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Due to the restriction of time and the data of applicable product, when applying FEA to research and development and change of analysis and design, simplified application process is needed for the already analyzed model[2].
Table 1 Parameters of mesh generation Data Project name Data The size of unit 30mm The number of nodes 460745 The size of tolerance 1.5mm The number of degrees of freedom 1377267 The number of unit 298868 Decoder FFEPlus algorithm Extracting natural frequency.After calculations, the former fifth natural frequencies of the dynamic are listed in table 2 and the corresponding principal vibration modes are illustrated in Figure 3.
Research on the main reduction box for cantilever double tooth roller crusher[J].1995(1): 12-13

.%) Composition Ti Al V Fe Si C N H O Percent Bal. 5.5-6.8 3.5-4.5 0.3 0.15 0.15 0.05 0.015 0.2 Table 2 Mechanical properties in longitudinal direction for TC4 alloy Material Sy(MPa) Su(MPa) Reduction in area(%) E (GPa) Elongation (%) TC4 880 950 36 113.8 14 The samples manufactured by TC4 alloy were cut into a rectangular shape with dimensions of 60 ×10 × 5 mm3 plates.
There were 5 samples in each group of test, and an average value was determined on the basis of the five measured data for each group.
Based on these data, two promising candidate LP parameter sets were evaluated, and the most optimal LSP parameter was chosen.
There were 5 samples in each group of test, and an average value was determined on the basis of the five measured data for each group.

This leads to a reduction of probability to high DGD values, but without any maximum limit.
Fig.3 The experimental setup for adaptive PMD compensation We got a data table achieved from the adaptive PMD compensation experiment depicting the relationship between DOP and variable voltages of the polarization controller.
Then, we tested DPSO and PSO algorithm using this data table by simulation.
Our aim was to find the best DOP in the data table.

The impact force measuring system consists of BK-2B unidirectional force cell, signal amplifier, PCI-8360 data acquisition card and special processing software.
In this research, to increase the information amount of experiment data and to enhance accuracy of the prediction model, the orthogonal experimental design and regression analysis method are used to establish the impact force model.
Therefore, the inner pressure of micro-detonation will decrease, causing the reduction of impact force.
Using data in Table 1, the test results can be obtained and are listed in Table 2.

Gabbay and Mehner et al. used polynomial functions whose coefficients were identified using strain energy data to model a microelectromechanical system[3].
The form of this polynomial can be written as: (4) Where U is the strain energy functional for the system, the coefficientsare found using a least squares fit of strain energy data generated using a finite element package and the are the Lagrange basis functions.
Acknowledgments The research described in this paper was financially supported by National Natural Science Foundation of China (Contract No. 51108345) , opening foundation of State Key Laboratory for Disaster Reduction in Civil Engineering of China (Contract No.
Computers & Fluids, Vol46, (2011), p. 161 [2] Menicovich, D., Gallardo, D., Bevilacqua, R., Vollen, J.O., Generation and integration of an aerodynamic performance data-base within the concept design phase of tall buildings.

These data must be on elements features that influence cycle performed by product during life.
These data will be completed for each component.
In the next stage, in SimaPro program menu, necessary data for the recycling of each component are inserted.
Moreover, the precision of analysis of life cycle depends on the accuracy of collected data.
A life cycle analysis is viable only if data used for analysis are also viable.

This is mainly caused by the lack of data in order to evaluate the process economically and differentiate it to other processes like arc and laser welding, also regarding technological factors.
Breivik [9] investigated the same material and obtained a total strength reduction in the HAZ of 43 and 34% for GMA and FSW samples, respectively.
As can be seen from the progress of the values, the spindle torque reaches an area of saturation at more than 3000rpm, which is assumed to be caused by a reduction of the coefficient of friction due to local melting and change in the stick-slip-condition.

Letson and McCullough (2001) found out the relationship between SST data and soybean futures price [2].
to denoise ONI data, get the filtered signal, denoted as ONId [4].
Effect of ENSO on wheat futures yield Data Selection.
In the course of GARCH analysis, the data structure is required to be consistent.
So, it’s necessary to observe the data structure.

Furthermore, Rubaai [7] describes a computer program yielding an optimal design of a distribution transformer based on user input data.
Data Input Two groups of input data must be defined by the user, prior to the transformer design optimization process, concerning: i) the transformer technical characteristics and ii) the mixed nonlinear programming methodology parameters.
These data are necessary for the execution of the algorithm and the derivation of the optimum transformer design.
The 3D FEM model incorporated in TDO software, developed in [19], is built automatically, using the geometrical data of the optimum solution and computes the transformer magnetostatic field under short-circuit test, according to its main electrical data.
For the above input data, 188 optimum designs were produced, using both methodologies.

Secondly, under consideration of the task balance, the processing unit for each charge on every working procedure is selected at random, and these data are saved on the gene segments of .
The comparison of the observed data of the practical process and the production plan of the simulation experiment is used to verify the algorithm and model.
Table 1 Comparison of the Average Staying Time of the Hybrid GA with the Production Data No.
By comparing simulation results with the practical data, it is observed that the optimization algorithm can achieve a performable and reasonable production plan for the SM-CC process.
Acknowledgment The authors would like to acknowledge Panzhihua Iron and Steel Co. for their help in collecting production data.