Search results

Rolling scheduling is an important part in the operation of tandem cold mill, which defines stand reductions, tensions, rolling forces, roll torque, mill maximum speeds, and threading adjustments.
(4) where N is roll power, ε is reduction rate, and n is roller’s speed Rolling Force Formula.
The fifth stand usually functions to flatten the strip, thus in this simulation, the reduction of the fifth stand remains unchanged.
According the data from Table 1, a notable reduction of electric power cost is shown, which is about 20 %.
A considerable reduction of power cost can be achieved.

The results showed that stable silver nanoparticles collide solution with 20-30 nano, applied on oxidized cotton fabric under certain condition, could produce ideal antibacterial rate over 94% of bacterial reduction to both Staphylococcus aureus (S.aureus) and Escherichia coli (E.coli) after 50 consecutive washings.
The percentage reduction was determined as follows: Reduction in cfu (%) =×100% (1) A and B are the bacterial colonies of the original cotton fabrics and the finished cotton fabrics, respectively.
The antimicrobial activity of silver nanaoparticles finished fabrics was affected little by the increase of laundering circles, with more than 94% of bacterial reduction maintained even after 50 times of washing, which showed the bonds between cotton and HBP-NH2 I were durable enough after repeated launderings.
Table 2 Washing durability of the silver nanoparticles treated cotton fabric Washing times S. aureusa E. colib Surviving cells [CFU/ml] Reduction [%] Surviving cells [CFU/ml] Reduction [%) 0 1.05×104 99.16 1.82×104 99.10 10 1.6×104 98.72 2.84×104 98.60 20 3.13×104 97.50 7.95×104 96.08 50 7.45×104 94.04 1.18×105 94.19 aSurviving cells of raw cotton fabric was 1.25×106CFU/ml; bSurviving cells of raw cotton fabric was 2.03×106 CFU/ml With the laundering circles increasing, the fabric whiteness enhanced because more silver nanoparticles with certain colour were washed off, which were proved by the ICP data.

Comparison of thermal conductivities of Si thin film using MD calculation with bulk experimental data from Refs.5 at different temperatures are shown in Fig.3.The thermal conductivities of Si thin film are almost independent of the temperature, but the corresponding bulk values show remarkable reduction as temperature increasing.
Fig.3 Comparison of calculated thermal conductivity of Si thin film at various temperatures with bulk data Theoretical Calculation To confirm that MD simulation can provide accurate results for the thermal conductivity of semiconductor thin films with vacancy defects, we also base the theoretical analysis applied to silicon thin films to calculate the thermal conductivity.
(6) Where, is the thickness of the thin film, is a boundary scattering reduction function:
Both the results have a good agreement that the linear reduction of the thermal conductivity with film thickness increasing is pronounced.

In order to studying the anticancer activity of juglone (1), plumbagin (2) and isoplumbagin (3), we synthesized 1-3 from 4,8-dihydroxynaphthol-β-D-glucoside (4) by a serious of reactions such as deglycosylation, etherification, Duff reaction, Clemmensen reduction and oxidation reaction.
Target compound 2 was synthesized by Clemmensen reduction then oxidation with CAS in 69% yield.
The structures of the target compounds were determined by their physicochemical properties, 1H NMR and 13C NMR spectral data that were shown in Ref. [8].
Compound 8 was reduced by Clemmensen reduction in 64 % yield, and then oxidized with CAS to give 10 in 83 % yield.
The structure of 3 was determined by the physicochemical properties, 1H NMR and 13C NMR spectral data that were shown in Ref. [9].

The reduction of solder squeeze out is significant for all chip sizes.
This is on the one hand due to the improved material properties of the diffusion solder and on the other hand due the reduction of the bond line thickness.
Data for conventional solder are marked in red, data for diffusion solder in green. 0 50 100 150 200 250 300 0.000 0.005 0.010 0.015 0.020 0.025 0.030 time in sec Tj in °C Fig. 4: Junction temperature Tj during a sine-half wave surge current of 10 ms.
This provides strongly improved temperature stability with respect, e.g., to the tendency for Kirkendall void formation.The reduction of the maximum junction temperature during ~ms surge pulses for a given current as shown in Fig. 4 also improves the device reliability: The Coffin-Manson model used to determine the device lifetime during repetitive pulses strongly depends on the maximum junction temperature reached during the pulses.

With the powerful control function and visualized operation, the multifarious data input and model selection will become simple through the concise and friendly interface.
VB has rich data types, and is a kind of structured design ideas and language, but also easy to learn.
The test results show that under the same fluctuation frequency and fluctuation amplitude, the percentage of elongation and percentage of area reduction of pulse square wave are the bigger, showing that stress corrosion sensitivity of pipeline steel is the weaker relatively under such condition; while the percentage of elongation and percentage of area reduction of triangular wave are the smaller, showing that stress corrosion sensitivity of pipeline steel is the stronger relatively under such condition.
Table 1 Test results of stress corrosion test Waveform Percentage elongation (%) Percentage of area reduction (%) Fracture stress (MPa) Pulse square wave 13.4 69.7 275 Triangular wave 11.1 60 327 Fig.2 shows the fracture feature of X70 steel specimen gained after F-SSRT testing is superimposed with pulse square wave in J6B solution of simulated soil.

