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There is little datum related to microstructure and properties of Mg alloys squeeze-casted with pressure over 200 MPa.
The results show that a remarkable microstructure refinement and porosity reduction can be reached through solidification under high pressure.
The results indicate that the density of ZW61 alloy increases with the increase of pressure, accompanied by a reduction of porosity.

So, when we measure data processing, whether the mathematical model can truly reflect the impact on part thermal expansion by shape parameters is essential to the accuracy of data processing.
After deformation they are: Sample 4 length data every 10℃ in the temperature [0,30] ℃ to get data modeling, calculated as =[1.9937,1.9941].
Suppose: , --5 length data，--5 simulated length data.
Raise temperature from 0℃ to 60℃, get 5 measurement for L every 5℃, simulate 5 measured data(Table 3), establish grey model.
The conclusions are as follows: (1)Select the cylindrical sample, when the length is 50mm and the diameter is 135mm, the length is increases with the rises of the temperature, which obviously presents exponentially trend, while the simulation data floating up and down with the temperature changes, which closes to the sine wave and the contract to the measurement data is larger so that affects the accuracy of data processing for GM(1,2) which makes the error |W1| larger

Several models were tested, and the correlation between experimental data and theoretical results was evaluated.
AlSi7 Foam 6 5 4 3 2 1 0 5 10 15 20 25 30 35 40 45 50 500 700 900 1100 1300 1500 Density (Kg/m3) Thermal Conductivity (W/m K) Experimental Data Dulne'v's model Misnar's model a=0.8 b=0.2 Constitutive model Figure 5 - Comparison between thermal conductivity results and theoretical predictions.
Values vary between 10 W/m K and 50 W/m K, which implies a reduction in a factor of 3 to 15 respect to thermal conductivity of solid alloy (λAlSi7 = 151 W/m K, measured using the same technique).

Despite the many advantages of this type of facades there are still some shortcomings, therefore the obtained data indicates that it is necessary to further research systems of ventilated glass facades and to work on elimination of the revealed shortcomings Introduction The ventilated glass facades are a qualitatively new approach to arrangement of facades of buildings.
It should be noted that the obtained data indicate the need of further research of systems of ventilated glass facades and elimination of the revealed shortcomings.
Passive use of solar energy in double skin facades for reduction of cooling loads (2012) World Renewable Energy Forum, WREF 2012, Including World Renewable Energy Congress XII and Colorado Renewable Energy Society (CRES) Annual Conference 6. pp. 4181-4186

The effect of controlling the pH of the methanogonic phase of traditional Chinese pharmaceutical industry wastewater digestion on the biogas production rate and pollution potential reduction was also investigated.
In working period, inflow volumetric loading is raised to test the devices’ capability of withstanding shock loading. 2#COD outflow 1#COD inflow Fig.2 Curves for COD in different phases 1#COD outflow 4.2Analyses of experiment results and data According to test data, a curve indicating COD removal in each phase of system can be drawn, as is shown in Fig.3.

Then, the statistical method of correlation and regression analysis is presented to model the relationship of temperature and equivalent circuit model parameters based on experimental data.
RF is Faraday resistance, which represents the dependence of the reciprocal of the oxidation and reduction charge’s transfer rate on the electric potential; CF represents pesuodocapacitor [9].
The test excitation signal is 1C charging rate pseudo-random sequence current signal, and the data is recorded synchronously by PXI data acquisition card.
The task of regression analysis is to estimate the unknown regression coefficients using the known sample data, so as to establish the final regression model.
Apparently, the linear model’s regression equation passes the test; the quadratic model doesn’t pass the test; it is still not suitable using cubic model for this sample data.

Hash function and data structure are both the bottleneck technology.
At present, it is very hard to design a new revolutionary data structure.
The test data herein is from the Internet, and contains more than 7,400 thousands 5-tuple.
To resolve the conflict, in addition to a function with good uniformity, but also depends on the data structure.
However, for connection management in high-speed networks, the multiple slots data structure is an excellent choice.

Data necessary for identification were collected basing on measurements of free vibrations of a three-layered cantilever beam at a special laboratory stand.
It was shown that the vibration reduction capabilities of MR adaptive structures are significant.
Essential data for performing the identification were data basing on the measurements of displacement of the beam free end.
Obtained data and assumed model of the beam were used in the identification of MR fluid (type 122-2ED) complex shear modulus.
Węgrzynowski: FEM analysis of a cantilever sandwich beam with MR fluid based on ANSYS, Diffusion and Defect Data – Solid State Data.

Samples were rolled at the laboratory rolling mill between plates of stainless steel up to the deformation of εmax= 80% with ~5% reductions per pass.
The treatment of texture data included construction of diagrams [PF(0001)recr - PF(0001)roll], where difference between pole densities for recrystallization and rolling textures are calculated at each point (ψ, φ), so that regions of maximal texture changes are seen.
Discussion First of all, obtained experimental results contain much new data, concerning the role of deformation twinning in recrystallization processes in α-Zr.

Experimental data of skim milk drying was used to validate the simulator.
Linear variation of Tgi and its influence on Xo Based on data shown in Fig 2., an exponential regression model was obtained with a coefficient of determination, R2, equal to 0.9963.
Therefore, the moisture will not evaporate fully because of reduction in drying time, increasing then, Xo, Yo and RHo.