Search results

The X ray powder diffraction data of the products of different reductants at different sintering temperatures and holding time are shown in Fig. 1.
It shows that the reaction of carbothermal reduction of mullite had ended at this time.
When sintering time was 5h, the peak of α-Al2O3was the highest, showing the best reduction effect at this time.
Second, the carbothermal reduction of SiO2 occurred at about 1500°C or at a lower temperature.
Finally, when the reaction of carbothermal reduction of SiO2was complete, the carbothermal reduction of mullite occurred at about 1550°C or at a higher temperature, and the end temperature of carbothermal reduction of mullite is 1600°C.

Study on technology of blast furnace energy saving and consumption reduction ShuangPing YANGa , Yanbin CHI, miao WANG, Jie DONG, Congrong ZHANG, Yuan SHE School of Metallurgical Engineering, Xi’an university of Architecture and Technology, Xi’an 710055,China ayang_sping@163.com Keyword: BF; energy saving and consumption reduction; operation system and operation technology; optimization Abstract: By study the development situation of blast furnace smelting in china and the blast furnace operation system and technology, combined with production conditions of JISC BF, based on a large number of the production data, the comparison analysis test on JISC BF operation system and technology was did.
Based on the above efforts, the technical and economical indexes of Chinese iron and steel products have been improved obvious (see Table1), Table 1.The technical economical indexes of Change of iron and steel in 90’s Item 1990’s 2000’s Increament(%) Coke ratio(kg/t) 525 429 -18.29 Injecting Coal ratio(kg/t) 35.43 118 +233 charged ore grade(%) 53.31 56.81 +6.57 From the data in the above tables, the progress having been made in iron making technology in China can be seen from the following aspects
According to the metallurgical condition in JISC and the measured data, the factors which have more influence on coke ratio was determined, then the quantitative relationship between the factor and coke ratio was calculated by partial derivative equation. 2.2 Problem about blast temperature High blast temperature problem consists of two things: improving the capacity of hot stove providing high blast temperature and improving the BF requirements level of high blast temperature, which is really embodied by supplying plentifully and making full use of.

Azoxy compounds are prepared mostly by reduction of aromatic nitro compounds or oxidation aromatic anilines.
Azoxy compounds can be prepared by electrolytic reduction of nitro compounds[10].
Among the reduction methods, sodium borohydride reduction can be operated at room temperature easily, and the yield of azoxy compounds is high.
Reduction nitro compounds using sodium borohydride.
Table 3 Yields and corresponding MS data of azoxy compounds Entry Product Yield [%] MS(EI), m/z [%] 1 2a 85 198(M+, 22), 182(12), 169(21), 105(18), 91(25), 77(100) 2 2b 41 226(M+, 21), 211(60), 104(19), 91(100), 65(37) 3 2c 53 226(M+, 57), 119(18), 105(31), 91(100), 79(25), 65(42) 4 2d 48 254(M+, 34), 238(20), 197(15), 105(100), 91(32), 77(60) 5 2e 27 258(M+, 93), 242(33), 121(83), 107(100), 92(45), 77(55) 6 2f 87 266(M+, 7), 250(25), 139(33), 125(21), 111(100), 90(38) 7 2g 90 266(M+, 5), 250(11), 139(26), 125(6), 111(100), 75(33) Reusability of the catalyst.

MPEG-4, Data hiding, BPCS.
Steganography is the idea of embedding a secret data in different media and has become an important regulation of methods of data integration.
This approach invents data hidden in high-security environments.
of course there is limitation of data that could be hide.
It also depending on the amount of data that to be hides in one frame and also to the color information reduction.

Figure 3 Octree model Point cloud data is reduced by octree data structure according to certain rule.
(a) Data of pre-compression b) Data of post-compression (c) Data of post-octree compression only Figure 5 Compression of point cloud data Fig. 5(c) illustrates the compression effect only with octree method.
STL File Generation with Data Reduction by the Delaunay Triangulation Method in Reverse Engineering.
Adaptive data compression for massive scan data.
Data Reduction for Point Cloud Using Octree Coding.

Analyzing the clock timing of the ILX511, which is a reduction-type linear image sensor, the CCD driving circuit, analog-to-digital conversion(ADC) circuit and data storage circuit were designed.
Fig.1 The system overall diagram Hardware Design The designed circuits are composed of the core chip CPLD, data acquisition based CCD, analog-to-digital conversion and data storage.
Data Storage Module.
The data storage circuit is shown as Fig.4.
Fig. 6 The driving timing Summary Based on the analysis of the ILX511 clock timing, using the ILX511 to capture spectrum, the AD9220 to convert analog to digital and the IDT7283 to store data, the spectral data acquisition, conversion and storage circuit were designed.

