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The temperature-time data were recorded using a high-speed data acquisition system (EPAD-TH8-K) linked to a computer with DEWESoft 7.5 at a dynamic rate of 100 Hz/ch, as shown in Fig. 1.
FlexPro8.0.31 data analysis software was used for smoothing the curves and plotting the cooling curve and first derivative curve for extracting characteristic data.
The result also corresponds to best refinement morphology observed in Fig. 3. 0.8 wt.% Sb has resulted in biggest average size reduction from 179.4 to 134.65 µm, about 44 µm reduced, similar to aspect ratio which also decreased from 1.2 to 0.7 by 9% and produced high density particles distribution, about 29 particles per unit area in mm2.

In particular, delaminations can be strongly influenced by the fatigue induced material degradation which can trigger delamination growth phenomena at a relatively low number of cycles gradually leading to the increase of the damaged zone and to the reduction of the overall structural stiffness [7].
Table I: Geometrical and material panel’s data Geometry AB [mm] t [mm] t1 [mm] r1 [mm] r2 [mm] r3 [mm] 50 3.37 0.28 2.5 10 20 Material E1=E2 [GPa] E3 [GPa] G12 [GPa] G23=G13 [GPa] ν12= ν13= ν23 GIc [J/m2] GIIc [J/m2] 42.5 14.5 17.4 0.85 0.22 103 456 The numerical results, in terms of delamination growth as a function of the fatigue cycles have been found in excellent agreement with the experimental data taken from [8], as shown in Figure 2.
Figure 2: Delamination growth comparison between numerical and experimental [2] data In Figure 3 the deformed shapes with uz contour plots at delamination buckling at fatigue cycle n° 1 and n° 287039 are shown.
Numerical results, in terms of delaminated area as a function of the number of cycles, have been found in excellent agreement with the literature experimental data, proving the effectiveness of the method.

In connection with this, the given problem is solved optimally, taking into account the available data and the experience gained.
The process parameters, physicochemical properties and composition of the reservoir oil from the oil preprocessing installation of Eastern Siberia oil field are used as the initial data.
The first stream is supplied to the three-phase separator TPS, where due to further reduction of pressure the remaining gas is released and formation water is separated.
An optimal installation’s operation mode (option five) was determined on the basis of the data obtained in which water separation is most effective.
Comparison of devices, with the given technological conditions Apparatus Consumption = 600142.86 [kg/hour] Input watercut (W) = 20.93 [%] G = 500119.05 [Kg/h] 1 2 3 4 5 6 7 Input S-1 T = 2 [°C] T = 2 [°C] T = 2 [°C] T = 2 [°C] T = 2 [°C] T = 2 [°C] T = 2 [°C] TPS T = 15 [°C] T = 15 [°C] T = 15 [°C] T = 25 [°C] T = 25 [°C] T = 25 [°C] T = 15 [°C] EDH T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] HT (I) T = 39 [°C] T = 45 [°C] T = 39 [°C] T = 39 [°C] T = 45 [°C] T = 45 [°C] T = 45 [°C] HT (II) T = 45 [°C] T = 45 [°C] T = 45 [°C] T = 45 [°C] T = 45 [°C] T = 45 [°C] T = 45 [°C] VST T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] T = 30 [°C] Conclusions The installation’s operation mode was recommended based on the obtained data, in which the residual water is the lowest.

The mineralogical features of agglomerate and pellets before and after reduction are investigated.
The data were recorded in an angle range of 5°-90°, with the step of 0.021° to 2θ and exposure at the point of no less than 2963 s.
The phase composition and crystalline structure of the sample were determined from X-ray diffraction data using the DIFFRACplus software package, EVA and the International Diffraction Data Centre (ICDD) PDF4 database.
Empirical coefficients in the equations to calculate the temperature coefficients A and C were selected in such a way as to be as accurate as possible to approach the experimental data obtained for industrial and semi-synthetic slag melts, as well as to correspond to the standard description of melt viscosity measurements for different temperatures.
Calculated Analysis of Technical and Economic Parameters of Blast Furnace Melting of Titanomagnetite Sinter and Pellets: Coke Consumption and Productivity, Chemical Composition of Cast Iron and Slag, Quality of Iron Ore Raw Materials For the calculation analysis, the balance logic-statistical model of the blast furnace process was utilised based on the use of material and thermal balances; this was supplemented with calculations of heat and mass exchange, block of gas distribution irregularity accounting along the earhole radius, and statistical data on the influence of various factors on the blast furnace performance.

Integrated data model.
Based on this information, the product data model can be generated.
The data add to the product model and provide a comprehensive data storage.
The investigation then establishes the best alternatives for data exchange.
With this data, e.g. a simulation of the material flow is possible.

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.

Electrical conductivity data obtained by impedance spectroscopy could account for the observed improved densification.
The reduction of the operation temperature of a Solid Oxide Fuel Cell (SOFC) by using a solid electrolyte with higher electrical conductivity than that of yttria-stabilized zirconia has been one of the main research goals, because it would reduce the overall cost of this type of device [2].

From the test data, fracture properties in particular the equivalent fracture strain (εqf) can be determined and the elastic-plastic fracture toughness of a material can be characterised.
In transition between the second and third region, cracking of the test material is initiated, followed by substantial thickness reduction and necking of the material, leading to a fracture at the peak of the SPT curve.

The alignment of these films on glass substrates are inferred from the contact angle data and the results are compared with those of the (self) alignment in liquid state.
These molecules have been widely used in electron-transfer studies because they undergo reversible one-electron reduction at modest potentials to form stable redical anions.

At last, the contrast of prediction and experimental data indicated that the proposed model had enough accuracy to predict fatigue life of block loading for composite materials.
A linear reduction in residual strength was proposed as follow: (2) where is residual strength after n cyclic loading, is ultimate strength, is the applied maximum stress of structure, is fatigue life under stress.