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Upon the last reduction, the material is either air-cooled or quenched and then cooled down to room temperature.
The rate of the cooling to the room temperature was derived from data obtained by means of the CCT - Offline software by SMS company [1].
The experiment was divided into three testing areas with different numbers of reductions, different strain rates and forming temperatures.
Strain conditions (Regime 1) pertinent to the Type_1 dimension type for the range of temperatures of the specimen prior to the second reduction of 940 - 760°C (in 30°C) with free cooling upon final reduction.
Strain conditions (Regime 2) pertinent to the Type_1 dimension type as well, for the range of temperatures of the specimen prior to the second reduction of 940 - 760°C (in 30°C) where cooling down to 750°C follows the final reduction.

Sintering AlN/BN Nanocomposite Reduction AlN boric acid urea carbon AlN boric acid urea AlN boric acid urea carbon AlN h-BN AlN h-BN Fig. 2.
It is thought that oxygen was produced by the oxidation of AlN during reduction of boric acid.
The starting powder before reduction exhibited the peaks of AlN, boric acid and urea, but after reduction the peaks of boric acid and urea disappeared with the appearance of the broad peak arising from t-BN as shown Fig. 4.
In this manner, AlN/BN nanocomposites were successfully fabricated through a chemical process, followed by reduction and hot-pressing.
The data of electrical conductivity and thermal conductivity are summarized in Table II.

The exhaust control methods include absorption, selective not catalytic reduction (SNCR) and selective catalytic reduction (SCR).
The data showed that the 3# catalytic material has the most active at low temperature and NO conversion rate can achieve about 97% at 423K.
[8] Liuqing Tian, Daiqi Ye, Catalytic Performance of a Novel Ceramic-Supported Vanadium Oxide Catalyst for NO Reduction with NH3, J.
Smirniotis, TiO2-supported metal oxide catalysts for low-temperature selective catalytic reduction of NO with NH3, J.
[11] Xiaolong Tang, Jiming Hao, Wenguo Xu, Novel MnOx catalyst for low temperature selective catalytic reduction of NOx with NH3, J.

It is supposed that temperature reduction of lining takes place when its temperature is highest, in the time, that is (t－τ), its temperature reduction is , its elastic modulus is , its shear modulus is , the equation of elastic modulus varying of lining in arbitrary ages is shown by Eq.1 [4]
On condition of temperature reduction, is negative and is tensile force.
The time of which is temperature difference of the maximum temperature of lining reduction to atmospheric temperature is divided into stages.
The data in Tab.1 were obtained in site by testing.
Temperature reduction occurred in the second day from pouring; the form of concrete is dismounted in the 5-th day from pouring.

In this paper, according to the equal principle of liquid flow [2, 3], we design a multifunctional measuring device -- differential system model, which can measure arbitrary curve tangent slope, also can undertake derived function curve, data point curve fitting (empirical formula), etc.
On, continuous continuation, make its become monotonous reduction function.
If is completely increase trend curve, namely, on increases monotonously, , become monotonous reduction function, according to the model of operation process,  complete the experiment according to the operation process, get a curve in , it is of the derived function curve .
If has both increased trend curve segment and decrease trend curve segments, namely, on is not monotonic function, you need to put into monotonous reduction function, then curve drawing, finally determine the derivative curve.on monotonous reduction in increases monotonously, , become on the continuous monotonous reduction function, complete the measurement test, get a curve c, the corresponding functional to , then draw the guide function of curve for. onmonotonous increases in reduction monotonously, in monotonous increases, ,, become on the continuous monotonous reduction function, complete the measurement test, get a curve , The corresponding functional ,, ,then draw the guide function of curve for,,.

Experimental data were used to estimate the diffusion coefficient.
Works reported in the literature also showed a reduction in the effective drying time when a tempering period was used [17,18].
The theoretical solution was fitted to the experimental data set for a suitable choice of diffusion coefficient in each continuous drying period.
The data of the dimensionlessaverage moisture contents are joined along the straight line, which shows the suitability of the model to describe the rice drying behavior.
The comparison between the experimental and predicted data confirms the validity of the model and the GBI method to obtain solution of the diffusion equation.

Jiang Jinhe (2011) proposed carbon emission measuring methods of different levels according to different energy consumption characteristics and available statistical data of the national, regional, industry.
The top-down way is more suitable for the level of country or region, while for the industrial park, the fuel consumption data are difficult to statistics; so many scholars adopted the bottom-up approach.
This paper using Hierarchical cluster process to analyze the carbon emissions condition of 36 parks,.In the case of complete data, clustering results can reflect the relative position and gap of 36 parks in carbon reduction, so as to specify the direction of further carbon emissions reduction of the industrial parks.
But there lack the data of carbon emissions intensity of buildings, traffic carbon emissions intensity and carbon sink, at present there are no relevant statistical data on this aspect, or it is not complete.
It is imperative to construct the system of building carbon reduction, traffic carbon reduction and carbon sink.

In order to obtain the aims of weight reduction, efficiency increase and quality assurance of thin-walled parts of aircraft engine, the titanium alloy thin-walled parts are machined by precision machining method in the experiment.
The data of surface roughness is chosen as constraint conditions, and machining parameters will be optimized.
The data of surface roughness is collected under different cutting condition for various combination of cutting speed, feed rate and cutting depth.
The data obtained from the experiment is collected and processed, using Eq. (1) to get the theoretical predictive model.

In absence of sufficient data, the biaxial yield stress was assumed as an equivalent von Mises yield criterion.
Thus, the true strain φ = 0 contains several data points which vividly illustrate the described effect.
Fig. 5: Experimental data and approximation of the strain-dependent Young’s moduli E(ε) during release Fig. 5 includes all the measured data points for the five tested ultra-high strength spring strips.
As clearly illustrated, a limited data base is available for the extrapolation of the curves.
Only material M1, which reached a true stain φ = 6%, offered a broader data base.

Also data base of the material must be prepared and must be integrated with the knowledge based system so that these can interactively run.
The study aims to develop this knowledge based system using Artificial Intelligence Technologies and data based management system together.
Material Data Base: An important module of developed system is material database.
However, each of these studies was prepared for the different aims while they used the same data.
• The documentation errors by the manual process can be minimized because of the improved data integrity