2000 Vol. 7, No. 4

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Mineral
Copper Adsorption on Olivine
Lei Shao, Rolf A. Kleiv, Kunt L. Sandvik, Cunyi Song, and  Shouci Lu
2000, vol. 7, no. 4, pp. 237-241.
Abstract:
Copper adsorption on olivine supplied by the A/S Olivine Production Plant at Aheim in western Norway was studied. The factors were evaluated which affect the uptake of copper. It is shown that the equilibrium pH of aqueous solution has the greatest influence on copper adsorption thanks to the competitive adsorption between proton and copper ions, and the adsorption of copper to olivine increases rapidly with pH increasing from 4 to 6. Moreover, initial copper concentration and olivine dose possess significant effect on copper adsorption, for the adsorption rate of copper increases with olivine dose increasing or initial copper concentration decreasing at the same pH. In addition, the ionic strength effect on the adsorption was also investigated, but it owns little effect on the adsorption process of copper due to the formation of inner sphere adsorption of copper on olivine. The experimental data show that olivine has a high acid buffer capacity and is an effective adsorbent for copper.
Metallurgy
Effect of Process Factors on Microstructure of Semisolid Continuous Casting Billets
Shuming Xing, Qijie Zhai, and  Hanqi Hu
2000, vol. 7, no. 4, pp. 242-245.
Abstract:
Semisolid continuous casting (SSCC) is a new technology to produce billets for semisolid metal forming (SSMF). The effect of process factors, such as pouring temperature, stirring rate, preheating temperature and thermal conductivity of stirring chamber, on the microstructure of SSCC billets was studied by means of the factorial experimental method. The results show that the microstructure of SSCC billets can be controlled by the above-mentioned four process factors. In order to obtain fine and rounded granular grains in an SSCC billet, the pouring temperature, preheating temperature and stirring rate should be kept in a moderate range, and the thermal conductivity of stirring chamber should be high. The regression equations with the process factors connecting the microstructure was also set up based on experimental data.
Metallurgy
Calculating Models of Mass Action Concentrations for Ni-Mn and Co-Mn Melts and Optimization of Their Thermodynamic Parameters
Jian Zhang
2000, vol. 7, no. 4, pp. 246-250.
Abstract:
According to phase diagrams, measured activities as well as the coexistence theory of motallic melts structure involving compound formation, the calculating models of mass action concentrations for Ni-Mn and Co-Mn melts are formulated and their thermodynamic parameters are optimized. As a result, the calculated mass action concentrations agree well with the corresponding measured activities, showing that these models can reflect the structural characteristics of both Ni-Mn and Co-Mn melts.
Metallurgy
Oxidizing Capability of Refining Slags Containing BaO
Gang Lu, Guoguang Cheng, Bo Song, and  Pei Zhao
2000, vol. 7, no. 4, pp. 251-255.
Abstract:
According to the coexistence theory of slag structure melts, the oxidizing capability of the refining slag CaO-MgO-FeO-Al2O3-SiO2 is studied and the relationship between the mass action concentration of FeO (NFeO) and the activity of FetO (αFetO) for this slag is found to be as NFeo=0.656 1 αFetO. Furthermore, the calculating model of oxidizing capability of the refining slag BaO-CaO-MgO-FeOAl2O3-SiO2 is established. A satisfactory result is obtained when using the above oxidizing capability relationship to calculate the desulphurizing capability of such refining BaO-slags.
Metallurgy
Agglomeration Mechanism of Rich Hematite Sinter with Lowering SiO2 Content
Dongping Duan, Yibo Gong, and  Ju Wang
2000, vol. 7, no. 4, pp. 256-260.
Abstract:
The mini-sintering test was introduced. The experiments of specimens of rich hematite with lowering SiO2 content were carried out by the mini-sintering test. The strength and mechanism of agglomeration were studied mainly when silica content in sintered specimens was decreased gradually. The relationships between SiO2 volume and morphology of sinter were also investigated. It is considered that high grade sinter can be developed by raising sinter basicity so as to enhance complex calcium ferrite content or lowering sinter basicity so as to make Fe2O3 bonding for strength.
Metallurgy
Numerical Modeling of NO Formation during Packed-bed Combustion of Coke Granules
Chunbao Xu, Shengli Wu, and  Daqiang Cang
2000, vol. 7, no. 4, pp. 261-268.
