Network)。结果表明:相比常用的BP网络,GF-LSTM网络预测的平均误差降低了62%,均方误差降低了75%;相比传统的LSTM网络,GF-LSTM网络预测的平均误差降低了22%,均方误差降低了50%。     

锂枝晶导致的锂离子电池内短路模拟研究

锂离子电池内短路是导致其热失控的主要原因之一,机械撞击、集流体边缘毛刺和锂枝晶生长等都可刺穿隔膜导致电池内短路。采用有限元数值模拟方法,对锂枝晶引起的锂离子电池内短路进行了研究,比较分析了不同锂枝晶半径、数量和中心距情况下电池的热响应特征。结果表明锂枝晶导致的电池内短路产热来源主要是正负极可逆和不可逆热。短路电流、产热功率和电池最高温度等都随锂枝晶半径的增大而增大。锂枝晶中心距增大时,短路电流和产热功率也随之变大,但由于受到电解液锂离子浓度的影响二者增加的幅度越来越小。锂枝晶中心距越大时虽然电池总产热量越大,电池平均温度更高,但由于此时短路点分布较分散,电池最高温度却较反而较小。     

Non-toxic,high selectivity process for the extraction of precious metals from waste printed circuit boards

● Au, Ag and Pd were recovered from WPCBs with high efficiencies. ● Au leaching is strictly dependent on WPCB size and reagent concentration. ● High Ag extraction efficiencies are achieved regardless of the WPCB size. ● Pd leaching works better with small and medium WPCB sizes. ● The leaching results suggest the possibility of selective recovery of metals. The work presented here focused on the extraction of gold (Au), silver (Ag) and palladium (Pd) from electronic waste using a solution of ammonium thiosulfate. Thiosulfate was used as a valid alternative to cyanide for precious metal extractions, due to its non-toxicity and high selectivity. The interactions between sodium thiosulfate, total ammonia/ammonium, precious metal concentrations and the particle size of the waste printed circuit boards (WPCBs) were studied by the response surface methodology (RSM) and the principal component analysis (PCA) to maximize precious metal mobilization. Au extraction reached a high efficiency with a granulometry of less than 0.25 mm, but the consumption of reagents was high. On the other hand, Ag extraction depended neither on thiosulfate/ammonia concentration nor granulometry of WPCBs and it showed efficiency of 90% also with the biggest particle size (0.50 < Ø < 1.00 mm). Pd extraction, similarly to Au, showed the best efficiency with the smallest and the medium WPCB sizes, but required less reagents compared to Au. The results showed that precious metal leaching is a complex process (mainly for Au, which requires more severe conditions in order to achieve high extraction efficiencies) correlated with reagent concentrations, precious metal concentrations and WPCB particle sizes. These results have great potentiality, suggesting the possibility of a more selective recovery of precious metals based on the different granulometry of the WPCBs. Furthermore, the high extraction efficiencies obtained for all the metals bode well in the perspective of large-scale applications.