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Weight reduction of 100 kilograms represents a fuel saving of about 0.5 litres per 100 kilometres for a vehicle [2].
Referred to the results of most other finite element analysis and actual experiments of light-alloy wheels [3, 6, 7, 8, and 9], the data were basically the same.
Table 1 shows the comparison of the mode frequency data of the wheels made in two kinds of materials.
Table 1 comparison of the mode frequency data between magnesium alloy and aluminum alloy Order aluminum magnesium rate of change mode shape 1 357.24 350.80 1.803% Rim's I-type Tilt Vibration 2 357.58 351.14 1.801% Rim's II-type Tilt Vibration 3 402.21 394.96 1.803% Rim's I-type Elliptical Vibration 4 402.26 395.01 1.802% Rim's II-type Elliptical Vibration 5 549.06 539.17 1.801% Spoke's Up and Down Vibration 6 760.36 746.67 1.800% Rim's Rotation 7 814.09 799.42 1.802% Rim's I-type Triangle Vibration 8 814.10 799.43 1.802% Rim's Ii-type Triangle Vibration As seen in Table 1, using magnesium alloy wheels instead of aluminum alloy to make this wheel, the natural frequencies of each mode are reduced within 2%, implying that properties of material have little effect on natural frequency of the wheel.

Therefore, in spite of the raise in the static elastic modulus, increasing the particles contents leads to a reduction in the work-to-fracture, Table 2.
From the comparison of the theoretical equations and the experimental data obtained for the elastic modulus the equation developed by Guth, Eq. 3, agree reasonably with the experimental results Where, Em, represents the elastic modulus of the matrix material, VP the volume fraction of particles and KE, is the Einstein coefficient, which is equal to 2.5, for round particles.
In Fig. 3, are represented the results forecasted by the Guth model and the experimental data for the dynamic and static modulus. 0 5 10 15 20 0 0.1 0.2 0.3 0.4 0.5 Reinforcement particles [%] Elastic modulus [GPa] Guthl Equation Dynamic Elastic modulus Static Elastic modulus Fig. 3: Representation of the Guth model, for elastic modulus of particle composites, and the experimental data for dynamic and static elastic modulus depending on particles volume fraction.

In consideration of a city pollution of groundwater supply system overweight and the characteristics of the compound water quality water supply, this paper discussed the formation law and its evolution characteristics of pollutants, through the experiment and data analysis.
Raw Water System Model .his case focuses on arsenic-based pollutant reduction wells to optimize the combination of technology.
Based on the city's measured data of Water source raw water system from April 2, 2011 to April 8, 2011, MATLAB got optimization plan.
In order to check the practical feasibility of the combinatorial optimization model, we checked the scheme, with the city's groundwater raw water system measured data from April 2, 2011 to April 8, 2011.As power consumption calculation is shown in table 1.

Each parameter was calculated by detecting the contour data.
The image processing in this system included the noise reduction, threshold transformation, contour extraction and the edge optimization.
Table 2 showed the measurement data.
According to the t distribution, kt is equal to 2.62. x is the arithmetic average of measurement data.

Although the rock mass assessment is attempted using seismic data, the effect of joint conditions on the wave velocity is poorly understood.
Data reduction.
This will improve the classification of a rock mass using in situ seismic data.

These data indicate that the coating liquid was not sufficiently mixed with the surface of the propellant.
So, coating one layer on the propellant couldn’t meet the requirement of improving the coating quality of propellants. 3.2 Impact test results Table 1 is the impact test results of the inner and outer layers of the coated propellant at different temperatures, and Fig. 4 is made according to the data in the table 1.
Therefore, it is very important to doing interrupted-burning test on the coated propellant, the data obtained from the interrupted-burning test is also an significant basis for judging the coating effect.
It can be seen from table 3 that, with the reduction of the proportion of outer layer, the hole broken rate of coating propellants increases.

Therefore, according to DSC data the temperature range of the thermal exfoliation was chosen as 250-350°C.
The matrix of the experimental parameters and data obtained are shown in Table 2.
Capacitance of the samples obtained using different experimental conditions Number of the experi-ment x1 x2 x3 Capacitance y3, [F/g]* code Heating tempera-ture Tmax, [°C] code Heating rate, [°C/min] code Exposure time, [min] Sample #1 Sample #2 1 + 350 - 5 - 5 17 37 2 + 350 + 15 + 55 4 4 3 - 250 + 15 - 5 129 99 4 - 250 - 5 + 55 86 105 * - data obtained at scanning rate of 2 mV/s As can be seen, the regression equation for the change in capacitance varies significantly.
Ruoff, Stable aqueous dispersions of graphitic nanoplatelets via the reduction of exfoliated graphite oxide in the presence of poly(sodium 4-styrenesulfonate), J.

At the beginning we assume the power density level in each region and then we perform the burn-up calculation using the assumed data.
The burn-up calculation is performed using cell burn-up in SRAC code which then give eight energy group macroscopic cross section data to be used in two dimensional R-Z geometry multi groups diffusion calculation.
The Pu-239 atomic densities are then decrease slowly due to significant reduction of U-238 atomic densities.
Tsuchihashi, “SRAC95; General Purpose Neutronics Code System, “ JAERI-Data/Code 96-015, Japan Atomic Energy Research Institute, Japan (2005)

This research study presents an analysis of investment, annual income from the project, reduction of environmental impacts, what's more, decrease of ozone harming substance emanations when the disclosure of the investigation of the PLTBg establishment at PT.
Methods The research carried out refers to utilizing and processing liquid waste into electricity with additional data assumptions using Homer software in Aceh province.
Interviews were conducted at the Rantau village palm oil mill to obtain actual data in the form of monetary and functional information. supported by a variety of sources, including books, journals, articles, and texts on the economic feasibility of using biogas made from pome raw materials.
Assumed data FRESH FRUIT BUNCHES tontahun LIQUID WASTE m3tahun ESTIMATED COD mgl CH4 PRODUCTION CH4kg COD Assumption 250,000 187,500 7,975 0.35 Fig. 1.

The confirmation of the highly ordered structure of pm-Si:H is given by the spectroscopic ellipsometry fitting of the measured data with the Tauc-Lorentz model that is presented in Fig. 3.
These results were confirmed by the shift of the 480 cm-1 mode to higher energies and the reduction of its width in Raman spectroscopy [3]. 1800 1900 2000 2100 2200 pm-Si:H a-Si:H Absoprtion (a.u.)
Real <�1> and imaginary <�2> parts of the dielectric function of an a-Si:H and a pm-Si:H films, where the data were fitted with the Tauc-Lorentz function [7].
Concerning the optical gap, the measurements performed led to values equal to 1.8 eV and 1.7 eV respectively for pm-Si:H and a-Si:H films, agreeing so with the CH data.