Search results

Further heat treatment carried out under argon atmosphere at 900°C for 8 hours resulted in completion of Cr2O3 reduction by Al.
Analysis of the diffraction rings enabled to establish the phases present as Cu, Al2O3 and Cr, which is also comparable with the results obtained from the XRD data analysis.
In fact, oxidation and reduction reactions occur at the interfaces during heat treatment and nanosized Cr particulates surrounded by Al2O3 are formed in Cu matrix.
It was found that during the milling process, Cu(Al) solid solution and Cu9Al4 phase were formed as the intermediate products and reduction of Cr2O3 with Al was completed during heat treatment.

For Mg-(7-11)Zn-4Al alloys with the Zn content increase, improved creep resistance is obtained due to block τ-Mg32(Al, Zn)49 phase, with severe reduction in ultimate strength and ductility, and the best creep property is obtained with 11wt.% Zn concentration.
However there is a lack of consensus data concerning the microstructure of such alloys and more information about the relationship among element concentration, microstructure and properties.
It can be seen from the table that the Mg-(7-11) Zn-4Al alloys show severe reduction in ultimate strength and ductility, and slightly increasing yield strength with the Zn content increase.
For Mg-(7-11)Zn-4Al alloys with the Zn content increase, improved creep resistance is obtained due to block τ-Mg32(Al, Zn)49 phase, with severe reduction in ultimate strength and ductility, and the best creep property is obtained with 11wt.% Zn concentration.

We have applied our proposal to text data mining in bioinformatics.
This technique is generally referred to as text data mining.
Due to the sheer size of extracted data, however, it is impossible to check for every individual piece of data.
In this new visualization paradigm, we implemented the method to take the union of the data from the previous time-stamped data, to filter less-frequent data and to emphasize high occurrence data.
We utilized the 3 rd dimension to display colorbanded rods for abstracting unstructured source data; and to display different time-stamped data for visualizing the history-line of the discovery process.

Some tension specimens contained strain gauged rebars to obtain very detailed data concerning reinforcement strain distributions.
How rapidly this reduction occurs has not been studied.
A collaboration between Leeds and Durham Universities seemed a good way of generating the best possible range of experimental data.
The very fine wires from the gauges (three per gauge, each 0.2mm diameter) were connected to wiring harnesses which led to the data logging instrumentation.
The detailed nature of the Durham data, indicated in Fig. 3, showed how strains peaked at the crack positions and then declined between cracks due to the tension stiffening effects.

Misorientation analysis, using EBSD data sets, has enabled us to constrain better recrystallization mechanisms in rocks and minerals.
Such data enable us to quantify the conditions in the upper part of the Earth. 2.
Such data are essential to dynamic models of the Earth.
Dispersion of EBSD data, by rotation around rational crystallographic directions, reflects deformation by dislocation creep and recovery.
EBSD data from a quartz mylonite from the Stack of Glencoul.

Table 2: Material data for FE-modelling [6, among others].
Although the most of these material data (Table 2) are available in the scientific literature, some of them are difficult to define with reference to the investigated hard thin films.
On the basis of these material data the ratio between σtrs and σy for TiN is 0.24.
The only obtainable dynamic friction data refer to the contact between these thin films and steel (µsteel-PVD) [10, among others].
In literature many data regarding the dynamic friction coefficient of HSS against steel itself (µsteel-HSS) are available [11, among others].

This paper take Tianjin for research object, use carbon pinch method, establish the analysis model by the base data of regional energy supply and demand and carbon emission.
Analysis and Discussion The basic data of energy demand and supply of Tianjin as show in Table 1, the left column of the table are carbon emission factors and the supply of coal, oil, gas, clean energy.
Link the data of emission factors from small to large in Table 1 respectively, draw energy supply and demand curves shown in Figure1: Table 1.
The Basic Data of Energy Supply and Demand in Tianjin Energy Resource Emission Factor (tCO2/TJ) Available Resource （1013KJ） Energy Demand Expected Consumption （1013KJ） Emission Limit (105t) coal oil nature gas others Total 105 75 55 0 75 134 7.2 >6.8 >223 Region 1 Region 2 Region 3 Total 37 76 110 223 92.5 405 1073 1570.5 Table 2.
In addition, in initial data, the total emission of three regions is 1570.5×105tCO2, and now it is 1409.8×105tCO2, reduced emission by planning, but costs have increased.

The medians of the three indexes presented that an impact sound level of data more than 210 mm was lower by 4.6 dB to 7 dB than that of data less than 210 mm.
Statistical analysis of measurement data.
Analysis results of data whose slab thickness is less than 210 mm.
It is analysis result of slab thickness 210 mm data.
The analysis results of data whose slab thickness was 210 mm or thicker showed a similar pattern with that of data that had less than 210 mm slab thickness.

Positive analysis In order to study the impact of commercial residential housing’s sales amount on the indemnificatory housing’s sales amount in Liaoning, first we do some co-integration tests on the historical data, and then conduct the error correction.
To make the data more smoothly, two sets of data were collected on logarithmic, using the Eviews6.0 software, test results in Table 1.
However when the real estate market return to rationality, the reduction of commercial residential housing supply will push up the housing prices again.
In the case of reduction of land supply, the supply of commercial residential housing will be reduced along with it.
There are some defects whether in statistical data or in the construction of indemnificatory housing, however, after expediting the construction of indemnificatory housing, complete and accurate data can be obtained for research.

In 2007, Yiqing Lou[1] simulated transient seepage field in the slope vivo which caused by rainfall infiltration and analyzed stability of the slope that is under the condition of rain by the promotion of finite element strength reduction rainfall ,as an example of a slope.
In 2009,Bo Xiao, Zhikui Liu[3] describes that the strength reduction theory has got some progress in the analysis of slope stability, include the latest theory of strength reduction, the influencing factors of safety factor calculation accuracy and, correspondingly, the method of improving calculation accuracy, the basis of slope failure, so that the calculation accuracy has been improved greatly.
In 2012, Mengke Liao, Jiangwen Chen, Yang Cui, JianjunCheng[4] analyzes the factors of conglomerate Slope Stability by the strength reduction theory.
Calculation Conditions According to the test data provided by the parameters ,take parameters are shown in Table 1.
Calculation Results Record data and analysis the graphics, the result is shown in Ttable 3,Table 4 , Fig. 2 and Fig.3: Table 3Displacement and Stress of Section in Different Conditions data condition The vertical displacement (mm) Horizontal displacement (mm) The first principal stress (MPa) The three principal stress (MPa) Upward downward to the left to the right pressure stress tensile stress pressure stress tensile stress 1 Natural \ \ \ \ 3.51 1.53 18.55 1.21 2 Storm 0 21.08 15.63 0.14 3.51 1.52 18.58 1.2 3 Design earthquake (Max) 5.90 16199 19994 0 3.44 1.58 18.40 1.13 Table 4 TheLocations Distribution of the Displacementand Stress of the Profile under Different Conditions Position Distribution Working Condition The vertical displacement (mm) Horizontal displacement (mm) The first principal stress (MPa) The three principal stress (MPa) Upward downward to the left to the right pressure stress tensile stress pressure stress tensile stress natural \ \ \ \ the bottom