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In Fig.2, although the nanocomposite strength increased relative to pure PPS, with increasing nano-ZnO content, the elongation at break decreased by nearly half, combined with XRD data analysis,which may be ascribed to the role of Zn2+or O2- in increasing the nanocomposite crystallization by minishing the value of d.
The weight loss before 200 °C was accounted for the evaporation of water; therefore, part of the data taken from 200 to 800 °C showed the rate of weight loss or removal of water.
Under the condition of programmed rise in temperature, the sample DTG data indicated that the pure PPS and nanocomposites start to decompose, almost at the same time, at 470 °C.
A high chemical bond was formed because of the combination of oxygen and sulfur atoms, which played a small role in curing, leading to increased thermal stability of the nanocomposite. 3-2 Thermogravimetry Figure 3 (a) TGA and (b) DTG curves for pure polyphenylene sulfide and its nanocomposites Table 1 Thermogravimetric data table of pure polyphenylene sulfide and its nanocomposites Content[phr] Initial decomposition temperature[°C] TVmax1[°C], [%] TVmax2[°C], [%] 0 470 511,8.54 550,7.00 0.2 470 515,5.55 553,3.10 0.4 470 513,7.68 553,4.21 3-3 Differential Scanning Calorimetry Figure 4 DSC curves for (a) heating and (b) cooling curvesof pure polyphenylene sulfide and its nanocomposites Table 2 Non-isothermal thermodynamic data of pure polyphenylene sulfide and its nanocomposites Temperature rise Temperature reduction Content of ZnO[phr] Tg[°C] Recrystallization temperature Tc1[°C] Melting point Tm[°C] crystallization temperature Tc[°C] 0 91.9 128.3 283.1 218.6 0.2 92.3 129.4

The resistivity of thin film samples was measured using the vdP method, and the results were compared to the physical property measurement system (PPMS) data.
The formula is as follows: (3) The measurement system depicted in Fig. 1 (a) comprises a vacuum pump unit, a variable temperature-field Dewar, and a data acquisition and control unit.
Data acquisition was performed using the Keithley 3706 multimeter, and temperature control was achieved using the Model 332 temperature controller from Lake Shore Cryotronics Inc.
Overall, this design enables rapid temperature reduction of the sample stage to the desired low-temperature region.
For the same sample, Fig. 5 (a) compares the results obtained from the PPMS and this apparatus, showing consistent data.

Data analysis was performed with software provided by Micromeritics, Inc.
Surface area and pore volume parameters for both samples were extracted from the isotherm data using Brunaer-Emmett-Teller (BET) and Barrett-Joyner-Halenda (BJH) methods, respectively.
A more detailed description of the pore structure is achieved by constructing pore-size distribution (PSD) plots from the isotherm data using one of many available models, in this particular case the Broekhoff-deBoer model (cylindrical geometry).
Fortunately the largest fraction of pore volume for this carbon nanofoam structure is distributed in larger pores, which exhibit only modest reduction in pore volume following the introduction of the POMA coating.
For this series of experiments, we collected impedance data at two DC potentials (EDC).

If the shaft block has all input data from the two inertia blocks, it can generate torque that is supplied to inertia blocks and it affects them.
The Matlab software is applied for processing of output data and here the values of velocity and vehicle position are shown.
The user can create an interface for displaying the output data from the simulation.
Inputs data can be driven by external user intervention.
For accurate verification, the obtained data have to be compared with measurements of standard driving manoeuvre on a real vehicle.

Therefore, it has been developed from a long time ago, and reported its test methods and reference data[8-11].
The results of this study may provide a available reference data to develop the anti-fouling paint which have the long term anti-fouling effect by decreasing its wear ratio. 2.
Table 1 Comparison of wear ratios obtained by measurement of film thickness with immersion days Table 2 The data between wear ratios and variation ratios ofdiffusion limiting current densities measured in cathodic polarization curves of with immersion days Table 2 shows wear ratio and variation ratio of diffusion limiting current density.
Therefore, the evaluation of corrosion resistance for anti-fouling paint may be provided with a available reference data for a prospective view on its wear ratio. 4.
Furthermore, the evaluation of corrosion resistance for anti-fouling paint is considered to be able to provide with a available reference data to expect its wear ratio.

Therefore, the reduction of the amount of intermetallic-Mg17Al12 phase around grain boundaries may improve the ductility and fracture toughness of cast magnesium alloys.
At other temperatures, there are similar to relationship between the crack length and cycles. 12000 12500 13000 13500 14000 14500 15000 0 50 100 150 200 250 300 350 Fatigue crack length (Micro meters) Cycle numbers Fatigue test at maximum stress 120MPa at R=0.1 At room temperature Data at open state Data at closed state Fit polynomial data 800 1000 1200 1400 1600 1800 0 50 100 150 200 250 300 Fatigue crack length (micro meters) Cycle numbers Fatigue test at maximum stress 140 MPa at R=0.1 Data at open state Data at closed state SUMMARY AND CONCLUSIONS Fatigue crack growth under mechanical loading is mainly along the boundary of α-Mg phase and seldom cause cleavage of α-Mg grains even if under the high stress level.

There are also difficulties in terms of time and equipment requirements for obtaining data regarding pressure and velocity generated in the injector, so an analysis study using simulation is needed [8-9].
The mesh data for the flow model consisted of 3.5 million nodes and 1.0 million elements.
Table 1 depicts the mesh condition and flow condition data applied to the analysis program.
Fig. 7 Pressure generated inside the plunger of each model Figure 8 shows the mass flow data for the gas generated in the injection nozzle according to the movement of the plunger.
Mansuri, Reduction of pulsation noise in CNG vehicles, SAE Technical Paper. (2013) [6] J.

Each run has 30 data points.
At equals to the average of 30 data points in a run. est equals to the ratio of the standard deviation of the 30 data points Astd and the transparent window size At.
Construction of the 14 2 −IV design and the test results Std Order Run Order * Qw vt φw hm At (mm2) est 8 1 1 1 1 1 100.530 0.006245 2 2 1 -1 -1 1 73.074 0.084128 7 3 -1 1 1 -1 1.500 1.012623 3 4 -1 1 -1 1 60.321 0.156492 6 5 1 -1 1 -1 67.250 0.080062 1 6 -1 -1 -1 -1 24.704 0.096153 5 7 -1 -1 1 1 34.228 0.204274 4 8 1 1 -1 -1 53.270 0.17179 * 30 data for each run.
Each run has 40 data points.
There is a reduction when Qw is 1.05ml/s (Fig. 8).

One can see that all the experimental data are scattered between two straight lines describing the diffusion mechanism or the regime of free evaporation.
At the same time the data for free evaporation almost coincided with the case of evaporation in the ammonia medium with diffusion limitation.
Calculated curves [6] and experimental data.
Calculated curve (solid) [7] and experimental data.
The experimental results are very close to calculation data [7].

The experimental setup was shown as Fig. 1, including (1) the test specimens, (2) the test section and heating system, (3) the data-acquiring system, and (4) the infrared thermal-image camera.
All thermocouples connected to a YOKOGAWA MX-100 data recorder.
Fig. 1 Experimental setup Fig. 2 Configurations and dimensions of Model B heat sink Fig. 3 Dimensions of test section and positions of thermocouples Data Reduction and Uncertainty Analysis.
Data supplied by the manufacturer of the instrumentation states that the measurement of flow velocity had a 1% error.
The experimental data herein reveal that the uncertainty in the thermal resistance (R) was 6.8%.