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Optimum adhesive thickness and overlap length can be calculated from these experimental and analytic results for design of adhesive bonded joint, and results can be the base data to design the adhesive structure.
Also, these data provide bonding structure with design criterion and contribute to raising the productivity and a reduction in cost.
A simple model has been proposed to predict the variation of toughness with adhesive thickness and there is good agreement with experimental data for the joints with AA7075 adherends.

Experiments and data analysis In order to investigate the influence of pore pressure in the micropores of the matrix and also in the fracture, we prepare a cylinder coal sample from Datong coal mine which length is 100mm and because we want to compare the results of different conditions when different kinds of gases were sent into the sample, we cut the sample into two parts and each length is 50mm.
Table.1 Experimental data of the test Sample Rank [%Rmax] Each Length[mm] Diameter [mm] Methane pressure[psia] CO2 Pressure[psia] Sorbed CH4 Sorbed CO2 Datong 2.38 50 25 385 - 4.7 - 260 148 3.2 6.9 95 264 1.3 8.4 Fig.3 Coal permeability measurement setup Fig.4 Experimental and theoretical strain for Da tong coal sample In the experiment of the injection of CO2, we took the influence of pore pressure and the swelling of coal matrix into consideration.
Selective transport of CO2, CH4, and N2 in coals: insights from modeling of experimental gas adsorption data.
Linking gas-sorption induced changes in coal permeability to directional strains through a modulus reduction ratio.

However, it is clear that the corresponding peaks appear at lower Brillouin shifts for the porous material, indicating a softening of the elastic properties and a reduction of the speeds of the acoustic waves.
We use Shaffer's [10] fitting expressions to optical data for 4H-SiC to obtain 681.2=on and 737.2=en , and therefore 485.2=on and 616.2=en for p = 0.10.
The data reported here were obtained in backscattering geometries (φ = 180°), with the incident and scattered radiation propagating parallel or perpendicular to the optical axis.
Considering the experimental challenges to obtaining these data and the fact that no parameters in the model were adjusted, the agreement is impressive.

So first of all improved aerodynamics can be achieved which lead to a reduction of weight and so to less fuel consumption.
This data will lead to an advanced predevelopment in tool design and can be used for process simulation purpose.
Description of the standardized test The basis of this process is the electrolysis according to Faraday’s law and so the experimental data won in former tests does not lose its timeliness or correctness.
Fig. 4: Surface roughness – Current density curve of standardized test for Ti-6Al-4V and Inconel 718 Economical process analysis for substituted blisk geometry With the help of the experimental data as rough estimation for both alloys a theoretical ECM-processing time of substituted blisk geometry (Fig. 5) is calculated as an example out of many possible applications.

After being treated with H2O2 for 24 h at 37°C, 5% CO2 , PC12 cells (4Х105cells/mL) proliferation ability was detected by the MTT reduction assay.
The data were analysed by using repeated measure ANOVA followed by post-hoc comparisons with Tukey’s test.
Data are mean±SD, n =6.
Fig2 The effect of schisandrin on the expression of bcl-2 in PC12 (×400） A control group; B Ｈ２Ｏ２ model group; C Schisandrin 1.2μM group Data are mean±SD, n =4.

Rough match is to extract the interlaced row and column data which means 1/4 of the template data, and then, interlaced row and column matching in the search image was processed, i.e. matching in the 1/4 range of the original image.
The matching speed of this method improved significantly due to the reduction of the extracting data.

