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Crystallographic data obtained by orientation contrast microscopy (OIM) are combined with the geometrical configuration of grain boundaries at triple junctions.
After linking geometrical and structural information, the data were analyzed according to a procedure described in the literature [1].
CR % reduction Annealing T Annealing time Fe - 26 wt% Si 70% 1100°C 2h Fe - 2.8 wt% Si 75% 800°C 4h Microstructural information was obtained by optical microscopy.
As a consequence of that, insufficient data on the low-angle grain boundaries (LAGBs) are available and therefore the Read-Shockley model [2] could not be verified here.
The differences in the energy values could differ by a factor of 2 or even 3, which cannot be attributed to a statistical spread on the data.

Data revealed temperature-dependent reaction rates, with higher temperatures accelerating both hydrolysis and alcoholysis.
Observed Experimental Data Table 1.
Hydrolysis Process Data.
This data provides insights into the kinetics and thermodynamics of the hydrolysis process, demonstrating that higher temperatures accelerate the reaction rate.
Alcoholysis Process Data.

The variation of Co atomic concentration with sputtering depth was calculated from the data of SAXPS depth profiling of the AD and LB samples ( see Fig. 4 for 8 at% Co).
The MR data have been analyzed considering that ∆R/R∝[M(H)] 2.
For samples with 8 % Co content, magnetoresistance data of as dep and LC samples are reported in Fig. 9 for Hmax = 50 kOe and for T = 10, 77, 300 K.
GMR data at 10 K and 300 K for all the laser energy fluences are reported in Fig. 10 (a) and (b), respectively.
The fitting of data to Eq. 2 is quite satisfactory, also in this case, allowing us to extract the parameters αbl and H0.

Collected a large number of data from 2003to 2011 of maintenance cost for mining dump truck, established the mathematical models of maintenance cost and forecast of economic life of mining dump truck through the method of mathematical statistics regression analysis, found the rule of operation, maintenance cost overhaul and renew, forecasted the economic life of mining dump truck scientifically for 11 years, according to the economic principle of overhaul , judged whether need third overhaul and provided a basis for evaluating the economic life of domestic mine use electric wheel trucks.
According to a large open pit mine 28 630E 254T large mine electric wheel car 2003-2011 operating data and maintenance costs, fitting for a life-cycle model car, accounting for 67% of the mining field in volumes use mine electric wheel car extensive representative and authenticity.
Collection the data 3 times before overhaul and after electric wheel car overhaul, purchase fee about 8.87 million Yuan.
Conclusions Based on a large open pit copper mine run electric wheel car, the maintenance of the actual situation, collected 28 units of ore stop with electric wheel vehicles 2003-2011 annual operating and maintenance cost data, comprehensive economic management theory of modern equipment, the mathematical statistical regression analysis., to establish a mathematical model of the cost of day-to-day maintenance of the mine electric wheel car.
K. et al.An assessment of drag reduction devices for heavy trucks using design of experiments and computational fluid dynamics.

This work presents the research and development data in the field of finishing and hardening processes for parts with complicated shape surface.
Vorontsov and his school [13] there is the information about oxide film thickness on titanium (0,1-0,3 mm) and the data confirms our investigations.
While choosing the voltage, the data of Fig.2 should be taking into account.
The experimental data (curve 4) confirm the calculations on the initial sector approximately within 5 minutes before machining, than the discrepancy becomes more significant.
Maximum residual compressive stresses [18]: (13) where К6 is coefficient taking into account ratio of modules of elasticity for the part and specimen materials; К7 is coefficient of reduction which equals to ratio of flexures of specimens made of the part and test specimen materials; К8 is differentiable coefficient taking into account vibration of geometry, roughness and mechanical properties of the part and specimens materials.

Double-direction two-dimensional Maximum Scatter Difference (2D2MSD) based on Maximum Scatter Difference (MSD) was proposed，which overcame the small sample size problem of LDA, and data were more concise.
Column-direction Maximum Scatter Difference and Row-direction Principal Component Analysis (2D2MSDPCA), and Double-direction two-dimensional Maximum Scatter Difference (2D2MSD) based on MSD are used to reduce the data’s dimension. 2D2MSDPCA and 2D2MSD are two effective dimensionality reduction algorithms, which reduce running-time and increase recognition rate.

By identifying respectively the test data of the roll motion of the unmanned planting boat, the author confirmed the feasibility of the adapted program.
Through the resulting 8 kinds of identification programs, the author identified the adopted unmanned planting boat rolling motion mode data and confirmed the feasibility of the adapted program according to a better fit and a smaller average identification error of experimental curves and identification curves.
(1)Ship model is placed in the wave tank away from the wall (2)Wait until the ship model in the upright state, then read the initial angle of the ship model; (3)External force is imposed to the ship model and make ship model incline at (5°,10°,15°,20°), release of the external forces and collect data; (4)Adopt large draft and repeat step(2) (3); Fig 2.1 The hydrostatic experiment of roll Fig 2.2 Mti-G Micro AHRS System MTi-G is a miniature inertial measurement system integrated GPS signal.
Fitting the obtained identified data with the corresponding experimental data and calculate the average error
The application of the self-tuning neural network PID controller on the ship roll reduction in random waves[J] .2010,37:529-538

Results indicate that reductions in hydraulic conductivity values ranged from 1 x 10-9 to 6.79 x 10-11 m/s (i.e. two orders of magnitude) as the percentage of bentonite increased from 0 to 10%.
In this study, data on the influence of bentonite addition on the hydraulic conductivity of compacted lateritic soil was developed.
Influence of compaction water content on hydraulic conductivity of soil – bentonite mixtures Relationships between dry unit weight, hydraulic conductivity and compaction water content for the various soil mixtures are demonstrated by data shown in Figures 4 – 8.
In a manner similar to clay soils, increase in compaction water content led to reduction in hydraulic conductivity values [18-20].

The article presents a method of determining the anisotropic friction model in metal forming using multilayer artificial neural networks based on experimental data obtained from the pin-on-disk tribometer.
The experimental data set used in this research for ANN training is thus optimized by using genetic algorithm (GA).
As depicted in Fig. 1, results of this research show excellent agreement between experimental data and outcomes of neuron model for all range of slip orientation used for the training set.
Furthermore, ANN result is more symmetrical in relation to vertical line 0°-180° by ability to smooth experimental data and find the tendency of output variable variation.
Furthermore, the ANN model was characterized by ability to smooth experimental data noised by system that was recording friction force value.

However, the determination of the energy effect of the impeller on the pseudo‐gas of abrasive granules is possible with the help of experimental data and approximate calculations [16].
The experimental data also have shown that when higher amplitude was coupled with a lesser frequency the results produced in terms of surface roughness (Ra) to lead time were better, compared to combined effect of higher frequency and lower amplitude stating that among these two factors the amplitude effect is dominant [20].
Subsequently, during the next 15 minutes, there is a slight, but significant, reduction in roughness, with the Ra parameter not exceeding the desired value.
Within the period from 45 to 60 minutes of processing, a further reduction in roughness occurs, with an intensity equal to the reduction observed in the initial 0 to 15 minutes.
Increasing the vibration frequency from 15 Hz to 18 Hz has resulted in a reduction of the roughness of the processed surfaces.