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The results of experimental studies in comparison with the calculated data showed that the deviation of the calculated data does not exceed 15%.
Calculation data of the power parameters of the CRE process at various units.
From which it can be seen that the deviation of the calculated data does not exceed 15%.
Comparison of the calculated and experimental data of the force parameters during the combined rolling-extruding of a rod with a diameter of 5 mm on the CRE-200 unit.
Force, kN ξ, s-1 Calculated data Experimental data Deviation, % P1 0.5 221 250 11 1.5 229 270 15 P2 0.5 122 121 1 1.5 126 149 15 Conclusion Thus, the conducted analytical and experimental studies made it possible to propose new technological modes of combined rolling-extruding for the production of rods from alloy 01417 with the aim of further drawing wire for electrical purposes.

The reduction of PO2 results in localized oxidation sites.
An in-house LabView data acquisition system collects these datas.
Table.2 Gas composition H2O O2 CnHm Argon (Alphagaz Ar) < 3 ppm < 2 ppm < 0,5 ppm Nitrogen (Alphagaz N2) < 3 ppm < 2 ppm < 0,5 ppm 1)Hüttinger induction facility - 25kW, 3 to 4 MHz frequency 2) Data acquisition system (National Instrument PXI-1002 - Soft Labview) 3) Gas pipe 4) Chamber with controlled atmosphere 5) Vacuum pump 6) SR1 Specimen 7) Water cooled direction through the TF specimen 8) Induction coil Fig. 4.

The data for the empirical investigation of the model were obtained through a field study.
Prior to data collection, the survey instrument was pre-tested for content validity in two stages.
As noted above, the data set did not contain any categorical variables.
Factor analysis was considered as a data reduction step prior to regression analysis.
Multivariate data analysis.

Write down the relative datas after 2 minutes’loading . when it reaches the maximum load, then the loading should be continuous and slow.
The average vertical compressive strain in the specimen is measured by the displacement measurement.Stress, strain and displacement are measured by electronic data collection system automaticly.
(1) -axial compression capacity of RC columns with FRP constraints; -factor of stability,; -additional reduction coefficient,0.9; -compression strength design value of RC columns with FRP constraints; -sectional area of core concrete; - design value of compression strength; -sectional area of bar.

Data used for simulation modelling were collected through field observations and video recording techniques.
For the collection of data, a video camera was set up to video record all the activities included in the bricklaying process under study.
This number of data points is deemed to be sufficient for simulation modelling and further statistical analysis [7-23].
Hence, simulation outputs of the real-world model will be compared to the actual data collected from the construction site [30].
The current research started with field observations and data collection.

The communication data are successfully transmitted using a low-cost ZigBee wireless network.
Data Communication.
Sensor nodes exchange data in different ways, which are controlled under the software.
The calibration data are sent to every smart PV module from the base station, where the internal parameters of the control system are calculated based on practical data.
All data are passed using the most reliable communication links and most cost-effective path.

The data of acceleration history for shaking table experiment directly have been set on the LS-DYNA analysis model.
The friction coefficient is evaluated by average of experimental data.
The time history of experiment data for VCC and AOS is 53.5 and 61.0 seconds respectively.
Fig. 3 The channel direction of digital data in experiment.
The stiffness of pad for AOS resulted of the reduction of displacement while shaking.

Hot stove combustion in the economic operation mode, which not only to realize constant temperature heating, and energy saving and emission reduction.
Because the neural network training data is limited, it can not cover all the cases, so the prediction must have a discrepancy between the output and the actual system.
In order to test the fitting degree of forecasting results and the measured data.
Test time interval is 1 minutes, the measured data and the prediction results as shown in figure 4.
By comparing the predicted values with the measured data of temperature curve of the curve, we can find that the forecast result and the actual change is consistent with the basic.

The Inference Engine is used to interact with both knowledge base (extracted from human experts or specific literature and typically being in the form of a set “IF THAN ” rules), and specific data base, provided by the user.
Partial conclusions based on these data are temporarily stored in the Working Memory in order to find the solution of the particular problem. [1, 2, 3, 4].
Coupling Knowledge Base and Data Base To build the expert system used for choosing the couplings, a classification scheme of the couplings was created as it can be seen in figure 2.
It is important to build a complete data base for a good expert system application.
Table 2 Deviation Torque Meaning transmission moment Constructive dimensions Assembly / disassembly Force Orientation Mechanical coupling with front teeth - High Two-way Small Extremely simple - - Intermittent rigid couplings - High - Small coupling only for synchronous movement - - Couplings to compensate for radial deviation (transversal) coupling Schmitd Radial - - made important reductions in overall - - - sleeve couplings - Small, high - 70-100mm - Axial, of shear Horizontal, vertical Coupling Algorithm Base Expert system inference mechanism works as follows: Expert system reads the database and inserted into the agenda questions that meet the facts, which has the following syntax: attribute value In agenda are multiple choice questions to answer after which it associates a fact.

The specific weight and percentage of absorption was also determined, taking as data the specific weight saturated with dry surface (Pe sss = 2.65), the specific weight (Pe = 2.62) and the percentage of absorption (%A = 0.96).
We decompose the gravel to obtain the right diameter for our calculation (data) V.
We test with the simple compression machinery to obtain the data of last effort and the settlement of each specimen. 1 2 3 4 5 Fig. 2.
Analysis and Results In the following tables we can see the data obtained by the simple compression machine of the different schemes already explained above.
The reduction of the settlement obtained by the hybrid column technique is directly related to the distribution of the average soil tension with the hybrid column.