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H2-TPR (Temperature-Programmed reduction) TPR used the GC method with a thermal conductivity detector.
The reduction mixture gases were purified using a 105 deoxidizer and silica gel; flow-rate of the mixture of H2 and N2 was 40ml/min.
In this work, the specific surface area of these carriers forα-Al2O3, cordierite andγ-Al2O3 ,respectively, was ～12m2/g, ～6m2/g,and ～140m2/g.Those data indicated that the surface area of α-Al2O3 was further twice as large as that of cordierite, so the activity of L-S-C-O/α-Al2O3 was better than that of L-S-C-O/cordierite.
Fig.2 The XRD patterns of samples Temperature-programmed Reduction The TPR profiles concerning pure carrier, pure active component and a few kinds of prepared catalysts were given in Fig.3, which showed that a few kinds of pure carrier had not any high reduction peaks suggesting the carrier was unable to be reduced at range of experiment temperature (under 700℃).
Then there was a small reduction peak of carrier γ-Al2O3 at 550℃, probably hydroxyl reduction peak.

In order to realize simulation modeling of complex particle like corn, change the original rough and approximation methods, with the help of outer outline 3D scanning of the corn granule, scanning data are processed into the data that can be identified by Pro/ENGINEER, which are saved in the data base in this paper; through data mining, approximation simulation of ball filling is done to corn granule with cavity in the working environment of Pro/ENGINEER, which offers real, accurate and workable data for analysis and calculation of discrete element software behind the service.
By using the rotary table, six times of scanning for the corn seed are finished, at last the data of six times of scanning are combined to form the complete scanning data of the corn seed, which is shown in Figure 3.
Fig.3 Combination and Completion of Corn Seed Scanning Data Processing of the Corn Seed Data (1) Import the scanning document of the above corn seed into Geomagic Studio software
Use (reducing noise) command for automatic noise reduction, the level of noise reduction can be chosen according to the practical situation and generally default setting is used
Fig. 4 Geomagic Data Processing Process of the Corn Seed Corn Granule Auto-Filling Modeling Algorithm Ball is used to represent for the particle in the most of 3D DEM models because the contact, detection and calculation of balls are more convenient than those of other shapes.

Then propose testing method of the market pull and the coefficients assessing diffusion rates, and use historical data of twenty countries to conduct empirical studies.
The study makes the theoretical hypotheses according to distinguish features of PV industry and technical innovation theory, and builds the testing model and indicators of PV market pull mechanism, and uses the historical data of twenty countries to test hypotheses, so as to find the principles based on evidences for policy designing.
Data for Statistical modeling Schmookler [7], Scherer [10] and Xuxia [11] used the purchase volume or sales revenue of products to represent changing market demand scale in the empirical study.
The study collects patent and installation data of twenty countries from various organizations and literatures.
The volume of patent granted in the USA and in Japan is from CambridgeIP database, and the data of other countries is from the database of EPO.

Preliminary comparative tests show a significant reduction of tool wear when machining 4140 steel in minimum quantity lubrication.
Their relationship and how data compared with published information follow.
Each data block is 10x5mm, 300 kPa nozzle pressure, 128 m/s nozzle speed, max: more than 35 m/s. 5mm Fig. 5: Droplet density and flow profile by particle image velocimetry. 480 kPa input pressure, 8 strokes/min.
After 75 consecutive passes, the flank wears and wear fraction for tools machining in air, flood, and MQL are 0.167 mm, 0.094 mm (43% reduction), and 0.055 mm (67% reduction).
Although not quantifying, significant reduction in crater wear and nose wear are seen for tool machining in MQL (Fig. 6).

In particular, there are no data on the influence of a modifier based on ultrafine powders of refractory metal oxides on the mechanism of structural phase change and mechanical properties of wear-resistant cast iron.
The data analysis have shown that the microstructure of unmodified and modified cast irons in longitudinal (Fig. 1, a, b) and transverse (Fig. 1, c, d) directions demonstrates the anisotropy of carbide phase associated with the dendrite growth orientation.
The obtained data show that the corrosion resistance of the modified sample is higher by a factor of 2–3 in comparison with an unmodified sample.
It has to be noted, that experimental error of the obtained data doesn't exceed 0,1%.
The size reduction of (Cr,Fe)7C3 carbide phase is accompanied by the increase of its total amount per volume unit, which ensures the growth of matrix microhardness.

The stiffness reduction is caused by two phenomena.
But partially it could be highlighted by the data measured in Norway, which was published in [5]: Table 3: Determination of microfibril angle by small-angle X-ray scattering.
Fig. 6: Elastic modulus determined by nanoindentation.Using the data measured in Norway, they are presented in Table 3 and Fig. 6, the proposed formula of coeffred was validated.
It is seen, that presented formula matches the Norwegian data pretty well.
The reduction formula was derived introducing some assumptions.

Because best estimators are needed in uncertainty evaluation[3], Kolmogorov and Grubbs criterion, at 0.95 confidence level, are used in the data analyze[4].
It’s obviously that tensile stress, both yield stress and broken stress, of specimens which under torsional pre-strain becomes greater, than those ones which are not in torsion or the twisting angle equals to zero, as while as percent elongation and percent reduction area become smaller.
(3) related standard uncertainty from data acquisition[7] Type B related uncertainty of a valid data acquisition computer is given.
Conclusion (1) Tensile stress, both yield stress and broken stress, of specimens which under torsional pre-strain becomes greater, than those ones which are not in torsion or the twisting angle equals to zero, as while as percent elongation and percent reduction area become smaller
JJF1103-2003, Evaluation for Computerized Data Acquisition Systems of Universal Testing Machines[S], Beijing: China Metrology publishing House, 2003,9.

Secondly, the two wafers demonstrate different reduction time constants.
The time constant is determined via an exponential decay fit to the data.
An exponential relation of C(t) = Co[1-exp(-t/τ)] is used to fit the data.
The solid lines are model fitting [11] to the experimental data.
The area shaded in grey represents the amount of Fe gettered by the GB during the annealing process occurred in between the red and green data.

It was observed that 75% from the study data for this profile have had speeds between 1.8 and 2.1m/min, with direct impact to increasing the efficiency of the continuous casting installation.
Curves of variation for minimum and maximum were obtained by processing data in Excel, without presenting the correlation equation.
The data regarding the secondary cooling conditions are given, synthetically, in the table 3.
Data regarding the secondary cooling No.
An important role has the implemented programs for the automation of the installation, which lead to reduction of fault occurring and steel releasing increase.

Based on the recent measured noise data of 220 kV, 500 kV and 750 kV substations, the noise source characteristics of transformer and the attenuation laws in noise transmission are analyzed.
However, transformer noise reduction measures can make manufacturing cost rising sharply along with the increase of the noise reduction effects.
For example, setting the spring or pad vibration reduction in the bottom of transformer can reduce vibration and make noise decreased.
The noise reduction effects is around 20～30dB(A) and can achieve environmental protection limits.
The measured data shows that the BOX-IN structure has a better noise reduction effect than the tradition acoustical enclosure[3].