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A Kumar-type constitutive relationship of TA15 alloy was investigated by non-linear regression analysis, and the equations were established based on test data from hot process simulator.
According to test result data a Kumar type constitutive relationship of TA15 alloy was investigated by non-linear regression analysis.
Using Q, n and α data, the A value is obtained from Eqs.(1) and (2) as an average at different  and σ.
The height reduction curve waved along forging time, the height reduction reached a trough at the beginning or the end of every hammering period.
Conclusions A Kumar type constitutive relationship of TA15 alloy has been studied by the non-linear regression analysis of test data from hot process simulator.

However the systematic data on the influence of the process parameters (e.g., ratio of rolls velocity mismatch, reduction per pass, friction and diameter of rolls), and the shear strain rate required to achieve a significant grain refinement in asymmetric rolling are lacking.
However the works and projects known to the authors of this paper lack the integrated data on influence of asymmetric rolling parameters (e.g., mismatch ratio of the roll velocities, reduction per pass, friction and diameter of rolls) on the shear strain values and their distribution through the sheet thickness.
Pure aluminum DIN-Al-99.7 from DEFORM-2D data base was chosen as a material for simulation.
The initial data varied within the following ranges: 1) friction coefficient on the contact with the top and bottom rolls μ = 0.08…0.32; 2) work roll radius R = 50…200 mm; 3) mismatch factor of roll velocities Kv = 1.00…3.33 (Eq. 8); 4) reduction per pass ε = 30…70%.
Influence of reduction per pass Very high values of the shear strain can be achieved by means of combination of significant reduction (ε ≥ 50%) and velocities mismatch with (Kv ≥ 2.00).

Data collection for medical data warehouse research Yuke Chen1,a , Taixiang Zhao1,b 1Department of foundation, First Aeronautic Institute of the Air Force ,Xinyang, China ayuke_chen@sohu.com, bZtx304@126.com Keywords: Data warehouse, Heterogeneous sources, Project management Abstract.We propose an easy method for data collection and central data warehouse design.
Basically, our data gathering and data organization was repeated three times, each time trying to avoid previous mistakes.
Finally, we advise that for data gathering in general, one should identify the critical requirements first.Typical requirements are high levels of data privacy, data accuracy, analysis speed, ability to filter large amounts of data, good connectedness, short-term data availability, etc.
This will reduce the scope of the data gathered and will simplify the schemas of the data repository.
In our case, the scope reduction was also a consequence of the analysis tools that have been already developed.

The load cell sensor will send data about the reduction in the weight of the drying material to the microcontroller for further processing.
Load Cell Data Eror.
DS18B20 Data Error.
Table 5 shows the average data error of 3 temperature sensor data.
The average data error rate is 0,099% for load cell data and 0,28% for temperature sensor data.

Energy conservation and carbon dioxide reduction can form a new economic growth industry.
Introduction Carbon dioxide emission reduction is a big problem for most countries including China.
Comparison of carbon dioxide emissions in China, USA and other countries According to data released by website of Energy Information Administratio（http://www.eia.doe.gov) , the world’s carbon dioxide emissions have been increasing by 64.09% from 185.12 million tons in 1980 to 303.77 million tons in 2008.
Cointegrated analysis of relation between carbon dioxide emissions and GDP Data The data of carbon dioxide emission is from the website of http://www.eia.doe.gov released by Energy Information Administration.
The annual data of economic growth is represented by real GDP at a constant price of 1980 obtained from the China statistical Yearbook the corresponding year and from Statistics of Fifty-five Years in New China (2004).The variables’ notations and definitions are as follows: : Carbon dioxide emission in million tons

Among all those methods, reduction remains the primary method for iron recovery from BFD.
Results and Discussion Analysis of the XRD data in Figure 1 observes a significant change in the phase structure of the sample with 30% BFD (30:70) during the reduction.
After reduction at 1000 °C (as signed 30:70 RD 1000 ºC), the intensity of the Fe₃O₄ and FeO peaks decreases, indicating the reduction of iron oxides, while a peak for metallic iron (Fe) appears.
XRD data in Figure 2 for four samples with different BFD:fine ore ratios (0:100, 10:90, 20:80, and 30:70) show a gradual reduction of iron oxides as the BFD ratio increases.
XRD data in Figure 3, analyzing samples with different BFD:fine ore ratios (0:100, 10:90, 20:80, and 30:70) reduced at 1100ºC, show a clear change in the phase structure.

Along with reduction of transit performance deploys the company in recent time significantly more energy effective power units for transit of natural gas.
The advantage of remote transition of data lies in data transfer from distant facilities in real time, observation of machine operation and it evaluation. [3] One of the most important features of on-line monitoring is recording of all operation states that means start, turn off or change of rotating regime.
Automated measurement system (AMS) and it technical measurement devices, technical equipment designed for data processing, data evaluation and information means must accomplish operation characteristics according to state-of-art of continual measurement technology, record the processed results and data in digital form, assure the alerting of its failure states and drop-outs and assure recording of at least 72 hours of operating data.
Following relations are used in these calculations: NOx (mgm3)=(NOppm+NO2ppm)∙2,0527 (4) CO (mgm3)=COppm∙1,2497 (5) NOxr (mgm3)=NOx (mg/m3)∙20,95-O2ref/20,95-O2mer (6) COr(mgm3)=CO (mg/m3)∙20,95-O2ref/20,95-O2mer (7) O2 ref - oxygen reference[ 15% ] O2 mer - measured oxygen The most essential condition of automated monitoring system operation is regular check and calibration to assure confidence of measured data.
The particular turbine power reduction in this alternative is realized by automated system, using feedback of mechanical power and NOx concentration in combustion gases, controlled by automated monitoring system.

Finite Element Model updating for Damage Localisation and Quantification using Experimental Modal Data A.
The identified experimental modal data (eigenvalues and mode shapes) serve to update the underlying finite element model.
Young's modulus, cross-sec- tional heights) in such a way that the differences of the analytical modal data with respect to the identified experimental modal data are minimised.
In general, the eigenfrequencies are determined more precisely than the mode shapes and the modal data associated with the lower eigenfrequencies ("slow" modal data) are more accurate than the "fast" ones.
An eigenvalue decomposition of the lower left sub-matrix ( SM 1− − ) yields the undamped modal data.

The established data reflected an outstanding performance on the Hg0 re-emission inhibition from the simulated WFGD liquors by adding DTCR.
Our data suggested that a concentration of 0.0005% (v/v) was enough for Hg0 re-emission inhibition in the simulated WFGD liquors.
The elemental mercury (Hg0) re-emission and the factors that impact DTCR Hg2+ precipitation efficiency and Hg2+ reduction inhibition were investigated by using the simulated scrubber.
The established data reflected an outstanding performance on the Hg0 re-emission inhibition from the simulated WFGD liquors by adding DTCR.
Our data suggested that a concentration of 0.0005% (v/v) was enough for Hg0 re-emission inhibition in the simulated WFGD liquors.

In the proposed method, Layida Method preprocesses data and data fusion model for data integration are used.
This technique is essential in the wireless sensor environment, because the reduction of data packets enables less usage of wireless transmission modules.
Distributed data fusion can be used for data fusion structure, which reduces the amount of redundant data, but also provides the needed information.
Therefore, the data from the fusion center (head node) is not the original information data, but the convergence of the data.
Layida Method is used to preprocess to the humidity data and eliminate some noise data.