Abstract:
A comprehensive kinetic model of NO formation during coke combustion in packed-bed in presence of noncombustible particles was developed. The detailed homogeneous gas-phase chemistry (including 102 chemical reactions), heterogeneous gas-solid chemistry (including 11 reactions) of coke combustion and NO formation, and the heat and mass transfer were taken into account in the present model. The governing equations which are strongly coupled, non-linear and unsteady with 26 unknowns in total, were dispersed into differential equations with the finite differential method. Meanwhile, all the differential equations were numerically solved to give the time-histories and space-distributions oftemperatures of the bed and gas phase as well as the concentrations of all the gaseous species. By comparison, the experimental data were explained well by the calculated results. Based on the kinetic and mathematical model, the effects of O2 content of inlet gas, the initial chemical analysis of coke, bed-temperature and local reductive atmosphere (CO/O2) on NO formation during packed-bed coke combustion were numerically discussed. It was found that coke samples with a higher initial content of [N] and volatile matters, combusted under a suitable O2-containing atmosphere produced less NO emission. The reactions between CO and NO, catalyzed by high temperature surface of coke particles may be responsible for efficient reduction of NO.
Metallurgy
An Improved Artificial Neural Network Model for Predicting Silicon Content of Blast Furnace Hot Metal
Bin Yao, Tianjun Yang, and  Xiaojun Ning
2000, vol. 7, no. 4, pp. 269-272.
Abstract:
Based on the skills of initializing weight distribution, adding an impulse in a neural network and expanding the ideal of plural weights, an artificial neural network model with three connection weights between one and another neural unit was established to predict silicon content of blast furnace hot metal. After the neural network was trained in the off-line state on the basis of a large number of practical data of a commercial blast furnace and making many learning patterns, satisfactory testing and simulating results of the model were obtained.
Metallurgy
Application of Gray Linear Programming in Sintering Mixing Calculation
Deling Zheng, Zhijiang Zhao, Wei Fang, and  Tong Fang
2000, vol. 7, no. 4, pp. 273-276.
Abstract:
The mixing calculation cannot be restrained by the quantity of return mines. In order to solve this problem, a method that the sintering mixing proportion is optimized by gray linear programming is presented based on the gray system theory and optimal theory. By using this method, the quality of sintering mines is improved and the energy consumption is reduced.
Materials
Phase Equilibria in Ni Rich Region of Ni-Al-Fe System
Chengchang Jia, Kiyohito Ishida, and  Taiji Nishizawa
2000, vol. 7, no. 4, pp. 277-281.
Abstract:
The phase equilibria between γ, α, γ' and β in the Ni-rich region of the Ni-Al-Fe system were investigated by the diffusion couple method and thermodynamic models. The thermodynamic parameters were assessed based on experimental results and thermodynamic data. Moreover, the system's phase equilibria from 900 to 1 300℃ were calculated with regular solution and sublattice models, and it is shown that the theoretic results agree well with experimental phase diagram data.
Materials
Structure and Composition of Crystalline Carbon Nitride Films Synthesized by Microwave Plasma Chemical Vapor Deposition
Yongping Zhang, Yousong Gu, Xiangrong Chang, Zhongzhuo Tian, and  Xiufang Zhang
2000, vol. 7, no. 4, pp. 282-285.
Abstract:
Crystalline carbon nitride thin films were prepared on Si (100) substrates by a microwave plasma chemical vapor deposition method, using CH4/N2 as precursor gases. The surface morphologies of the carbon nitride films deposited on Si substrate at 830℃ are consisted of hexagonal crystalline rods. The effect of substrate temperature on the formation of carbon nitrides was investigated. X-ray photoelectron spectroscopy analysis indicated that the maximum value of N/C in atomic ratio in the films deposited at a substrate temperature of 830℃ is 1.20, which is close to the stoichiometric value of C3N4. The X-ray diffraction pattern of the films deposited at 830℃ indicates no amorphous phase in the films, which are composed of β- and α-C3N4 phase containing an unidentified C-N phase. Fourier transform infrared spectroscopy supports the existence of C-N covalent bond.
Materials
Physical and Electrochemical Properties of Acid 1-Methyl-3-Ethylimidazolium Chloride/AlCl3/LiAlCl4Molten Salt
Ying Sing Fung and  Ruqi Zhou
2000, vol. 7, no. 4, pp. 286-291.
