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Although the use of lightweight metals such as aluminum alloy and magnesium alloy can achieve the purpose of weight reduction, the material cost seriously affects the market competition accordingly.
The stress and strain relations obtained from the finite element simulation results recur to those acquired from the experimental data very well.
It is seen in Fig. 3 that the consistency between the experimental data and the finite element results are noted in the tension portions.
The experimental data was also employed to determine the material constants used in the Yoshida-Uemori model and the finite element simulations of the cyclic tension-compression tests with the Y-U material constants re-produce the stress-strain curves quite consistent with those obtained from the experimental results.

Young's modulus Lateral resonant devices (Fig. 2) were used to derive film modulus data.
The spread in the Young's modulus data is likely due to variations Journal Title and Volume Number (to be inserted by the publisher) 3 in beam dimensions within a particular device as a result of lateral variations in the lithographic patterning and SiC etching steps.
This curvature inhibits performance by causing any or all of the following: an electrical short since conductive device elements could touch the substrate, a decrease in electrostatic actuation capability due to reduction in overlap area or an increase in mechanical friction.
Devices were observed using SEM to confirm release and to obtain data such as direction and profile of out-of-plane deflection, beam take-off angle and beam length.

Introduction Nowadays with the increase of automotive ownership, crash safety, foul saving and exhaust reduction were becoming the most important areas for vehicle design.
Tests data included load and crosshead displacement were stored in the computer at a recording rate of one data point every 1 s.
Deformation modes of the stiffened single hat sections (Type II) Resistance force and displacement relationships.The axial resistance force and displacement relationships could be achieved from the data recorded.

Test data and analysis The test data of water content.
The test data of water stability.
With the further reduction of water content, the bond strength between asphalt and aggregate begins to be restored, making the splitting tensile strength increase.

From impedance data, the dielectric constant of the film materials increased with increasing niobium concentration in the film.
The data of Table 2 reveal a decrease in CPE with increase in film thickness, as expected; further, the mean value of the dielectric constant increases with increase in niobium content of the alloy and corresponding anodic film.
The rate of voltage rise decreases with niobium content of the alloy, indicating a reduction of high field strength for ionic transport with increasing amount of niobium cations in the anodic film.
-The impedance data reveal decreasing capacitance with film thickness for a constant alloy composition, and an increasing mean dielectric constant with increasing niobium content in the alloy and its anodic film.

With price reduction of PV modules and development of PV technology, the role of PV generation systems is gradually changed from supplemental energy to substitute energy, and stand-alone and grid-connected PV generation systems will be the trend among PV applications[1].
It can according to the instructions of PC, and send these data to the upper computer to carry out processing; users can also according to the command button, reset, display and print simple statements, and other operations.
Software design Lower computer system software adopt modularized software design method, mainly by the data, print statements, serial communications and A/D sampling interrupt service routine and other modules.
Communication management module part is mainly responsible for read the all kinds of data information of lower machine and processing.

With forest resource reduction and environmental awareness, artificial plate arises.
Data structure for transmitting information between Pro/E and application program is not visible, and the function can only be provided by Pro/TOOLKIT to access, so using Pro/TOOLKIT toolbox to call itself with the function library, original software function is expanded.
Above all, Visual C++ 6.0 creates graphical user interface, it is associated with SQL Server 2000 database, and it operates and controls data source by use of ADO technology, the user can select or add data through the interface.

It forces the sharing of interactions and data among functional members.
It is believed that the use of teardown data is very important to be able to analyze the materials content and structure of a vehicle in the early design stage [2].
The problem that needs to be addressed is that reduction of waste stream through the recovery and recycling of plastics.
One of the potential materials or part recovery routes is dismantling, where numerous attempts have been made to improve the process, including whole disassembly lines and analysis tools to assess optimum disassembly sequences using recovery cost and revenue data [5].

These gate biases correspond to Fermi energies in which the interface trap density could be well established utilizing conventional electrical methods. 100 150150 300 450 600 750 300 450 600 750 0.1 1 10 30 Experimental Data Field-Effect Mobility, µµµµFE [cm2/Vs] Temperature, T [K] VG=12V VG=9V VG=6V MODEL 1014 1015 1016 1017 1018 0.01 0.1 1 10 30 1014 1016 1018 0 4 8 12 Vth [V] NA [cm-3 ] Scaled from Ref. [6] Experimental Data Field-Effect Mobility, µµµµFE [cm2/Vs] Substrate Impurity Concentration, NA [cm-3] VG=12V VG=9V VG=6V MODEL (a) (b) Fig. 3.
Computed and experimental dependence of the field-effect mobility on (a) temperature (b) substrate impurity concentration (experimental data from Ref. [6] @ Vg=20V).
Hence, we find that a high density of traps provokes an additional considerable reduction in field-effect mobility when there is an increase in substrate doping.

It shows that with the reduction of electrode gap, the electric field and potential values ​​were increasingly improved.
The comparison between experimental data and simulation results of nine samples is shown in Fig.7.
Table2 Process parameters H2:SiH4 （sccm） P（Pa） T （℃） 109:11 169:11 50:10 169:11 109:11 50:10 109:11 50:10 169:11 300 200 100 300 200 100 300 200 100 520 520 520 350 350 350 180 180 180 From Fig.7, it is concluded that the tolerance of the deposition rate between the experimental data and simulate results is less than ± 15%, that is, the experimental data and simulate results ​​are in good agreement.