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Based on the measured data, the change of mechanical properties of cold-worked alloy AMg6 during the process of short duration heating was evaluated.
Based on the received measurement data the level of strength properties of the cold-worked AMg6 alloy articles during the process of long after deformation holds was predicted (Fig. 2).
Comparison of the results of the prediction of the yield strength with long-term exposure for products with a yield point of 294.3 MPa () and for a product with a yield strength of 304.1 MPa () with experimental data Analyzing obtained results it is possible to evaluate the influence of temperature and heating period on the intensity of strength properties level decrease of cold-worked alloy АМg6.
At 300°С hardening effect reduction (in resistance in rupture) by 50% is observed after 10 minute heating up.
One hour heating at 200°С leads to 50-% reduction of effect in yield point.

They are generating capacity(C11), utilization rate of generating set(C12), carbon emission reductions(C22), tax contribution(C23), emission reduction technology(C32), clean energy growth(C41), demand for enterprise development(C42), profit growth(C43).
They are proportion of small units(C13), Carbon intensity of energy units(C21), Cost of emission reduction(C31).  
Results and Discussion According to relevant data of Jiangsu province,we construct a region which includes four power enterprise e1, e2, e3, e4, and this region’s carbon emission rights of 2015 will be distributed to these four enterprise.
According these principle of data collection, Data sources are derived from the statistical yearbook.
The results is shown in Table 2, and plan 1 is obtain by using this paper’s model.The plan 2 is calculated by using data of power enterprise’s generating capacity, and plan 3 is computed by using data of installed capacity.

The new designs have evident circuit size reduction compared with relative reports.
Introduction Wideband technology has great potential in the development of various modern transmission systems, for instance, satellite and high data-rate wireless communication systems.
The first designed filter has a size reduction of about 90.2% compared with reference [7], and a size reduction of about 11.2% compared with reference [5].
While, the second proposed filter has a size reduction of about 38.3% compared with reference [1], and a size reduction of about 96.5% compared with reference [7].
Simultaneously, it has a size reduction of about 38.3% and about 96.5% compared with reference [1], and [7], respectively.

The procedure to generate this data is shown in fig 3.
Fig. 3: Process planning procedure to generate a springback compensated NC-data.
Input data are the geometry of the cross section and the bending geometry in a 3D CAD-format and the material data given by a flow curve and important values like the Young’s modulus.
Using this data, the bending geometry is redesigned generating a compensated 3D part.
It is the first bending trial without further process optimization and the material data was taken from a tensile test using the material of the profile.

Outcomes of a recently proposed analytical model are compared with extensive experimental data and model uncertainty is quantified.
It appears that the model is in a good agreement with experimental data and provides reasonably conservative estimates of load carrying capacity.
In the absence of statistical data these indications are accepted for cast-iron columns.
For low slenderness ratios, λ < 25, Approach 1 numerically fails as the reduction factor exceeds unity.
Taking into account the limited amount of data, the following recommendations are provided on the basis of the results given in Table 2: -  Model uncertainty characteristics µθ ≈ 1.2 and Vθ ≈ 0.15 should be considered when compressive strength is decisive in Equation (2), -  µθ ≈ 1.25 and Vθ ≈ 0.15 should be considered when tensile strength is governing resistance of a cast-iron column.

In order to facilitate the assessment of optimal mufflers having multiple sound-absorbing splitters, an approximated simplified objective function (OBJ) is established in advance by linking the boundary element model (BEM) with a polynomial neural network fitted with a series of real data, input design data (muffler dimensions) and output data obtained by BEM simulation.
To obtain the NNM by using the theoretical data of the BEM as the input data (the silencer’s design parameters) and the output data (STL) in the proposed NNM, a trained NNM can be achieved using the training data bank and polynomial calculation with the PSE standard (deviation of mean square).
As indicated in Fig. 3, the data bank is used to construct a polynomial neural network and can be divided into two parts ― the training data and the testing data.
Consequently, the predicted STL can be obtained by inputting arbitrary design data.
Therefore, the BEM data is applied as an exact solution.

Validation of Probabilistic Fracture Models in Mullite Based Ceramics Using Experimental Data J.
The scattering of data requires a statistical analysis.
It is very suitable by its simple mathematical form and by its adaptability to experimental data.
Table 2.: Statistical data of the differents series using the size effect model.
This reduction is more evident in gaps with intermediate values, whereas in extremes values there is only a little reduction.

Hence, reduction in tool wear is essential for less expenditure with the knowledge of optimum cutting conditions of MQL.
Results showed that MQL with palm oil exhibits best cooling efficiency at 5 bar pressure and nozzle angle of 20o with reduction of 35% in tool wear and 23% in cutting temperature at higher cutting speeds.
Usage of vegetable oils [4] is then being brought out into attention of the researchers, which results in reduction of health hazard factor [5].
The ranges of cutting speeds were chosen based on the data given by cutting tool manufacturer.
Impact of change in MQL pressure is more noticeable at higher cutting speeds, especially at 150 m/min with approximately reduction of 10% in cutting temperature using 5 bar if compared to that of 1 bar.

Data Used and Experimental Process Data used.
All these data were observed during years 2012 to 2013.
Data collection. 2.
Format of Cartesian coordinate system with weather radar data. 3.
The use of the weather radar observation data and rainfall observation data from TMD are thankfully acknowledged.

The oxidation peaks (DEpa, DIpa) and the reduction peak (DEpc, DIpc) as showed in Figure 2.
Oxidation and reduction peaks can be seen in the potential of 0.92 V and -0.11 V.
O and R are responding to oxidation peak and reduction peak appear.
(a) Whole curve of oxidation and reduction process where O1, O2, O3 and R1 are responding to First oxidation, second oxidation, third oxidation and first reduction (a) First and second oxidation peaks, (c) First reduction, R1 peak appear in this reaction.
Allred, Electronegativity values from thermochemical data, Journal of inorganic and nuclear chemistry, 17 (1961) 215-221