The calculated data and test data for total grinding force are shown in Table1.
Table 1 Surface grinding force test data Grinding parameters Test value Calculated value Impact load vw[m/s] vs[m/s] ap[μm] Ft[N] Fn[N] Relative error of Ft[%] Relative error of Fn [%] Fd1[N] Fd2[N] 0.02 21 10 7.6 20.5 4.52 7.62 0.0197 0.36 15 7.9 23.7 3.43 3.89 0.0244 0.44 20 8.5 27.5 4.56 5.72 0.0281 0.5133 33 15 8.5 24.8 6.74 5.02 0.0163 0.297 20 9.7 26.5 5.69 8.23 0.0188 0.342 25 10.9 30.9 2.87 4.18 0.021 0.3816 0.03 28 15 9.5 25.1 8.7 3.92 0.0127 0.238 20 10.6 28.2 2.57 6.42 0.0153 0.261 25 11.8 31.9 5.34 8.01 0.0168 0.279 21 15 10.7 25.3 9.10 4.38 0.0163 0.297 20 12.2 30.8 6.53 5.98 0.0187 0.342 25 13.7 33.9 4.36 8.73 0.0209 0.3816 33 10 8.1 22.9 7.96 2.61 0.0093 0.1729 15 9.7 26.4 6.34 3.75 0.0115 0.2145 20 10.2 32.1 3.14 5.36 0.0133 0.247 0.05 28 15 10.6 28.2 1.95 3.73 0.0086 0.1558 20 11.9 33.1 5.36 4.26 0.0098 0.1794 25 13.5 34.8 7.52 6.31 0.0110 0.2002 21 10 10.5 25.2 5.89 3.52 0.0085 0.1596 15 12.6 30.6 3.66 5.38 0.0105 0.1980 20 14.1 35.3 4.21 6.33 0.0121 0.2280 Results analysis
When the ap is15μm and vs=21m/s, the impact load appears a reduction tendency with increase of the workpiece velocity.

If sintering is viewed as the consequence of the transport of activated volume, then the degree of sintering can be defined as the ratio between the equilibrium activated volume and the effective activated volume [11]: v v st + =)(� (2) According to [10] reduction of effective activated volume can be defined as: �/ 0 11 t e v v v v � + + � 
 � �� 
 � �+= (3) where � - is a time constant.
EXPERIMENTAL Literature data on the sintering of alumina was used [12, 13].
Table 1 Relative density of isothermally sintered alumina samples [12] �r t (min) 1673 K 1723 K 1773 K 60 0.6364 0.6965 0.8004 180 0.6963 0.8076 0.8735 300 0.7271 0.8512 0.8825 600 0.7754 0.8734 0.9267 900 0.8111 0.8864 0.9393 In the second case [13], the data obtained on sintering alumina by an optical dilatometer was used.
Figure 1 gives the results obtained for alumina data given in Table 1.

The United Nations Intergovernmental Panel on Climate Change (IPCC) has studied these problems and a general conclusion has been achieved between researchers, industry leaders, and politicians that dramatic reductions in greenhouse gas emissions must be achieved in order to stop climatic changes [1,2].
It shows that our simulation results are very close to experiment data.
Table 2.Breakthrough curve operation condition [7] Pressure (atm) 1 Temperature (K) 523.14 Feed flow rate (L/min) 0.25 Feed composition (CO2) 40% Bed length (cm) 97.2 Bulk density (g/mL) 0.694 Fig. 3 Inlet CO2 mole fraction y=0.4 breakthrough data on Na2O-promoted alumina at 523.14K Single-bed Six-step WGS TSA Process Simulation.
The accuracy of the simulation program is verified by comparing our simulation results with the experimental data of breakthrough curve from Lee et al. [7].

Data Reduction The regional heat transfer coefficientis calculated from the regional heat transfer rate unit surface area from the inner wall to the cooling air, the local wall temperature() on each aluminum plate, and the local bulk mean air temperature (as: (8) The heat loss ( is determined experimentally by supplying electrical power to the test section until a steady condition is achieved for a no flow condition.
Fig. 6(b) shows the average channel friction factors by obtaining from experimental and numerical data for the smooth channel, the channel with the twisted tape, and the channel with the twisted tape and ribs on the bottom wall, respectively.
The experimental data by Zhang et al.[4] for the ribbed tube with the twisted tape is included for a comparison.