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The following is the temperature distribution of the ceiling plane: By the above data can see that the average temperature of the ceiling plane is higher 2-3 ℃ than when no ceiling, which leads to the reduction in radiation heat transfer temperature difference, and from the aforementioned radiation heat formula can know, this will bring the attenuation of the heat exchange.
The roof heat flux By the above data it can be seen that the additional ceiling cases the decay of the roof heat flux, but the decay rate is different.

Data for FSF tools[13].
Data for dies[13].
The authors believe that the material volume of the retreating side in the stir zone may be consumed to backfill the absence of the tool generated by the tool traveling, and it may result in the reduction of the compression force or the restriction of the material volume filing into the cavity of the die at the advancing side.

The data of experiments are designed based on full factorial method and the surfaces are best polynomial which can fit the variables and objectives.
The data of experiments are designed by full-factorial method.
Firstly for calculating, the theoretical model was applied to achieve FLD of bi-layer for various condition of designed as data of experiment.
The response surface can be initialized by using data from the above mentioned table 1.
In this study, Data validation is checked via Matlab software and curve fitting toolbox specific.

Coal Output Prediction and Policy Implications of China’s Future Energy Supply Kejia Yang1, a, Jianping Ge1, b, Yalin Lei1, c 1 School of Humanities and Economic Management, China University of Geosciences (Beijing), Beijing, China aykj0411@gmail.com,bgejianping@cugb.edu.cn, cleiyalin@cugb.edu.cn Keywords: GM (1, 1) model, coal production prediction, carbon emission reduction Abstract.
The solution of the equation (6) is given by X(1)(k+1)=(x(0)(1)-b/a)e-ak+b/a(k=1,2,.,9) (7) Where x(0)(k+1)=x(1)(k+1)-x(1)(k)(k=1,2,…,9) (8) Data Raw coal output increased exponentially from 1990 to 2012 [1].
Hence, the data of raw coal output from 2002 to 2012 was used to predict future output of Chinese coal industry.

They show wide scatter of data.
It is believed that the heating data is more reliable to describe γ/ε-phase boundaries than cooling data.
Therefore, cooling data is more reliable than heating data for correct assessments of Ms temperatures in Co-X systems, where X = Al, C, Cr, Fe, Ge, Mn, Mo, Ni, Pt, Si, Sn, Ta, Ti, V and W.
Data indicates that the reaction kinetics is defined by grain boundary diffusion [35].
This value of energy has been obtained from interface displacement data in conjunction with Turnbull's model [36].

Its mechanism is different from the traditional air curtain and make common use with other treatment facilities, therefore Its effect is very obvious and it has features just as Energy saving and emission reduction.
Mathematical Model of Orbit Equation of Air Curtain Jet According to the experimental conditions, make the airflow direction in the channel as the x-axis, and the direction of cross-section upward of Channel as the y-axis, the left of the air curtain of exports as the origin, then cartesian coordinates has been set in order to make analysis of the force of air current. z1＝f（x）which is the first left curve has been chosen as the experiment data in order to as an air curtain air on the leeward side of the force analysis deputation ; and z2＝f（x）which is the first right curve has been chosen as air curtain air on the leeward side of the force analysis.
Through the last chapter, the data and formulas can be got directly.
Fig. 3 Schematic Diagram of Test Device of Convergence of Air Curtain Controlling Air Pollution 1－Tracer delivery point; 2－Adjustable fan; 3－Air curtain generator; 4－Controlled electric; 5－MR-4 Bolometer test points; 6－Apply adhesive mesh; 7－Scale stand which Can lift Screen settings Set by specifications, the heights of MR-4 Bolometer test points are 1m,1.75m and 2.5m; (Just as Parallel with the export of air curtain, higher than the export of air curtain 0.75m and1.5m), the Measuring horizontal position is that the distance From the center of the air curtain generator about 1.5m, three MR-4 Bolometer have been taken to survey and evaluate the data in the experiment.
Experimental Data Analysis From the experiment, some important data can be got, and comparing with interrelated data, then some consequence has been got.

The E3 is controlled by the CARESS software, an HZB in-house development, which drives the monochromator, slit and sample table motors and acquires the detector data.
In order to analyze a measurement the TVTueb [5] and StressTexCalculator [6] programs are available to read the stored raw CARESS data and fit the detected neutron intensities.
On the other hand, one makes sure, that the measurement results are good quality data.
Schneider, “TVtueb - Visualization and analysis of two and three dimensional diffraction data,” in BENSC Users Meeting , 2003“TVtueb - Visualization and analysis of two and three dimensional diffraction data,” in BENSC Users Meeting, Berlin: Hahn-Meitner-Institut , 2003 [6] C.
Weiss, The Open Inspire Architecture for Control, Data Reduction and Analysis, NOBUGS conference, ANSTO, Australia (2008) [8] R.

The stress data in the test are corrected for friction.
The stress and strain data can easily be derived from the measured data: . (3) . (4) . (5) The correction for friction is included in Eq. 5.
Hydraulic bulge test An early description of the hydraulic bulge test including a method for the evaluation of the measurement data is by Young et al. [5].
The evaluation of the data is based on strain measurements at the dome apex and membrane theory to relate the fluid pressure to stress values.
The equibiaxial stress at the dome apex follows from membrane theory: . (10) The advantages of this test are the extrapolation of hardening data to (very) high strain values and the simple specimen (no difficult preparation).

The algorithm is normally used for classifying a large number of data into groups that are specified previously [4].
Normally, the process in this algorithm involves data entering at the inputs and passing through the network, layer by layer, until it arrives to the outputs as shown in Fig. 2 [5,6].
The algorithm must fulfill these two criteria, which are: a) The network must be able to be trained using the input data and b) The network must also be able to generalize for the input data that is similar with the data that is included in the training set.
Radzerich, Technological methods for noise/vibration reduction in driveline/transmission of trucks and all-wheel – drive vehicles, International Journal of vehicle Noise and Vibration, 2 (4) (2006) 283-291 [3] Nor, M.
Dempsey Using Feedforward Neural Networks and Forward selection of Input Variables for an Ergonomics Data Classification Problem, Journal of Human Factors and Ergonomics in Manufacturing, 14(2) (2004) 31-49 [6] X.

To follow the reduction of product types and quantities of materials used in principle, the principle of material compatibility, so that the design of the products in the gas pollution and solid pollution, etc.
About the entire process of product life cycle for all types of information, expression, performance and operation of tools and formed integrated in one unified management system, mainly the product information model and product data management system
Product Data Management (Product Data Management, PDM) system is the key to Green Design technology, it will all product-related information and process integration in one.
Including various types of information: such as CAD/CAM/CAE files, bill of materials, product orders, product disposal, production costs, as well as related processes: such as manufacturing processes, process, technical guidelines, safety regulations, standards and methods, PDM System can effectively move products from concept design, calculation and analysis, structural design, process, manufacturing, sales, maintenance services until the product is the whole process of waste treatment and disposal after relevant data, be definition, organization and management, making the data consistent, sharing and innovation.
And can track , preservation and management of product design, manufacturing and technical support to large amounts of data required to control the handling and use of product information, optimize product development.