聚合氯化铝铁的制备、使用及混凝机制研究

以氯化铝和氯化铁为原料制备出一系列不同铝铁物质的量比及碱化度的无机高分子混凝剂——聚合氯化铝铁（PAFC）,并应用于地表水的混凝处理过程。考察PAFC的混凝效能及产生的絮体特性,进而对其使用条件进行优化并分析混凝机制。结果表明,PAFC为多羟基桥连的铝铁聚合物,水解后发生电中和作用使胶粒脱稳,而后通过羟桥和氧桥联接产生架桥和卷扫沉淀作用,混凝效果优异。PAFC的pH适用范围较宽,但铝铁物质的量比对其水解过程影响较大,在铝铁物质的量比为7:1、碱化度为0.5、投加量为10 mg/L时,絮体的粒度及生长速度最大,此时浊度和UV₂₅₄的去除率分别达84.93%和78.52%。此外,正交实验的结果表明水力条件对PAFC的混凝效能影响显著,其最佳使用条件为：快搅时间为20 s、快搅速度为200 r/min、慢搅时间为15 min、慢搅速度为40 r/min。     

脉冲高度权重技术测量197Au中子俘获截面

脉冲高度权重技术是利用C_6D_6探测器测量中子俘获截面的一种数据处理方法。在中国散裂中子源(China Spallation Neutron Source,CSNS)的反角白光中子源(Back-n)靶站上,通过测量金靶(~(197)Au)的中子俘获截面,验证了该方法的可靠性。首先利用Geant4蒙特卡罗程序模拟给出了不同靶条件下的探测器效率,脉冲高度权重函数等基本项,使得加权后的探测器效率与γ能量成正比。然后通过实验测量了~(197)Au中子俘获截面。结果表明:测量获得的中子俘获截面数据和ENDF/B-VⅢ.0评价数据相符合,同时发现随着实验靶尺寸的不同和质子束功率的增加,会使得实验本底的扣除误差越来越大。     

基于双离合变速器电控单元的Volcano CAN开发

Volcano 是集汽车电子网络设计、实现和测试于一体的完整工具链。它包括整车网络规划及优化设计工具VNA,网络节点(TCU等)实现工具VTP以及网络测试工具Tellus。本文着重介绍了基于TCU的VTP。     

Precise Extraction of Charge Carrier Mobility for Organic Transistors

Unreliable mobility values, and particularly greatly overestimated values and severely distorted temperature dependences, have recently hampered the development of the organic transistor field. Given that organic field‐effect transistors (OFETs) have been routinely used to evaluate mobility, precise parameter extraction using the electrical properties of OFETs is thus of primary importance. This review examines the origins of the various mobilities that must be determined for OFET applications, the relevant extraction methods, and the data selection limitations, which help in avoiding conceptual errors during mobility extraction. For increased precision, the review also discusses device fabrication considerations, calibration of both the specific gate‐dielectric capacitance and the threshold voltage, the contact effects, and the bias and temperature dependences, which must actually be handled with great care but have mostly been overlooked to date. This review serves as a systematic overview of the OFET mobility extraction process to ensure high precision and will also aid in improving future research.     

Chloroform Hydrodechlorination on Palladium Surfaces: A Comparative DFT Study on Pd(111), Pd(100), and Pd(211)

Topics in Catalysis - Palladium has been shown to be an effective catalyst for chloroform hydrodechlorination, which serves as a promising treatment method for industrial chloroform waste. To...     

废菌渣活性炭的制备及对废水中硝基苯的吸附

以废菌渣为原料制备活性炭，采用能量-色散光谱（EDS）和傅里叶变换红外光谱仪（FTIR）进行表征，结果表明：活性炭表面具有多种官能团，有利于提高对硝基苯的吸附。并研究了活性炭吸附硝基苯的影响因素（pH、初始浓度、吸附时间、投加量）、吸附等温线及热力学。结果表明：在常温中性pH条件下，初始浓度为50mg/L，活性炭用量为0.15g时硝基苯去除率可达98%，出水水质满足《污水综合排放标准》（GB 8978－1996）中对硝基苯浓度低于2.0mg/L的要求。活性炭对硝基苯的吸附具有较快的吸附速率，即1min接近平衡。该吸附行为是自发放热反应，可以用Freundlich模型很好地拟合。废菌渣活性炭对硝基苯的吸附主要是疏水作用和氧化钼活化共同作用的结果。因此，以农业废弃物-废菌渣制备得到的废菌渣活性炭具有良好的经济实用性，可用于废水处理中，实现以废治废的目的。     