Abstract:
An acid molten salt was formed by means of mixing 1-methyl-3-ethylimidazolium chloride with AlCl3 and LiAlCl4 at ambient temperature. The solubility of LiAlCl4 in the acid molten salt was measured. Variations of specific conductivity, density and kinetic viscosity of molten salt with mole ratio of MeEtlmCl/AlCl3/LiAlCl4 were observed. A solubility maximum of LiAlCl4 with 54% in molar fraction was shown at a mole ratio of AlCl3/MeEtlmCl = 1.2. An increase in density and viscosity, and a decrease in specific conductivity were found with increasing the concentrations of LiAlCl4 and AlCl3. The dependence of specific conductivity of this acid molten salt upon temperature was found to display Vogel-Tammanm-Fucher behavior. However, Arrhenius behavior was observed at two special mole ratios of MeEtImCl/AlCl3/LiAlCl4 = 1:1.5:0.05 and 1. 1.5:0. 10. The conductivity equations of this molten salt at various compositions were constructed. The ion interaction in the acid molten salt was studied using 7Li and 27Al nuclear magnetic resonance spectroscopic methods. The effect of concentrations of LiAlCl4 and AlCl3 on the ion interaction was also discussed.
Materials
Phenomenological Modeling of Warm Compaction and Experimental Verification
Shiju Guo and  Tao Lin
2000, vol. 7, no. 4, pp. 292-295.
Abstract:
A phenomenological modeling approach to establishing the warm compaction equation and curves by modifying the regression equation of the room-temperature compaction curve is presented. An enhanced factor of compacting pressure is introduced into the equation in order to reveal the effects of powder/die temperature and filling height of powders on green density. Compaction curves yielded from this equation are consistent with the experimental data of ATOMET grade iron powders. The curves show that the powder/ die temperature should reduce as the filling heights of powders increase and that in some cases warm compaction can not give rise to a higher green density.
Information
Mathematical Model for the Drying Process of Granular Materials in a Fluidized Bed
Xiulan Huai, Li Wang, and  Zhiyun Qu
2000, vol. 7, no. 4, pp. 296-300.
Abstract:
The experiment of granular materials, barley, drying in a fluidized bed was carried out to investigate the influence of the factors, inlet air temperature, air moisture, bed height and original moisture content of the dried materials on drying process. Based on the experimental data, a corresponding mathematical model is presented. As a conclusion, a higher inlet air temperature and a reasonable bed height should be used so as to increase the dring rate and to improve the product quality.
Information
Mathematical Models of Logistics Decision in Slab Yard in an Iron and Steel Complex
Sujian Li and  Zhiming Chan
2000, vol. 7, no. 4, pp. 301-304.
Abstract:
The slab yard in a hot strip rolling mill is a key link and a buffer in the production system, which joins continuous rolling process and continuous casting process. There are a large quantity of operations of input and output in the slab yard. Throughout systematic analysis and research on the slab yard, the mathematical models of logistics decision for input, output and restorage operation are built. On the basis of these decision models, the management system for the slab yard is developed. Simulation application to Human Iron & Steel Complex of China shows that they are very effective.
Information
Analytical Criteria for Local Activity of CNN with Two-port and Application to Biochemical Model
Lequan Min and  Na Yu
2000, vol. 7, no. 4, pp. 305-314.
Abstract:
The analytic criteria are presented for the local activity theory in two-port Cellular Neural Network (CNN) cells with three local state variables, and the application to a Biochemical Model CNN (BMCNN) is given for coupling in series of two enzymes whose prototype was studied by Decroly and Goldbeter. The bifurcation diagrams of the BMCNN's show that there does not exist a locally passive domain, and the computer simulation exhibited that convergent patterns, oscillatory patterns or chaotic patterns may emerge if the selected cell parameters are located in locally active unstable domains but nearby the edge of chaos domain. In particular, the coexistence of multiple oscillations was observed in the corresponding triple cell couples of the BMCNN's with the same initial conditions.
Information
A WT-STFT combining Algorithm
Xisheng Li and  Shaochun Wang
2000, vol. 7, no. 4, pp. 315-317.
Abstract:
A fast wavelet packet (WP) algorithm is presented, in which the wavelet transform (WT) and the short-time Fourier transform (STFT) are combined. As WT produces multiresolution of frequency and time, and STFT has a fast algorithm, the combining algorithm is suitable for fast signal analysis.
Information
A New Clustering Algorithm for Categorical Attributes
Songfeng Lu and  Zhengding Lu
2000, vol. 7, no. 4, pp. 318-322.
Abstract:
In traditional data clustering, similarity of a cluster of objects is measured by distance between objects. Such measures are not appropriate for categorical data. A new clustering criterion to determine the similarity between points with categorical attributes is presented. Furthermore, a new clustering algorithm for categorical attributes is addressed. A single scan of the dataset yields a good clustering, and more additional passes can be used to improve the quality further.