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At last, the consequences of all these data, and the need of complementary work, for the continuous improvement of the properties MMCs are delineated.
This formation kinetics increases more with the volume of the Sn sources and with a decrease of the distance between the sources and the filaments than with a reduction of the filament diameter.
Dealing for instance with the case of filaments of Nb within a bronze matrix, finite elements calculations have established that it is possible to reach to a continuous deformation of the constituents by a judicious choice of the pass area reduction during drawing [25].
The same work has further dealt with the effects of either the constituents disposition or the area reduction per pass.

The data obtained with this new system agreed with the existent data and the standard deviation was 0.03%.
However, it takes much time and efforts to get the fatigue data.
As a result, the number of reporting the fatigue data has been reduced recently.
If the results measured by the two methods are same, the data should be placed on the solid line.
The data obtained with this new system agreed with the solid line and the standard deviation was 0.03 %.

The experimentaldata-based SDIM depends on the type of data used to identify structural damages.
They include the modal data, strain energy, transfer function parameters, flexibility matrix, residual force, wave characteristics, mechanical impedance, and FRF data [2-10].
As discussed in [9], the modal-data-based SDIMs have some shortcomings: (1) the modal data can be contaminated by the measurement errors as well as the modal extraction errors because they are indirectly measured test data, and (2) the completeness of modal data cannot be met in most practical cases because they often require a large number of sensors.
Thus, in this study, the structural damage identification results for two cases are compared: (i) when only FRF data are experimentally measured, and (ii) when all data are experimentally measured.
Damage identification analyses are conducted for two cases: only FRF data are experimentally measured, and all data are experimentally measured.

This interface is used for retrieving the image data of specific region.
It first get the critical metadata of a region from HDFS; and then get the region's data by the original image and the critical metadata; and finally convert the region's data to Key-Value form.
The experimental data.
The experimental data.
The specific information of experimental data of performance analysis.

The data was analysed in the raw and corrected state.
Figure 1 presents the corrected XRD data plotted for comparison with the neutron diffraction data and associated error measured at the four electro-polished locations.
This shows the XRD data to be in good agreement with the neutron diffraction data, although due to the penetration depth of the neutron beam, limited near surface comparison is possible.
Strain data was analysed using the Integral Method.
In many cases the strain levels relieved in any single depth increment are a few µε, thus meticulous experimental practice, accurate strain measurement and appropriate data reduction techniques must be used to avoid large errors and uncertainty in the measurements.

Our calculated lattice constant is in agreement with the theoretical results and available experimental data. γ-Si3N4 can be used as anti-reflection coatings in the energy range of 10eV～21eV due to high reflectivity.
Results and Discussions Our calculated zero pressure lattice constant a=0.7773 nm, which is in agreement with the theoretical value (a=0.7837 nm [7]) and the experimental data (a=0.7744 nm [13]).
The maximum relative error between our result and these data is only 1.3%.
The peak of the loss function corresponds to the trailing edge in the reflection spectrum and is observed at 22eV corresponding to the rapid reduction of the reflectivity R(ω).

The control circuit online identify important critical frequency response characteristics of process object through input and output data in the normal process operation, and then the system online update PID controller parameters based on Ziegler - Nichols tuning rules or by the improved method.
The comparison of two kinds of PID control algorithm Because position type PID controller adopts total output, it’s output is the actual position of the actuator and each output is associated with the past state and calculation of deviation accumulation.So large amount of calculation work must do, once the data processing computing chips appear problem, the system will make the output volatility, and result in high volatility in the actuator, that causes big accidents.
According to the experience formula of following table and the corresponding controller type set corresponding PID parameters, and then conduct simulation validation and fine-tuning: Tab.1 Experience formula The controller type characteristic data PID 0.6 0.5 0.12 For the transfer function of a given controlled object, we select the intersection point between root locus diagram of discrete system and z plane unit circle on the root locus diagram, then we gain gain Km and this point value namely.
It is of great significance for industrial enterprises the energy-saving emission reduction and improving the operation efficiency of process equipment.

A four-pass high speed rod rolling test was conducted to acquire data for spread alteration of workpiece during hot rod rolling.
In other words, the freely deforming region of the specimen becomes small and this leads to reduction of spread of workpiece. 2-2.
Upper die Upper die Lower die Lower die (a) (b) h AR AR AF AF B C B Fig. 2 Schematic of friction effects on spread in compression under the same amount of reduction.
High speed rolling test So far, we have obtained quantitative analysis results based on deformation behavior in simple compression test and experimental data previously reported.
The proposed model shows a reasonable accuracy in comparison with experimental data and it is applied to a rod mill which is operating at higher rolling speed (~100m/sec).

Data of Chloride Diffusion and Concrete Repair Strategies In assessing the probabilistic chloride diffusion through concrete, there can be two basic random variables, i.e., chloride attack in terms of surface chloride (Cs), and chloride diffusion resistance of concrete in terms of diffusion coefficient (D0).
Using the raw data of Yokota and Iwanami [4], this study performs the goodness-of-fit tests and proposes the applicable descriptors for the two random variables as shown in Fig. 1 and Table 1.
Fig. 1 Proposed Descriptors for Surface Chloride and Diffusion Coefficient Table 1 Data of Chloride Diffusion Table 2 Four Repair Strategies Variables Descriptors Mean Strategy Drep Xp Cs [kg/m3] T(0.89,2.69,17.51) 7.03 CR1 : DC D0 Xc D0 [×10-12 m2/s] T(e-19, e-17.75, e-16.5) 3.11 CR 2 : 75DC 0.75D0 Xc Xc [mm] 60 (threshold depth) CR 3 : DC15 D0 Xc+15 mm CCrit [kg/m3] 2.0 (for concrete to crack) CR 4 : 75DC15 0.75D0 Xc+15 mm Table 2 shows four different repair strategies (CR1 to CR4) which are based on varying diffusion coefficients of repair concrete (Drep) and repair depths (Xp).
Hence, the reduction of diffusion coefficient of repair concrete is better than the increase of repair depth.
Oppositely, if the cumulative total CO2 is considered, the reduction of the diffusion coefficient of repair concrete is better.

In recent years, with the deepening of research of nano materials and the reduction of manufacturing cost of nano materials, the application fields of nano materials become more and more, and many researchers have carried out a large amount of research work on nano materials.
This results in the reduction of concrete volume and leads to crack formation in hardened concrete.
For water impermeability of concrete composite test, each set of per composition includes 6 specimens, and the average value of the 6 data was computed as the final result [9].
For the shrinkage properties of concrete composite test, each set of per mix includes 6 specimens, and the average value of the 6 data was computed as the final result.
For carbonation resistance of concrete composite test, each set of per composition includes 15 specimens, and the average value of the 15 data was computed as the final result.