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Introduction Face-gear drives are widely used in the aviation power transmission because of the advantages of face-gear in torque split and reduction of weight and known as "The hope of rotorcraft transmission in 21st Century" [1].
Face-gear Lubrication characteristic analysis Based on the above analysis steps, EHL analysis can be carried out according to the gear data and lubricant properties in table 1.
Gear data and lubricant properties Face-gear torque,T 600N×M Pinion tooth number, N1 18 Shaper tooth number, Ns 20 Face-gear tooth number, N2 100 Module, m 2.5mm Pressure angle,a0 25° Face-gear angular velocity w 200rad/s Young’s modulus E1,2 206800Mpa Poisson's ratio g1,2 0.29 Viscosity pressure coefficient a 2.2×10-8pa-1 Initial viscosity h0 0.026838 pa×s Initial density r0 870 kg/m3 Calculatting load distribution and entrainment velocity in single-cycle, the results are shown in Figure 5: Fig. 5 Load percentage and entrainment velocity curve in Single-tooth meshing cycle of face-gear It can be seen from Figure 5, At the meshing entry point A which is at the tooth root，there are two pairs of teeth in action, with the face-gear running, the carrying capacity of one pair of teeth gradually increases, and two pairs contacting change into one pair contacting at the meshing mid-point B, one pair of teeth carrying capacity reaches its maximum, and later two pairs of teeth contacting, then
On this basis, the lubrication equations of face-gear were established according to EHL theory, film thickness and pressure in the process of face-gear drives were calculated by using multi-grid algorithm, the design datum mark of face-gear lubrication was got, which can provide a reference for designer.

Mechanical properties such as ultimate tensile strength, percentage of elongation, yield strength, Poisson’s ratio and percentage reduction in area were found out.
The data is often used to specify a material, to design parts to withstand application force and as a quality control check of materials.ASTM D 638 specimens are placed in the grips of the universal testing machine at a specified grip separation and pulled until failed at test speed of 50mm/min for measuring strength and elongation.

[9] grew SiC nanowires by carbothermal reduction of silica xerogels embedded with Fe nanoparticles, etc.
Based on the Chemical Thermodynamics data [13], under 1300 o C/0.1Mpa, the whole process in the system could be described by the follow reactions: ( ) ( ) ( )vCOvOsC 2 2 2 →+ ············································································· molJ G /500982−=∆ (1) ( ) ( ) ( )vSiOvOlSi 2 2 2 →+ ············································································· molJ G /473796−=∆ (2) ( ) ( ) ( ) ( )vSiOsSiCvCOlSi +→+2 ··································································· molJ G /50520−=∆ (3) ( ) ( ) ( ) ( )vCOsSiCvSiOsC +→+2 ··································································· molJ G /77709−=∆ (4) ( ) ( ) ( )sSiCsSisC →+ ···················································································· molJ G /63368−=∆ (5) According to the description above, the growth mechanism of SiC nanowire under microwave heating is similar to the VLS mechanism, but there is a basic difference between them, in the present

As per the data received, the inputs were incorporated and accordingly the results are interpreted.
A discussion was made about open and closed loop pressure control for leakage reduction of pipes [13].
Reynolds, Open and closed loop pressure control for leakage reduction, J.

Data Process of Material Management System Data Process.
Design of Data Bank of the System [3,5,6,7,8,9].
In an information system, data bank is often used to store and manage a tremendous amount of data.
Data bank system not only describes data itself but also depicts the correlations between them using structured models, and this system adopts relational data bank model.
Structural Design of Data Bank Concept.

The present fast measurement software possess the function of being input two kinds of data at the same time to compare with: a data from the CAD data, as the benchmark of comparison; another data from point cloud data, which can be obtained by different methods[1].
The equipment includes two parts: hand-held laser scanner and data processing software.
Fig. 2 Process of physical model digitization Comparison between Point Cloud Data and CAD Model.
But don't use reverse engineering software for data reduction and repairing operation such as hole filling and so on, so as not to change the alignment precision of digital model.
Due to geometrical shape of the tested model and optical shielding effect, the point cloud data of the tested model cannot be expressed completely, such as the holes or internal angle of parts, can cause the lack of point cloud data [3].

Some high-throughput tests combining nanoindentation tests with EPMA technology to test alloys have proven to be efficient, and a large number of compositions and performance data can be obtained just by testing a small number of materials [5, 8].
At the same time, some scholars use statistical methods such as principal component analysis [10, 11] to analyze the test data of the obtained materials, which has sped up the new material research.
Then the principal component analysis method and the alloy equivalent method are used to perform a dimensionality reduction analysis on the composition at different indentation respectively, integrating multiple composition data into specific parameters.
As shown in Table 4, the first two components contain 87.654% (>85%) of original data and corresponding eigenvalues 4.075 and 1.184 are greater than 1, indicating that the two components actually cover most information of these six elements content.
In summary, the data of composition and performance at multiple indentations can be used to establish some atlases through the method of principal component analysis, thus helping optimizing alloy composition to obtain higher or lower E and H values.

And by comparison of the numerical results with the monitoring data, it is verified that the calculation model and methods of analysis are rational.
For the model of the bored piles supporting method the region reinforced by piles can approximately be simulated by walls for simplification (The thickness of the walls is 0.5m), with the walls selecting the liner elastic constitutive model, whose elastic modulus can be calculated by a certain reduction on piles’ according to the principle of stiffness equivalent [10].
Analysis for Monitoring Data of Envelope Lateral Displacement.
This paper only contrasts monitoring data of lateral displacement of the envelope structure with its numerical simulation value.
Fig. 11 Comparison between Monitoring data and Numerical Simulation data According to Fig. 11, the agreement between the monitoring values and the numerical results of the lateral displacement at line 2 are relatively good, which illustrates that the calculation accuracy of the model can meet the requirements and the data analysis based on the numerical simulation is credible.

The experimental data indicate that the main parameter which determines the influence of mineral fillers on the flammability of composites is a specific heat absorbed by the filler.
Unfortunately, till present there are not enough data related to influence of chemical composition, amount of mineral fillers to flammability, smoke-forming ability and limiting oxygen index of polymer building materials.
As it follows from Fig. 2, most of experimental data, if plotted in 100/LOI and kqf coordinates, are near straight line.
Summary and conclusion Considerable amount of experimental data concerning properties related to fire hazard of disperse filled polymer composites based on different binders are obtained during our laboratory studies.
Conf. on Data Mining, Electronics and Information Technology DMEIT-2015. (2015). 139-146

With the lightning position data in recent years of Jiangsu, satellite and live data on 3rd,July,2012, the reasons for the damage to office room equipment beside a communication base station in Wujin District, Changzhou were analyzed, and reasonable suggestions were given.
As the lightning location system itself had certain error, generally, meteorological data and the accident location was consistent which meant the accident was caused by lightning strike.
Fig.1 Weather on 3rd,July 1.2.2 Lightning strike probability After analyzing the data of lightning location system in Jiangsu province, we got that annual average flash density was 3.4 number/km2a, the average amplitude of lightning current was 31.93kA, 1% of the lightning current amplitude was more than 97.40kA in the range of 5*5km around the communication tower from 2006 to 2011.
Summary Commined with the lightning data in Jiangsu recent years, take the communication base station in Wujin as an example, this paper analyzed the accident from weather, lightning strike probability, lightning protection effectiveness, potential and current situation of lightning protection, the results are followed.
Journal of disaster prevention and reduction,2011,27(4) ,pp.77-80