Antares Software was used to collect the data on the elongation of the samples and the measuring of temperature in pre determined periods of time.
Results from the creep tests at 600°C are summarized in Table 1, which shows the values of stress (s), primary creep time (tp), secondary creep rate (ε·s), final creep time (tf), final strain (ef) and reduction of area (RA).
The reduction of the steady-state creep rate (Table 1) demonstrates that the higher creep resistance of Ti-6Al-4V is observed in samples with ceramic coating.
Table 1 - Creep data at 600°C.
Occurred a decreasing of steady state creep in function of the reduction of oxidation process, showing that for the Ti-6Al-4V alloy their life time was strongly affected by the superficial treatment that was submitted because the oxidation suffered by the material.

This paper presents the analysis of the attitude condition of RazakSAT based on ADS data.
This paper represents analysis the condition of RazakSAT based on attitude sensor of attitude determination system data.
Result and Discussion The ADS measurement data of RazakSAT provided by ATSB are given Table 2.
Gyroscopes Summary This paper presents the analysis of attitude determination system based on RazakSAT data.
RazakSAT ADS data measurement results show that the satellite is in detumbling mode.

The success of this approach depends largely on the phased array design, and the array data processing method.
； Signal from microphone which samplied equally inreceiving time was converted to samplied in launch time becomes samplied not equally,so interpolation is needed in data processing.
Fig.3 View of array installation Data processing Two dimensions of ARJ aircraft landing gear was meshed, and noise intensity of grid points was estim- ated.
Fig.4 is signal waveform time-domain figure.of the 26th and 29th channels received. 0 5 10 15 20 25 30 35 -0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 t/s Waveform chn26 0 5 10 15 20 25 30 35 -1.5 -1 -0.5 0 0.5 1 t/s chn29 Waveform (a) channal 26 (b) channel 29 Fig.4 35s Time domain waveform Signal waveforms that 30 array elements received are as Fig.4 shows, apparently fly-over time of ARJ aircraft is15s around, in Fig.4 (a) ,waveform is stable , in Fig.4 (b), waveform has bigger ups and downs in 16s and 28s around, signals received by 17 channels are relatively stable as shown in Fig.4 (a), other channels are existing fluctuation as shown in Fig.4 (b).Data processing mainly concerns about signal strong part so that only the first 16s nearby fluctuations could have influence, there are same situation in channels 7,8,9,13,17 and 29.
QTD 2 (Quiet Technology Demonstrator 2) main landing gear noise reduction fairing design and analysis.13th AIAA/CEAS Aeroacoustics Conference, 2007

Research on Generation Coal-saving Effect of the Tiered Pricing of Residential Electricity under Different Power Generation Structures ZHANG Hui-juan1,a, TAN Zhong-fu2, b,XU Hui3,c 1Institute of Energy Economics and Environment, North China Electric Power University, Beijing 102206, China 2Institute of Energy Economics and Environment, North China Electric Power University, Beijing 102206, China 3Institute of Energy Economics and Environment, North China Electric Power University, Beijing 102206, China azhanghuijuan1213@163.com , btanzhongfubeijing@126.com, clvyx@hgb.hl.sgcc.com.cn Keywords: tiered electricity pricing; demand response; generation structure; coal saving effect Abstract: Tiered pricing of household electricity is a new price measure using economic leverage to encourage energy conservation and emission reduction in electric power industry.
Tiered pricing of household electricity is another measure using price leverage to promote energy saving and emission reduction in power industry.
(7) Case study Data.
Table 1 Parameters of coal-fired and wind power generating units of different scenarios Type of Units Units Installed capacity [MW] Utilization hours [hour] power consumption rate of plants Purchasing price [RMB/MWh] Standard coal consumption rate [g/KWh] Base Scenario Coal-fired units A 600 5000 5.36% 391.9 304 B~C 300 4500 5.36% 391.9 328 D~I 50 3500 5.36% 372.7 442 Wind power plants 246.9 2000 4.05% 610 Contrast Scenario 1 Coal-fired units A 600 5000 5.36% 391.9 304 B~D 300 4000 5.36% 391.9 328 Wind power plants 246.9 2000 4.45% 610 Contrast Scenario 2 Coal-fired units A~B 600 5500 5.36% 391.9 304 Wind power plants 246.9 2000 4.45% 610 Data source: data of base scenario was collected from the Grid Company of city H.