南美洲某铜矿排土场边坡稳定性研究#br#

为保证排土场安全生产，以南美某铜矿排土场边坡为例，应用极限平衡法模拟现状排土场边坡在降雨入渗前后以及地震工况下安全系数、渗流场变化规律，结果表明，在降雨入渗之前，排土场安全系数高于规范值，边坡处于稳定状态；降雨入渗之后，边坡体积含水率增加，土体发生软化，强度参数降低，边坡沿软弱层面发生滑动破坏，造成边坡失稳；在地震工况下，安全系数下降明显。在其基础上，利用MIDAS软件建立排土场边坡三维数值模型，并利用有限元法进行数值模拟，结果表明，排土场最易发生屈服的区域为坡角基底处，其物理力学指标较低，底部土体先发生屈服破坏，之后带动上部台阶边坡发生破坏，排土场破坏模式主要以深层滑动为主。2种计算方法结果得出边坡破坏模式不同，边坡发生破坏的趋势相近，体现了2种计算方法的合理性。     

红岭矿18线南西翼通风系统技术改造

针对矿山18线南西翼矿体开采过程中存在的通风系统不完善、风量欠缺、污风无法及时排出等问题，运用风压平衡原理、网络优化技术、机站优化技术以及计算机网络模拟技术展开研究，拟定了3种可行的通风方案。经技术经济比较，确定了新掘18线905～855 m回风井（1.5 m），保留该井905 m 水平回风机站，并在855 m 水平新设1台K45 6 №12风机（18.5 kW）方案。数值模拟结果表明：18线南西翼通风系统总风量达到20.5 m3/s，井下风流的可调性和稳定性增强，为矿山的安全生产提供了有力保障。     

Adaptive backstepping repetitive learning control design for nonlinear discrete‐time systems with periodic uncertainties

This paper addresses a tracking problem for uncertain nonlinear discrete‐time systems in which the uncertainties, including parametric uncertainty and external disturbance, are periodic with known periodicity. Repetitive learning control (RLC) is an effective tool to deal with periodic unknown components. By using the backstepping procedures, an adaptive RLC law with periodic parameter estimation is designed. The overparameterization problem is overcome by postponing the parameter estimation to the last backstepping step, which could not be easily solved in robust adaptive control. It is shown that the proposed adaptive RLC law without overparameterization can guarantee the perfect tracking and boundedness of the states of the whole closed‐loop systems in presence of periodic uncertainties. In addition, the effectiveness of the developed controller is demonstrated by an implementation example on a single‐link flexible‐joint robot. Copyright © 2014 John Wiley & Sons, Ltd.     

Disease Ionomics: Understanding the Role of Ions in Complex Disease

Ionomics is a novel multidisciplinary field that uses advanced techniques to investigate the composition and distribution of all minerals and trace elements in a living organism and their variations under diverse physiological and pathological conditions. It involves both high-throughput elemental profiling technologies and bioinformatic methods, providing opportunities to study the molecular mechanism underlying the metabolism, homeostasis, and cross-talk of these elements. While much effort has been made in exploring the ionomic traits relating to plant physiology and nutrition, the use of ionomics in the research of serious diseases is still in progress. In recent years, a number of ionomic studies have been carried out for a variety of complex diseases, which offer theoretical and practical insights into the etiology, early diagnosis, prognosis, and therapy of them. This review aims to give an overview of recent applications of ionomics in the study of complex diseases and discuss the latest advances and future trends in this area. Overall, disease ionomics may provide substantial information for systematic understanding of the properties of the elements and the dynamic network of elements involved in the onset and development of diseases.