添加硫酸锰对化学镀Co-Fe-P合金结构禾口磁性台皂的影响

借助扫描电镜、能谱分析、X射线衍射和振动样品磁强计研究了添加硫酸锰对Co-Fe-P合金沉积速率、结构和磁性能的影响.结果表明,少量的硫酸锰有利于Co-Fe-P镀层的沉积,但过量时会降低沉积速率.当镀液中添加的硫酸锰浓度小于0.02 mol-L-1时对镀层组成几乎没有影响,但随着其浓度进一步增大至0.04 mol·L-1,镀层组成发生显著的变化.硫酸锰对该镀层具有整平作用,而且可使镀层中颗粒细化;硫酸锰有利于镀层形成非晶或微晶态结构.硫酸锰还可以改善Co-Fe-P合金膜的磁性能.     

不同活化剂对石油焦基活性炭孔结构的影响

以石油焦为原料 ,Na OH,KOH和 Na2 CO3 为活化剂制备活性炭 ,采用氮气吸附考察了不同活化剂对活性炭的比表面积、中孔和微孔孔径分布、孔容积及平均孔径等孔结构的影响 .结果表明 :KOH活化制备的活性炭包含 1 nm的微孔和 4nm的中孔 ,总孔容 0 .648cm3 /g,比表面积大 ;Na OH制备的活性炭以 1 nm的微孔为主 ,占总孔容 ( 0 .1 65 cm3 /g)的 98% ,平均孔径 1 .83nm;Na2 CO3 制备的活性炭以 4nm的中孔为主 ,占总孔容 ( 0 .1 43cm3 /g)的 68.5 % ,平均孔径 3.42 nm,比表面积小 .3种样品的孔径都呈现出多峰分布特征 .KOH和 Na2 CO3 活化制备的活性炭的 N2 吸附脱附曲线属于 型 ,Na OH活化制备的活性炭吸附脱附曲线属于 型 .     

持续发展是唯一出路

讨论了人类、环境与发展的关系，指出不适当的发展模式已使三者之间形成恶性循环，必须及时地改变发展模式。列举了中国面临的严重环境问题，指出只有走可持续发展的道路才是唯一出路。并提出为实施可持续发展应注意的６个主要问题。     

基于多步迭代算法的数字预失真技术

为了更好地补偿功率放大器的非线性,提出一种新型多步迭代算法来求取数字预失真器。新算法结合了多步迭代算法与频域削峰技术,使功放在保证工作效率的同时更大程度提高其线性度。实验结果显示,该方法较传统的线性化技术有明显优势,功放输出信号的ACPR可改善20.66 dB。     

Hydrothermal products of the C3MS2-C12A7-MgO system

The autoclave products of reduced steel-slag of an electronic furnace mainly containing C₃MS₂ phase were detected. The hydrothermal products of this slag included calcio-chondrodite, brucite, and hydrogarnet phases. When suitable (CaO + MgO)/SiO₂ molar ratios were chosen, C₃MS₂ can react with SiO₂ to produce calcium silicate hydrates tobermorite, xonotlite, gyrolite, and truscottite phases with different saturated water vapor pressures. The phase brucite was present along with tobermorite, whereas phases Mg-xonotlite, Mg-gyrolite, and Mg-truscottite can rarely coexist with brucite. Hydrogarnet phase disappeared when Mg-truscottite was formed.     

离子色谱法测定配煤、焦炭和焦油中的氯含量

研究了用带电导检测器的离子色谱对配煤、焦炭和焦油中的Cl- 进行测定的方法。在YSA型8126A-4# 阴离子分离柱上用3.5mmol/LNa2CO3、5.3mmol/LNaHCO3做淋洗液对Cl-进行测定,方法简便快速。Cl-的检出限为2×10-6。该法也适用于F-、NO2-、NO3-、SO42-等的测定。     

几种表面活性剂在香精产品中的应用

本文阐述了几种表面活性剂在香精中应用的调配研究过程以及期间出现的不同现象,并对其进行了对比、比较.细述了这几种表面活性剂在应用过程中所出现的不同特征.     

A Non-Line-of-Sight mitigation localization algorithm for sensor networks using clustering analysis

Non-Line-of-Sight propagation of wireless signal has an impact on measured distances in range-based localization and will bias the final localization results. A new localization algorithm is proposed in this paper to mitigate Non-Line-of-Sight errors when there are more than enough anchor nodes deployed around the node to be located. This algorithm utilizes multi-round clustering analysis to filter the pre-located estimators which derive from all possible subsets of measured distances. In each round, the method density-based spatial clustering of applications with noise is adopted. Simulations show that the proposed algorithm can effectively improve localization accuracy not only when the measured distances with Non-Line-of-Sight error are minor but also under the condition that all of them suffer random Non-Line-of-Sight error.