Weather the emission reduction of SO2 being successful or not is the key for finishing the task of emission reduction of SO2 during “the Twelfth Five-Year Plan” in Sichuan Province.
In accordance with the population data of each city, energy data, and per capita living energy consumption of standard coal for domestic use, liquefied petroleum gas, natural gas in each city, etc. in the statistical yearbook of Sichuan Province, the emission factors [10] (showed as table 2) of SO2 in the rural and urban household cooking range are referred from the Discharge Coefficients Manual of Industrial Pollutants in The First Nationwide Pollution Source Census are adopted to calculate the SO2 emissions of the domestic area source in the Chengdu Economic Circle.
Therefore, the concentration distribution of SO2 in the whole economic circle can not be fully reflected only through monitored data.
Research on Pollution Control Measures Emission Reduction Objectives.
Therefore, the emission reduction of the SO2 becomes the actual need for the protection of ambient air quality.

Aluminum Reduction Cell’s Fault Monitoring Based on LS-SVM Shuping WANG1, Yajing SONG1, Hui WANG2 1Shandong Water Polytechnic, Rizhao Shandong 276826, China 2Shandong Taikai Transformer Co.
Fault feature extraction of characteristic vector (1)Aluminum electrolysis fault feature analysis Through the comparison of electrolytic tank under normal and fault data, and groove resistance spectrum analysis, we found that in normal electrolysis aluminium,liquid undulation, or low electrolyte containing anode block and an anode long bud under four different conditions, the frequency and amplitude of the position groove resistance are different, with 5 minutes for a cycle of cell data analysis, can be shown in Table 1 different slot status characteristics in frequency domain.
The frequency band energy accounts for the percentage of total energy and total energy spectrum, this algorithm for support vector machine, sampled data generalization is important, considering all kinds of electrolytic cell situation difference degree, in order to avoid wide input range than the range of small input quantity occupies the superiority, so here on the the total energy spectrum are normalized
(2) Logarithmic transformation, is given as follows (3) Inverse cotangent function conversion formula In the experiment, firstly use inverse cotangent function conversion makes the total energy spectrum is normalized, and then the diagnostic sample was divided into training samples and test samples, all kinds of condition number of samples are shown in table 2: Table 2 Selection of Samples condition normal anode tsuga lower polar distance fluctuations in liquid aluminum training samples 60 45 25 25 test samples 20 20 15 20 Different state of the training data as shown in table 3: Table3 Some Sample Data Total energy A1 A2 A3 A4 A5 A6 A7 A8 A9 A10 A11 Category 240 3876 844 577 518 639 677 105 209 151 617 1787 1 3076 300 776 4986 2508 869 51 59 34 20 130 268 2 170 2516 874 494 250 1132 787 894 498 155 659 1741 1 2047 629 443 6564 1550 104 85 116 36 67 149 257 2 227 4044 1637 416 299 556 102 149 313 84 752 1648 1 3210 2785 227 375 4028 266 76 1317 399 75 129 321 3 3134 1409 419
532 4006 424 239 2284 276 62 137 213 3 2395 598 206 144 58 26 36 17 26 12 99 8779 4 1553 966 138 77 51 16 19 17 19 19 338 8340 4 Notes：All the above data The test used in the fault diagnosis of the number of samples is not particularly much, here using leave-one-out cross validation method to evaluate the generalization performance of classifier.

Spalart-Allmaras one-equation turbulent model was used for simulations. 3 Results and discussions 3.1 Validation for baseline model In order to validate the present numerical approach, the computed lift and drag coefficients of the present CFD study at M=1.5 are compared with experimental data as shown in Fig. 3.
It is clear to see that the lift and drag force coefficient of the present CFD results and the experimental data agree well (within 1% and 7.5% respectively) indicating that the numerical methods are accurate enough to capture the main flow characteristics of grid fins.
Numerical Study on Drag Reduction for Grid-Fin Configurations.
Numerical Study on Drag Reduction for Grid-Fin Configurations.
Swept-back Grid Fins for Transonic Drag Reduction.

The data recovery availability of the client is the main design goal of data dispersal algorithms.
According to technological details, there are mainly three design routines: data backup or mirror, data partitioning or data striping, erasure code et. al.
Data partitioning and Striping technology Data partitioning is to divide the original data into several segments, and store them on physically different storage devices.
Piece P: The original data D is partitioned into smaller data units with the same length.
Fragment F: It’s the atomic unit of redundant data.