锂电极表面膜的组成和阻抗行为

介绍了锂电池中锂电极的表面膜的组成和阻抗行为，并根据其表面膜的阻抗行为提出了电化学模型。     

悬浮床催化精馏合成支链烷基苯的模拟

Suspension catalytic distillation (SCD) has been developed recently as an innovative technology in catalytic distillation. In this paper, a brief introduction to SCD is given and an equilibrium stage (EQ) model is developed to simulate this new process for synthesis of linear alkylbenzene (LAB) from benzene and 1-dodecene.Since non-ideality of this reaction system is not strong, EQ model developed could be applied to it successfully.Simulation results agree well with experimental data, and indicate some characteristics of SCD process as an advanced technology for the production of LAB: 100% conversion of olefins, low temperature (90-100℃) and low benzene/olefin mole ratio.     

四异丁氧基镍酞菁的合成及其溶剂效应

4 异丁氧基邻苯二腈与氯化镍在强有机碱 1 ,8 二氮杂双环 (5 ,4,0 )十一碳烯 7催化下反应 ,合成了四异丁氧基镍酞菁 ,产物经FT -IR、元素分析、UV -Vis吸收光谱和1 H NMR表征了结构 ;并研究了其溶剂效应 ,结果表明 :最大吸收峰波数ν与函数 f(n ,ε)存在一定的线性关系 ,线性相关系数为 0 940 2 ,而Bayliss函数项 (n2 - 1 ) /(2n2 +1 )决定了最大吸收波长 (λmax)的位移变化 ;化合物的λmax在不同溶剂中随聚集程度增加 ,发生一定程度的蓝移     

煤有机硫赋存形态模拟与微生物脱硫研究进展

分析了煤的有机质结构和煤中有机硫赋存形态的复杂多样性，依据煤化学结构模型的预示以及煤化程度加深对芳核缩合程度增加的基本规律，探讨了模型化合物选择的理论依据及其规律性，归纳了微生物降解煤中有机硫的三种典型机理，综述了DBT，NTH，BTH和BMS等模型化合物及其部分衍生物微生物脱硫的研究进展，提出了运用多模型化合物选育降解煤中有机硫的微生物、多菌群复合培养和单一菌株广谱脱硫性能研究的新理念，展望了微生物脱硫技术的工业可行性．     

恒压操作下深层过滤阻力模型的研究

分析了流体在深层滤床中所受的阻力,从经典的达西公式和科泽尼——卡曼方程着手,推导出清洁滤层的过滤阻力及过滤速度表达式,在此基础上结合深层过滤物理模型,引入微元概念,得到恒压操作下截污滤层的过滤阻力和过滤速度数学模型,明确了过滤阻力随各种参数的变化关系,对恒压操作深层过滤的应用有指导意义。     

SEQUENTIAL LOOP CLOSING IDENTIFICATION OF MULTIVARIABLE PROCESSES USING THE BIASED RELAY FEEDBACK METHOD

Each controller in multiloop control systems for multivariable processes can be tuned sequentially with the ultimate information for the paired input and output while former loops have been closed, and hence, single-input single-output autotuning methods can be applied. In this sequential autotuning for multiloop control systems, several iterations are usually required for better control performances. Especially when pairings are undesirable, the autotuning sequences should be repeated with correct pairings, which result in long field experiments. Here, to avoid this drawback, a simple method to identify process models while loops are being sequentially tuned is proposed. The identified models can be used to correct pairings of multiloop control systems and to improve tuning performances without several field iterations. In addition, they can be used to obtain model-based control systems such as decoupling control systems.     

ON THE UNIMODALITY OF THE EXACT LIKELIHOOD FUNCTION FOR NORMAL AR(2) SERIES

Abstract. For stationary second-order autoregressive normal processes, the conjecture of uniqueness of the solution of the exact likelihood equations is examined. A sufficient condition for uniqueness is given; this condition is satisfied with very high probability if the number of observations is not extremely small. Moreover, it is shown that not more than two maxima may exist. Examples of data which actually produce a likelihood function with two local maxima are given.     

H2O-NH3-CO2体系汽液平衡计算

本文给出计算H2O-NH3-CO2三元体系在温度323.15K～473.15K、压力0.2MPa～8.0MPa、液相NH，摩尔分率≤0.3、富氨区条件下汽液平衡的UNIQUAC模型及其参数，模型的计算结果与试验数据吻合。该模型可用于尿素生产装置中蒸发冷凝、循环吸收以及水解精馏等过程的设备计算。     

A mathematical model for predicting the soil nitrogen status under varying fertilizer practices in a continuous cropping sequence

A mathematical model has been proposed for predicting the changes in soil nitrogen status due to continuous fertilization in a continuous cropping sequence. The model also enabled the prediction of the steady state of soil nitrogen for a specified fertilizer practice.The model was applied to six years nitrogen availability data of four fertilizer practices in finger millet-maize-cowpea sequence followed in the Long Term Fertilizer Experiments conducted at Tamil Nadu Agricultural University, Coimbatore, India. The agreement between the predicted soil nitrogen status by the model and the actuals was proved by employing reliability index.     

Pervaporation performance analysis and prediction—using a hybrid solution-diffusion and pore-flow model

A hybrid mathematic model for pervaporation is proposed which incorporates the concepts of solution-diffusion model and pore model. The model allows performance prediction as well as the establishment of the internal concentration and pressure profiles within the membrane. The model parameters specific to the particular membrane and mixture system are determined using liquid sorption and pervaporation experimental data. The model is experimentally examined using ethanol–water mixtures and poly(dimethyl siloxane)–poly(vinyldiene fluoride) (PDMS–PVDF) composite membranes. The characteristics of flux and separation factor predicted using the model are in fair agreement with the experimental data under various feed concentrations and downstream pressures for different membrane arrangements, including single-layer, reverse single-layer and double-layer PDMS–PVDF composite membranes. Internal profiles of pressure, concentration and component mole fraction can be established using the model. Concentration polarization phenomena for ethanol and water are located at membrane interfaces and vapor–liquid interfaces, respectively. Performances of several different membrane designs are compared using the model.